Articles | Volume 14, issue 17
https://doi.org/10.5194/acp-14-9403-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-14-9403-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Review article
| 
10 Sep 2014
Review article |
| 10 Sep 2014
Advances in understanding and parameterization of small-scale physical processes in the marine Arctic climate system: a review
Finnish Meteorological Institute, Helsinki, Finland
The University Centre in Svalbard, Longyearbyen, Norway
R. Pirazzini
Finnish Meteorological Institute, Helsinki, Finland
University of Bergen, Bergen, Norway
I. A. Renfrew
University of East Anglia, Norwich, UK
J. Sedlar
Bert Bolin Center for Climate Research, Stockholm, Sweden
Department of Meteorology, Stockholm University, Stockholm, Sweden
M. Tjernström
Bert Bolin Center for Climate Research, Stockholm, Sweden
Department of Meteorology, Stockholm University, Stockholm, Sweden
C. Lüpkes
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
T. Nygård
Finnish Meteorological Institute, Helsinki, Finland
Max Planck Institute for Meteorology, Hamburg, Germany
J. Weiss
LGGE, Université de Grenoble, CNRS, Grenoble, France
D. Marsan
ISTerre, Université de Savoie, CNRS, Le Bourget-du-Lac, France
Finnish Meteorological Institute, Helsinki, Finland
G. Birnbaum
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
S. Gerland
Norwegian Polar Institute, Tromsø, Norway
D. Chechin
A. M. Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences, Moscow, Russia
J. C. Gascard
Université Pierre et Marie Curie, Paris, France
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Yubing Cheng, Bin Cheng, Roberta Pirazzini, Amy R. Macfarlane, Timo Vihma, Wolfgang Dorn, Ruzica Dadic, Martin Schneebeli, Stefanie Arndt, and Annette Rinke
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We study snow density from the MOSAiC expedition. Several snow density schemes were tested and compared with observation. A thermodynamic ice model was employed to assess the impact of snow density and precipitation on the thermal regime of sea ice. The parameterized mean snow densities are consistent with observations. Increased snow density reduces snow and ice temperatures, promoting ice growth, while increased precipitation leads to warmer snow and ice temperatures and reduced ice thickness.
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Atmos. Chem. Phys., 24, 8865–8892, https://doi.org/10.5194/acp-24-8865-2024, https://doi.org/10.5194/acp-24-8865-2024, 2024
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EGUsphere, https://doi.org/10.5194/egusphere-2024-2359, https://doi.org/10.5194/egusphere-2024-2359, 2024
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Tereza Uhlíková, Timo Vihma, Alexey Yu Karpechko, and Petteri Uotila
The Cryosphere, 18, 957–976, https://doi.org/10.5194/tc-18-957-2024, https://doi.org/10.5194/tc-18-957-2024, 2024
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A prerequisite for understanding the local, regional, and hemispherical impacts of Arctic sea-ice decline on the atmosphere is to quantify the effects of sea-ice concentration (SIC) on the sensible and latent heat fluxes in the Arctic. We analyse these effects utilising four data sets called atmospheric reanalyses, and we evaluate uncertainties in these effects arising from inter-reanalysis differences in SIC and in the sensitivity of the latent and sensible heat fluxes to SIC.
This article is included in the Encyclopedia of Geosciences
Lejiang Yu, Shiyuan Zhong, Timo Vihma, Cuijuan Sui, and Bo Sun
EGUsphere, https://doi.org/10.5194/egusphere-2023-2436, https://doi.org/10.5194/egusphere-2023-2436, 2023
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In contrary to the current understanding, there can be a strong connection between ENSO and the South Atlantic Subtropical Dipole (SASD). It is highly probable that the robust inverse correlation between ENSO and SASD will persist in the future. The ENSO-SASD correlation exhibits substantial multi-decadal variability over the course of a century. The change in the ENSO-SASD relation can be linked to changes in ENSO regime and convective activities over the central South Pacific Ocean.
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Tiina Nygård, Lukas Papritz, Tuomas Naakka, and Timo Vihma
Weather Clim. Dynam., 4, 943–961, https://doi.org/10.5194/wcd-4-943-2023, https://doi.org/10.5194/wcd-4-943-2023, 2023
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Despite the general warming trend, wintertime cold-air outbreaks in Europe have remained nearly as extreme and as common as decades ago. In this study, we identify six principal cold anomaly types over Europe in 1979–2020. We show the origins of various physical processes and their contributions to the formation of cold wintertime air masses.
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Lejiang Yu, Shiyuan Zhong, Timo Vihma, Cuijuan Sui, and Bo Sun
Atmos. Chem. Phys., 23, 345–353, https://doi.org/10.5194/acp-23-345-2023, https://doi.org/10.5194/acp-23-345-2023, 2023
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Previous studies have noted a significant relationship between the Subtropical Indian Ocean Dipole and the South Atlantic Ocean Dipole indices, but little is known about the stability of their relationship. We found a significant positive correlation between the two indices prior to the year 2000 but an insignificant correlation afterwards.
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Elena Shevnina, Miguel Potes, Timo Vihma, Tuomas Naakka, Pankaj Ramji Dhote, and Praveen Kumar Thakur
The Cryosphere, 16, 3101–3121, https://doi.org/10.5194/tc-16-3101-2022, https://doi.org/10.5194/tc-16-3101-2022, 2022
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The evaporation over an ice-free glacial lake was measured in January 2018, and the uncertainties inherent to five indirect methods were quantified. Results show that in summer up to 5 mm of water evaporated daily from the surface of the lake located in Antarctica. The indirect methods underestimated the evaporation over the lake's surface by up to 72 %. The results are important for estimating the evaporation over polar regions where a growing number of glacial lakes have recently been evident.
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A major goal of the Springtime Atmospheric Boundary Layer Experiment (STABLE) aircraft campaign was to observe atmospheric conditions during marine cold-air outbreaks (MCAOs) originating from the sea-ice-covered Arctic ocean. Quality-controlled measurements of several meteorological variables collected during 15 vertical aircraft profiles and by 22 dropsondes are presented. The comprehensive data set may be used for validating model results to improve the understanding of future trends in MCAOs.
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Atmos. Chem. Phys., 22, 4413–4469, https://doi.org/10.5194/acp-22-4413-2022, https://doi.org/10.5194/acp-22-4413-2022, 2022
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We summarize results during the last 5 years in the northern Eurasian region, especially from Russia, and introduce recent observations of the air quality in the urban environments in China. Although the scientific knowledge in these regions has increased, there are still gaps in our understanding of large-scale climate–Earth surface interactions and feedbacks. This arises from limitations in research infrastructures and integrative data analyses, hindering a comprehensive system analysis.
This article is included in the Encyclopedia of Geosciences
Bin Cheng, Yubing Cheng, Timo Vihma, Anna Kontu, Fei Zheng, Juha Lemmetyinen, Yubao Qiu, and Jouni Pulliainen
Earth Syst. Sci. Data, 13, 3967–3978, https://doi.org/10.5194/essd-13-3967-2021, https://doi.org/10.5194/essd-13-3967-2021, 2021
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Climate change strongly impacts the Arctic, with clear signs of higher air temperature and more precipitation. A sustainable observation programme has been carried out in Lake Orajärvi in Sodankylä, Finland. The high-quality air–snow–ice–water temperature profiles have been measured every winter since 2009. The data can be used to investigate the lake ice surface heat balance and the role of snow in lake ice mass balance and parameterization of snow-to-ice transformation in snow/ice models.
This article is included in the Encyclopedia of Geosciences
Wenfeng Huang, Bin Cheng, Jinrong Zhang, Zheng Zhang, Timo Vihma, Zhijun Li, and Fujun Niu
Hydrol. Earth Syst. Sci., 23, 2173–2186, https://doi.org/10.5194/hess-23-2173-2019, https://doi.org/10.5194/hess-23-2173-2019, 2019
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Up to now, little has been known on ice thermodynamics and lake–atmosphere interaction over the Tibetan Plateau during ice-covered seasons due to a lack of field data. Here, model experiments on ice thermodynamics were conducted in a shallow lake using HIGHTSI. Water–ice heat flux was a major source of uncertainty for lake ice thickness. Heat and mass budgets were estimated within the vertical air–ice–water system. Strong ice sublimation occurred and was responsible for water loss during winter.
This article is included in the Encyclopedia of Geosciences
Lejiang Yu, Shiyuan Zhong, and Timo Vihma
The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-38, https://doi.org/10.5194/tc-2019-38, 2019
Manuscript not accepted for further review
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Arctic sea ice cover has been decreasing in recent decades. The reason for the decrease remains unclear. In this study, we examine the contributions of the North Pacific SST anomalies to the decrease. There are global warming and Pacific Decadal Oscillation (PDO) modesof the North Pacific SST variability in boreal summer and autumn. The global warming mode explains 44.9% and 50.1% of the Arctic sea ice loss in boreal summer and autumn, respectively. There are 22.0% and 22.2% for PDO mode.
This article is included in the Encyclopedia of Geosciences
Timo Vihma, Petteri Uotila, Stein Sandven, Dmitry Pozdnyakov, Alexander Makshtas, Alexander Pelyasov, Roberta Pirazzini, Finn Danielsen, Sergey Chalov, Hanna K. Lappalainen, Vladimir Ivanov, Ivan Frolov, Anna Albin, Bin Cheng, Sergey Dobrolyubov, Viktor Arkhipkin, Stanislav Myslenkov, Tuukka Petäjä, and Markku Kulmala
Atmos. Chem. Phys., 19, 1941–1970, https://doi.org/10.5194/acp-19-1941-2019, https://doi.org/10.5194/acp-19-1941-2019, 2019
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The Arctic marine climate system, ecosystems, and socio-economic systems are changing rapidly. This calls for the establishment of a marine Arctic component of the Pan-Eurasian Experiment (MA-PEEX), for which we present a plan. The program will promote international collaboration; sustainable marine meteorological, sea ice, and oceanographic observations; advanced data management; and multidisciplinary research on the marine Arctic and its interaction with the Eurasian continent.
This article is included in the Encyclopedia of Geosciences
Elena Shevnina, Karoliina Pilli-Sihvola, Riina Haavisto, Timo Vihma, and Andrey Silaev
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-473, https://doi.org/10.5194/hess-2018-473, 2018
Manuscript not accepted for further review
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Projections of a potential hydropower production were evaluated in terms of probability of water resources available in the future. The future projections of annual river runoff were evaluated on average, as well as on low and high exceedance probabilities under several climate change scenarios. The main idea of the modelling method used is to simulate statistical estimators of annual river runoff (mean, variation and skewness) instead of runoff time series.
This article is included in the Encyclopedia of Geosciences
Elena Shevnina, Ekaterina Kourzeneva, Viktor Kovalenko, and Timo Vihma
Hydrol. Earth Syst. Sci., 21, 2559–2578, https://doi.org/10.5194/hess-21-2559-2017, https://doi.org/10.5194/hess-21-2559-2017, 2017
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This paper presents the probabilistic approach to evaluate design floods in a changing climate, adapted in this case to the northern territories. For the Russian Arctic, the regions are delineated, where it is suggested to correct engineering hydrological calculations to account for climate change. An example of the calculation of a maximal discharge of 1 % exceedance probability for the Nadym River at Nadym is provided.
This article is included in the Encyclopedia of Geosciences
Hanna K. Lappalainen, Veli-Matti Kerminen, Tuukka Petäjä, Theo Kurten, Aleksander Baklanov, Anatoly Shvidenko, Jaana Bäck, Timo Vihma, Pavel Alekseychik, Meinrat O. Andreae, Stephen R. Arnold, Mikhail Arshinov, Eija Asmi, Boris Belan, Leonid Bobylev, Sergey Chalov, Yafang Cheng, Natalia Chubarova, Gerrit de Leeuw, Aijun Ding, Sergey Dobrolyubov, Sergei Dubtsov, Egor Dyukarev, Nikolai Elansky, Kostas Eleftheriadis, Igor Esau, Nikolay Filatov, Mikhail Flint, Congbin Fu, Olga Glezer, Aleksander Gliko, Martin Heimann, Albert A. M. Holtslag, Urmas Hõrrak, Juha Janhunen, Sirkku Juhola, Leena Järvi, Heikki Järvinen, Anna Kanukhina, Pavel Konstantinov, Vladimir Kotlyakov, Antti-Jussi Kieloaho, Alexander S. Komarov, Joni Kujansuu, Ilmo Kukkonen, Ella-Maria Duplissy, Ari Laaksonen, Tuomas Laurila, Heikki Lihavainen, Alexander Lisitzin, Alexsander Mahura, Alexander Makshtas, Evgeny Mareev, Stephany Mazon, Dmitry Matishov, Vladimir Melnikov, Eugene Mikhailov, Dmitri Moisseev, Robert Nigmatulin, Steffen M. Noe, Anne Ojala, Mari Pihlatie, Olga Popovicheva, Jukka Pumpanen, Tatjana Regerand, Irina Repina, Aleksei Shcherbinin, Vladimir Shevchenko, Mikko Sipilä, Andrey Skorokhod, Dominick V. Spracklen, Hang Su, Dmitry A. Subetto, Junying Sun, Arkady Y. Terzhevik, Yuri Timofeyev, Yuliya Troitskaya, Veli-Pekka Tynkkynen, Viacheslav I. Kharuk, Nina Zaytseva, Jiahua Zhang, Yrjö Viisanen, Timo Vesala, Pertti Hari, Hans Christen Hansson, Gennady G. Matvienko, Nikolai S. Kasimov, Huadong Guo, Valery Bondur, Sergej Zilitinkevich, and Markku Kulmala
Atmos. Chem. Phys., 16, 14421–14461, https://doi.org/10.5194/acp-16-14421-2016, https://doi.org/10.5194/acp-16-14421-2016, 2016
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After kick off in 2012, the Pan-Eurasian Experiment (PEEX) program has expanded fast and today the multi-disciplinary research community covers ca. 80 institutes and a network of ca. 500 scientists from Europe, Russia, and China. Here we introduce scientific topics relevant in this context. This is one of the first multi-disciplinary overviews crossing scientific boundaries, from atmospheric sciences to socio-economics and social sciences.
This article is included in the Encyclopedia of Geosciences
P. Hari, T. Petäjä, J. Bäck, V.-M. Kerminen, H. K. Lappalainen, T. Vihma, T. Laurila, Y. Viisanen, T. Vesala, and M. Kulmala
Atmos. Chem. Phys., 16, 1017–1028, https://doi.org/10.5194/acp-16-1017-2016, https://doi.org/10.5194/acp-16-1017-2016, 2016
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This manuscript introduces a conceptual design of a global, hierarchical observation network which provides tools and increased understanding to tackle the inter-connected environmental and societal challenges that we will face in the coming decades. Each ecosystem type on the globe has its own characteristic features that need to be taken into consideration. The hierarchical network is able to tackle problems related to large spatial scales, heterogeneity of ecosystems and their complexity.
This article is included in the Encyclopedia of Geosciences
R. Pirazzini, P. Räisänen, T. Vihma, M. Johansson, and E.-M. Tastula
The Cryosphere, 9, 2357–2381, https://doi.org/10.5194/tc-9-2357-2015, https://doi.org/10.5194/tc-9-2357-2015, 2015
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We illustrate a method to measure the size distribution of a snow particle metric from macro photos of snow particles. This snow particle metric corresponds well to the optically equivalent effective radius. Our results evidence the impact of grain shape on albedo, indicate that more than just one particle metric distribution is needed to characterize the snow scattering properties at all optical wavelengths, and suggest an impact of surface roughness on the shortwave infrared albedo.
This article is included in the Encyclopedia of Geosciences
R. Döscher, T. Vihma, and E. Maksimovich
Atmos. Chem. Phys., 14, 13571–13600, https://doi.org/10.5194/acp-14-13571-2014, https://doi.org/10.5194/acp-14-13571-2014, 2014
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The article reviews progress in understanding of the Arctic sea ice decline. Processes are revisited from an atmospheric, ocean and sea ice perspective. There is strong evidence for decisive atmospheric drivers of sea ice change. Large-scale ocean influences on the Arctic Ocean hydrology and circulation are highly evident. Ocean heat fluxes are clearly impacting the ice margins. Little indication exists for a direct decisive influence of the warming ocean on the central Arctic sea ice cover.
This article is included in the Encyclopedia of Geosciences
A. Tetzlaff, C. Lüpkes, G. Birnbaum, J. Hartmann, T. Nygård, and T. Vihma
The Cryosphere, 8, 1757–1762, https://doi.org/10.5194/tc-8-1757-2014, https://doi.org/10.5194/tc-8-1757-2014, 2014
I. Välisuo, T. Vihma, and J. C. King
The Cryosphere, 8, 1519–1538, https://doi.org/10.5194/tc-8-1519-2014, https://doi.org/10.5194/tc-8-1519-2014, 2014
T. Nygård, T. Valkonen, and T. Vihma
Atmos. Chem. Phys., 14, 1959–1971, https://doi.org/10.5194/acp-14-1959-2014, https://doi.org/10.5194/acp-14-1959-2014, 2014
C. E. Chung, H. Cha, T. Vihma, P. Räisänen, and D. Decremer
Atmos. Chem. Phys., 13, 11209–11219, https://doi.org/10.5194/acp-13-11209-2013, https://doi.org/10.5194/acp-13-11209-2013, 2013
L. Jakobson, T. Vihma, E. Jakobson, T. Palo, A. Männik, and J. Jaagus
Atmos. Chem. Phys., 13, 11089–11099, https://doi.org/10.5194/acp-13-11089-2013, https://doi.org/10.5194/acp-13-11089-2013, 2013
A. Tetzlaff, L. Kaleschke, C. Lüpkes, F. Ament, and T. Vihma
The Cryosphere, 7, 153–166, https://doi.org/10.5194/tc-7-153-2013, https://doi.org/10.5194/tc-7-153-2013, 2013
Julia Martin, Ruzica Dadic, Brian Anderson, Roberta Pirazzini, Oliver Wigmore, and Lauren Vargo
EGUsphere, https://doi.org/10.5194/egusphere-2025-1601, https://doi.org/10.5194/egusphere-2025-1601, 2025
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This study examines how snow distribution affects Antarctic sea ice surface temperature, a key factor in its energy balance. Using drone and ground-based data, we mapped snow depth and surface temperature on 2.4 m thick sea ice in McMurdo Sound. We corrected thermal camera inconsistencies and found that surface temperature is more influenced by topography-driven solar radiation than snow depth. Our findings highlight the need to account for small-scale processes in sea ice energy balance models.
This article is included in the Encyclopedia of Geosciences
Kristiina Verro, Cecilia Äijälä, Roberta Pirazzini, Ruzica Dadic, Damien Maure, Willem Jan van de Berg, Giacomo Traversa, Christiaan T. van Dalum, Petteri Uotila, Xavier Fettweis, Biagio Di Mauro, and Milla Johansson
EGUsphere, https://doi.org/10.5194/egusphere-2025-386, https://doi.org/10.5194/egusphere-2025-386, 2025
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A realistic representation of Antarctic sea ice is crucial for accurate climate and ocean model predictions. We assessed how different models capture the sunlight reflectivity, snow cover, and ice thickness. Most performed well under mild weather conditions, but overestimated snow/ice reflectivity during cold, with patchy/thin snow conditions. High-resolution satellite imagery revealed spatial albedo variability that models failed to replicate.
This article is included in the Encyclopedia of Geosciences
Yubing Cheng, Bin Cheng, Roberta Pirazzini, Amy R. Macfarlane, Timo Vihma, Wolfgang Dorn, Ruzica Dadic, Martin Schneebeli, Stefanie Arndt, and Annette Rinke
EGUsphere, https://doi.org/10.5194/egusphere-2025-1164, https://doi.org/10.5194/egusphere-2025-1164, 2025
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We study snow density from the MOSAiC expedition. Several snow density schemes were tested and compared with observation. A thermodynamic ice model was employed to assess the impact of snow density and precipitation on the thermal regime of sea ice. The parameterized mean snow densities are consistent with observations. Increased snow density reduces snow and ice temperatures, promoting ice growth, while increased precipitation leads to warmer snow and ice temperatures and reduced ice thickness.
This article is included in the Encyclopedia of Geosciences
André Ehrlich, Susanne Crewell, Andreas Herber, Marcus Klingebiel, Christof Lüpkes, Mario Mech, Sebastian Becker, Stephan Borrmann, Heiko Bozem, Matthias Buschmann, Hans-Christian Clemen, Elena De La Torre Castro, Henning Dorff, Regis Dupuy, Oliver Eppers, Florian Ewald, Geet George, Andreas Giez, Sarah Grawe, Christophe Gourbeyre, Jörg Hartmann, Evelyn Jäkel, Philipp Joppe, Olivier Jourdan, Zsófia Jurányi, Benjamin Kirbus, Johannes Lucke, Anna E. Luebke, Maximilian Maahn, Nina Maherndl, Christian Mallaun, Johanna Mayer, Stephan Mertes, Guillaume Mioche, Manuel Moser, Hanno Müller, Veronika Pörtge, Nils Risse, Greg Roberts, Sophie Rosenburg, Johannes Röttenbacher, Michael Schäfer, Jonas Schaefer, Andreas Schäfler, Imke Schirmacher, Johannes Schneider, Sabrina Schnitt, Frank Stratmann, Christian Tatzelt, Christiane Voigt, Andreas Walbröl, Anna Weber, Bruno Wetzel, Martin Wirth, and Manfred Wendisch
Earth Syst. Sci. Data, 17, 1295–1328, https://doi.org/10.5194/essd-17-1295-2025, https://doi.org/10.5194/essd-17-1295-2025, 2025
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This paper provides an overview of the HALO–(AC)3 aircraft campaign data sets, the campaign-specific instrument operation, data processing, and data quality. The data set comprises in situ and remote sensing observations from three research aircraft: HALO, Polar 5, and Polar 6. All data are published in the PANGAEA database by instrument-separated data subsets. It is highlighted how the scientific analysis of the HALO–(AC)3 data benefits from the coordinated operation of three aircraft.
This article is included in the Encyclopedia of Geosciences
Lena G. Buth, Thomas Krumpen, Niklas Neckel, Melinda A. Webster, Gerit Birnbaum, Niels Fuchs, Philipp Heuser, Ole Johannsen, and Christian Haas
EGUsphere, https://doi.org/10.5194/egusphere-2025-1103, https://doi.org/10.5194/egusphere-2025-1103, 2025
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Arctic sea ice is becoming smoother, raising the question of how these changes affect melt pond coverage and thereby surface albedo. Using airborne imagery and laser altimeter data, we investigated how pressure ridges influence melt ponds. The presence of ridges does not directly control pond fraction, but it does influence pond size distribution and pond geometry. Small ponds have a more complex shape on rough ice than on smooth ice, while the opposite is true for large ponds.
This article is included in the Encyclopedia of Geosciences
Tereza Uhlíková, Timo Vihma, Alexey Yu Karpechko, and Petteri Uotila
The Cryosphere, 19, 1031–1046, https://doi.org/10.5194/tc-19-1031-2025, https://doi.org/10.5194/tc-19-1031-2025, 2025
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To better understand the local, regional, and global impacts of the recent rapid sea-ice decline in the Arctic, one of the key issues is to quantify the effects of sea-ice concentration on the surface radiative fluxes. We analyse these effects utilising four data sets called atmospheric reanalyses, and we evaluate uncertainties in these effects arising from inter-reanalysis differences in the sensitivity of the surface radiative fluxes to sea-ice concentration.
This article is included in the Encyclopedia of Geosciences
Puzhen Huo, Peng Lu, Bin Cheng, Miao Yu, Qingkai Wang, Xuewei Li, and Zhijun Li
The Cryosphere, 19, 849–868, https://doi.org/10.5194/tc-19-849-2025, https://doi.org/10.5194/tc-19-849-2025, 2025
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We developed a new method for retrieving lake ice phenology for a lake with complex surface cover. The method is particularly useful for mixed-pixel satellite data. We implement this method on Lake Ulansu, a lake characterized by complex shorelines and aquatic plants in northwestern China. In connection with a random forest model, we reconstructed the longest lake ice phenology in China.
This article is included in the Encyclopedia of Geosciences
Zsófia Jurányi, Christof Lüpkes, Frank Stratmann, Jörg Hartmann, Jonas Schaefer, Anna-Marie Jörss, Alexander Schulz, Bruno Wetzel, David Simon, Eduard Gebhard, Maximilian Stöhr, Paula Hofmann, Dirk Kalmbach, Sarah Grawe, and Andreas Herber
EGUsphere, https://doi.org/10.5194/egusphere-2025-619, https://doi.org/10.5194/egusphere-2025-619, 2025
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Understanding the lowest layers of the atmosphere is crucial for climate research, especially in the Arctic. Our study introduces the T-Bird, an aircraft-towed platform designed to measure turbulence and aerosol properties at extremely low altitudes. Traditional aircraft cannot access this region, making the T-Bird a breakthrough for capturing critical atmospheric data. Its first deployment over the Arctic demonstrated its potential to improve our understanding of polar processes.
This article is included in the Encyclopedia of Geosciences
Gillian Mary Damerell, Anthony Bosse, and Ilker Fer
EGUsphere, https://doi.org/10.5194/egusphere-2025-433, https://doi.org/10.5194/egusphere-2025-433, 2025
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The Lofoten Vortex is an unusual feature in the ocean: a permanent eddy which doesn’t dissipate as most eddies do. We have long thought that other eddies must merge into the Vortex in order to maintain its heat content and energetics, but such mergers are very difficult to observe due to their transient, unpredictable nature. For the first time, we have observed a merger using an ocean glider and high resolution satellite data and can document how the merger affects the properties of the Vortex.
This article is included in the Encyclopedia of Geosciences
Theresa Mathes, Heather Guy, John Prytherch, Julia Kojoj, Ian Brooks, Sonja Murto, Paul Zieger, Birgit Wehner, Michael Tjernström, and Andreas Held
EGUsphere, https://doi.org/10.5194/egusphere-2025-183, https://doi.org/10.5194/egusphere-2025-183, 2025
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The Arctic is warming faster than the global average and aerosol-cloud-sea-ice interactions are crucial for studying its climate system. During the ARTofMELT Expedition 2023, particle and sensible heat fluxes were measured over multiple surfaces. Wide lead surfaces acted as particle sources with the strongest sensible heat fluxes, while closed ice surfaces acted as a particle sink. This study improves methods to measure these interactions, enhancing our understanding of Arctic climate processes.
This article is included in the Encyclopedia of Geosciences
Saskia Kahl, Carolin Mehlmann, and Dirk Notz
The Cryosphere, 19, 129–141, https://doi.org/10.5194/tc-19-129-2025, https://doi.org/10.5194/tc-19-129-2025, 2025
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Ice mélange, a mixture of sea ice and icebergs, can impact sea-ice–ocean interactions. But climate models do not yet represent it due to computational limits. To address this shortcoming and include ice mélange into climate models, we suggest representing icebergs as particles. We integrate their feedback into mathematical equations used to model the sea-ice motion in climate models. The setup is computationally efficient due to the iceberg particle usage and enables a realistic representation.
This article is included in the Encyclopedia of Geosciences
Michail Karalis, Gunilla Svensson, Manfred Wendisch, and Michael Tjernström
EGUsphere, https://doi.org/10.5194/egusphere-2024-3709, https://doi.org/10.5194/egusphere-2024-3709, 2025
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During the spring Arctic warm-air intrusion captured by HALO-(𝒜𝒞)3, the airmass demonstrated a column-like structure. We built a Lagrangian modeling framework using a single-column model (AOSCM) to simulate the airmass transformation. Comparing to observations, reanalysis and forecast data, we found that the AOSCM can successfully reproduce the main features of the transformation. The framework can be used for future model development to improve Arctic weather and climate prediction.
This article is included in the Encyclopedia of Geosciences
Cecilia Äijälä, Yafei Nie, Lucía Gutiérrez-Loza, Chiara De Falco, Siv Kari Lauvset, Bin Cheng, David A. Bailey, and Petteri Uotila
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-213, https://doi.org/10.5194/gmd-2024-213, 2024
Revised manuscript accepted for GMD
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The sea ice around Antarctica has experienced record lows in recent years. To understand these changes, models are needed. MetROMS-UHel is a new version of an ocean–sea ice model with updated sea ice code and the atmospheric data. We investigate the effect of our updates on different variables with a focus on sea ice and show an improved sea ice representation as compared with observations.
This article is included in the Encyclopedia of Geosciences
Kjersti Kalhagen, Ragnheid Skogseth, Till M. Baumann, Eva Falck, and Ilker Fer
Ocean Sci., 20, 981–1001, https://doi.org/10.5194/os-20-981-2024, https://doi.org/10.5194/os-20-981-2024, 2024
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Atlantic water (AW) is a key driver of change in the Barents Sea. We studied an emerging pathway through the Svalbard Archipelago that allows AW to enter the Barents Sea. We found that the Atlantic sector near the study site has warmed over the past 2 decades; that Atlantic-origin waters intermittently enter the Barents Sea through the aforementioned pathway; and that heat transport is driven by tides, wind events, and variations in the upstream current system.
This article is included in the Encyclopedia of Geosciences
Manfred Wendisch, Susanne Crewell, André Ehrlich, Andreas Herber, Benjamin Kirbus, Christof Lüpkes, Mario Mech, Steven J. Abel, Elisa F. Akansu, Felix Ament, Clémantyne Aubry, Sebastian Becker, Stephan Borrmann, Heiko Bozem, Marlen Brückner, Hans-Christian Clemen, Sandro Dahlke, Georgios Dekoutsidis, Julien Delanoë, Elena De La Torre Castro, Henning Dorff, Regis Dupuy, Oliver Eppers, Florian Ewald, Geet George, Irina V. Gorodetskaya, Sarah Grawe, Silke Groß, Jörg Hartmann, Silvia Henning, Lutz Hirsch, Evelyn Jäkel, Philipp Joppe, Olivier Jourdan, Zsofia Jurányi, Michail Karalis, Mona Kellermann, Marcus Klingebiel, Michael Lonardi, Johannes Lucke, Anna E. Luebke, Maximilian Maahn, Nina Maherndl, Marion Maturilli, Bernhard Mayer, Johanna Mayer, Stephan Mertes, Janosch Michaelis, Michel Michalkov, Guillaume Mioche, Manuel Moser, Hanno Müller, Roel Neggers, Davide Ori, Daria Paul, Fiona M. Paulus, Christian Pilz, Felix Pithan, Mira Pöhlker, Veronika Pörtge, Maximilian Ringel, Nils Risse, Gregory C. Roberts, Sophie Rosenburg, Johannes Röttenbacher, Janna Rückert, Michael Schäfer, Jonas Schaefer, Vera Schemann, Imke Schirmacher, Jörg Schmidt, Sebastian Schmidt, Johannes Schneider, Sabrina Schnitt, Anja Schwarz, Holger Siebert, Harald Sodemann, Tim Sperzel, Gunnar Spreen, Bjorn Stevens, Frank Stratmann, Gunilla Svensson, Christian Tatzelt, Thomas Tuch, Timo Vihma, Christiane Voigt, Lea Volkmer, Andreas Walbröl, Anna Weber, Birgit Wehner, Bruno Wetzel, Martin Wirth, and Tobias Zinner
Atmos. Chem. Phys., 24, 8865–8892, https://doi.org/10.5194/acp-24-8865-2024, https://doi.org/10.5194/acp-24-8865-2024, 2024
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The Arctic is warming faster than the rest of the globe. Warm-air intrusions (WAIs) into the Arctic may play an important role in explaining this phenomenon. Cold-air outbreaks (CAOs) out of the Arctic may link the Arctic climate changes to mid-latitude weather. In our article, we describe how to observe air mass transformations during CAOs and WAIs using three research aircraft instrumented with state-of-the-art remote-sensing and in situ measurement devices.
This article is included in the Encyclopedia of Geosciences
Di Chen, Qizhen Sun, and Timo Vihma
EGUsphere, https://doi.org/10.5194/egusphere-2024-2359, https://doi.org/10.5194/egusphere-2024-2359, 2024
Preprint archived
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We investigates the variations and trends in Arctic sea ice during summer and autumn, focusing on the impacts of sea surface temperature (SST) and surface air temperature (SAT). Both SST and SAT significantly influence Arctic sea ice concentration. SST affects both interannual variations and decadal trends, while SAT primarily influences interannual variations. Additionally, SAT's impact on sea ice concentration leads by seven months, due to a stronger warming trend in winter than in summer.
This article is included in the Encyclopedia of Geosciences
Jonathan J. Day, Gunilla Svensson, Barbara Casati, Taneil Uttal, Siri-Jodha Khalsa, Eric Bazile, Elena Akish, Niramson Azouz, Lara Ferrighi, Helmut Frank, Michael Gallagher, Øystein Godøy, Leslie M. Hartten, Laura X. Huang, Jareth Holt, Massimo Di Stefano, Irene Suomi, Zen Mariani, Sara Morris, Ewan O'Connor, Roberta Pirazzini, Teresa Remes, Rostislav Fadeev, Amy Solomon, Johanna Tjernström, and Mikhail Tolstykh
Geosci. Model Dev., 17, 5511–5543, https://doi.org/10.5194/gmd-17-5511-2024, https://doi.org/10.5194/gmd-17-5511-2024, 2024
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The YOPP site Model Intercomparison Project (YOPPsiteMIP), which was designed to facilitate enhanced weather forecast evaluation in polar regions, is discussed here, focussing on describing the archive of forecast data and presenting a multi-model evaluation at Arctic supersites during February and March 2018. The study highlights an underestimation in boundary layer temperature variance that is common across models and a related inability to forecast cold extremes at several of the sites.
This article is included in the Encyclopedia of Geosciences
Eivind H. Kolås, Ilker Fer, and Till M. Baumann
Ocean Sci., 20, 895–916, https://doi.org/10.5194/os-20-895-2024, https://doi.org/10.5194/os-20-895-2024, 2024
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In the northwestern Barents Sea, we study the Barents Sea Polar Front formed by Atlantic Water meeting Polar Water. Analyses of ship and glider data from October 2020 to February 2021 show a density front with warm, salty water intruding under cold, fresh water. Short-term variability is linked to tidal currents and mesoscale eddies, influencing front position, density slopes and water mass transformation. Despite seasonal changes in the upper layers, the front remains stable below 100 m depth.
This article is included in the Encyclopedia of Geosciences
Taneil Uttal, Leslie M. Hartten, Siri Jodha Khalsa, Barbara Casati, Gunilla Svensson, Jonathan Day, Jareth Holt, Elena Akish, Sara Morris, Ewan O'Connor, Roberta Pirazzini, Laura X. Huang, Robert Crawford, Zen Mariani, Øystein Godøy, Johanna A. K. Tjernström, Giri Prakash, Nicki Hickmon, Marion Maturilli, and Christopher J. Cox
Geosci. Model Dev., 17, 5225–5247, https://doi.org/10.5194/gmd-17-5225-2024, https://doi.org/10.5194/gmd-17-5225-2024, 2024
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A Merged Observatory Data File (MODF) format to systematically collate complex atmosphere, ocean, and terrestrial data sets collected by multiple instruments during field campaigns is presented. The MODF format is also designed to be applied to model output data, yielding format-matching Merged Model Data Files (MMDFs). MODFs plus MMDFs will augment and accelerate the synergistic use of model results with observational data to increase understanding and predictive skill.
This article is included in the Encyclopedia of Geosciences
Zen Mariani, Sara M. Morris, Taneil Uttal, Elena Akish, Robert Crawford, Laura Huang, Jonathan Day, Johanna Tjernström, Øystein Godøy, Lara Ferrighi, Leslie M. Hartten, Jareth Holt, Christopher J. Cox, Ewan O'Connor, Roberta Pirazzini, Marion Maturilli, Giri Prakash, James Mather, Kimberly Strong, Pierre Fogal, Vasily Kustov, Gunilla Svensson, Michael Gallagher, and Brian Vasel
Earth Syst. Sci. Data, 16, 3083–3124, https://doi.org/10.5194/essd-16-3083-2024, https://doi.org/10.5194/essd-16-3083-2024, 2024
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During the Year of Polar Prediction (YOPP), we increased measurements in the polar regions and have made dedicated efforts to centralize and standardize all of the different types of datasets that have been collected to facilitate user uptake and model–observation comparisons. This paper is an overview of those efforts and a description of the novel standardized Merged Observation Data Files (MODFs), including a description of the sites, data format, and instruments.
This article is included in the Encyclopedia of Geosciences
Niels Fuchs, Luisa von Albedyll, Gerit Birnbaum, Felix Linhardt, Natascha Oppelt, and Christian Haas
The Cryosphere, 18, 2991–3015, https://doi.org/10.5194/tc-18-2991-2024, https://doi.org/10.5194/tc-18-2991-2024, 2024
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Melt ponds are key components of the Arctic sea ice system, yet methods to derive comprehensive pond depth data are missing. We present a shallow-water bathymetry retrieval to derive this elementary pond property at high spatial resolution from aerial images. The retrieval method is presented in a user-friendly way to facilitate replication. Furthermore, we provide pond properties on the MOSAiC expedition floe, giving insights into the three-dimensional pond evolution before and after drainage.
This article is included in the Encyclopedia of Geosciences
Ivan Kuznetsov, Benjamin Rabe, Alexey Androsov, Ying-Chih Fang, Mario Hoppmann, Alejandra Quintanilla-Zurita, Sven Harig, Sandra Tippenhauer, Kirstin Schulz, Volker Mohrholz, Ilker Fer, Vera Fofonova, and Markus Janout
Ocean Sci., 20, 759–777, https://doi.org/10.5194/os-20-759-2024, https://doi.org/10.5194/os-20-759-2024, 2024
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Our research introduces a tool for dynamically mapping the Arctic Ocean using data from the MOSAiC experiment. Incorporating extensive data into a model clarifies the ocean's structure and movement. Our findings on temperature, salinity, and currents reveal how water layers mix and identify areas of intense water movement. This enhances understanding of Arctic Ocean dynamics and supports climate impact studies. Our work is vital for comprehending this key region in global climate science.
This article is included in the Encyclopedia of Geosciences
Andreas Wernecke, Dirk Notz, Stefan Kern, and Thomas Lavergne
The Cryosphere, 18, 2473–2486, https://doi.org/10.5194/tc-18-2473-2024, https://doi.org/10.5194/tc-18-2473-2024, 2024
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The total Arctic sea-ice area (SIA), which is an important climate indicator, is routinely monitored with the help of satellite measurements. Uncertainties in observations of sea-ice concentration (SIC) partly cancel out when summed up to the total SIA, but the degree to which this is happening has been unclear. Here we find that the uncertainty daily SIA estimates, based on uncertainties in SIC, are about 300 000 km2. The 2002 to 2017 September decline in SIA is approx. 105 000 ± 9000 km2 a−1.
This article is included in the Encyclopedia of Geosciences
Dunwang Lu, Jianqiang Liu, Lijian Shi, Tao Zeng, Bin Cheng, Suhui Wu, and Manman Wang
The Cryosphere, 18, 1419–1441, https://doi.org/10.5194/tc-18-1419-2024, https://doi.org/10.5194/tc-18-1419-2024, 2024
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We retrieved sea ice drift in Fram Strait using the Chinese HaiYang 1D Coastal Zone Imager. The dataset is has hourly and daily intervals for analysis, and validation is performed using a synthetic aperture radar (SAR)-based product and International Arctic Buoy Programme (IABP) buoys. The differences between them are explained by investigating the spatiotemporal variability in sea ice motion. The accuracy of flow direction retrieval for sea ice drift is also related to sea ice displacement.
This article is included in the Encyclopedia of Geosciences
Yurii Batrak, Bin Cheng, and Viivi Kallio-Myers
The Cryosphere, 18, 1157–1183, https://doi.org/10.5194/tc-18-1157-2024, https://doi.org/10.5194/tc-18-1157-2024, 2024
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Atmospheric reanalyses provide consistent series of atmospheric and surface parameters in a convenient gridded form. In this paper, we study the quality of sea ice in a recently released regional reanalysis and assess its added value compared to a global reanalysis. We show that the regional reanalysis, having a more complex sea ice model, gives an improved representation of sea ice, although there are limitations indicating potential benefits in using more advanced approaches in the future.
This article is included in the Encyclopedia of Geosciences
Tereza Uhlíková, Timo Vihma, Alexey Yu Karpechko, and Petteri Uotila
The Cryosphere, 18, 957–976, https://doi.org/10.5194/tc-18-957-2024, https://doi.org/10.5194/tc-18-957-2024, 2024
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A prerequisite for understanding the local, regional, and hemispherical impacts of Arctic sea-ice decline on the atmosphere is to quantify the effects of sea-ice concentration (SIC) on the sensible and latent heat fluxes in the Arctic. We analyse these effects utilising four data sets called atmospheric reanalyses, and we evaluate uncertainties in these effects arising from inter-reanalysis differences in SIC and in the sensitivity of the latent and sensible heat fluxes to SIC.
This article is included in the Encyclopedia of Geosciences
John Prytherch, Sonja Murto, Ian Brown, Adam Ulfsbo, Brett F. Thornton, Volker Brüchert, Michael Tjernström, Anna Lunde Hermansson, Amanda T. Nylund, and Lina A. Holthusen
Biogeosciences, 21, 671–688, https://doi.org/10.5194/bg-21-671-2024, https://doi.org/10.5194/bg-21-671-2024, 2024
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We directly measured methane and carbon dioxide exchange between ocean or sea ice and the atmosphere during an icebreaker-based expedition to the central Arctic Ocean (CAO) in summer 2021. These measurements can help constrain climate models and carbon budgets. The methane measurements, the first such made in the CAO, are lower than previous estimates and imply that the CAO is an insignificant contributor to Arctic methane emission. Gas exchange rates are slower than previous estimates.
This article is included in the Encyclopedia of Geosciences
Miao Yu, Peng Lu, Matti Leppäranta, Bin Cheng, Ruibo Lei, Bingrui Li, Qingkai Wang, and Zhijun Li
The Cryosphere, 18, 273–288, https://doi.org/10.5194/tc-18-273-2024, https://doi.org/10.5194/tc-18-273-2024, 2024
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Variations in Arctic sea ice are related not only to its macroscale properties but also to its microstructure. Arctic ice cores in the summers of 2008 to 2016 were used to analyze variations in the ice inherent optical properties related to changes in the ice microstructure. The results reveal changing ice microstructure greatly increased the amount of solar radiation transmitted to the upper ocean even when a constant ice thickness was assumed, especially in marginal ice zones.
This article is included in the Encyclopedia of Geosciences
Lejiang Yu, Shiyuan Zhong, Timo Vihma, Cuijuan Sui, and Bo Sun
EGUsphere, https://doi.org/10.5194/egusphere-2023-2436, https://doi.org/10.5194/egusphere-2023-2436, 2023
Preprint archived
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In contrary to the current understanding, there can be a strong connection between ENSO and the South Atlantic Subtropical Dipole (SASD). It is highly probable that the robust inverse correlation between ENSO and SASD will persist in the future. The ENSO-SASD correlation exhibits substantial multi-decadal variability over the course of a century. The change in the ENSO-SASD relation can be linked to changes in ENSO regime and convective activities over the central South Pacific Ocean.
This article is included in the Encyclopedia of Geosciences
Tiina Nygård, Lukas Papritz, Tuomas Naakka, and Timo Vihma
Weather Clim. Dynam., 4, 943–961, https://doi.org/10.5194/wcd-4-943-2023, https://doi.org/10.5194/wcd-4-943-2023, 2023
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Despite the general warming trend, wintertime cold-air outbreaks in Europe have remained nearly as extreme and as common as decades ago. In this study, we identify six principal cold anomaly types over Europe in 1979–2020. We show the origins of various physical processes and their contributions to the formation of cold wintertime air masses.
This article is included in the Encyclopedia of Geosciences
Alexander Mchedlishvili, Christof Lüpkes, Alek Petty, Michel Tsamados, and Gunnar Spreen
The Cryosphere, 17, 4103–4131, https://doi.org/10.5194/tc-17-4103-2023, https://doi.org/10.5194/tc-17-4103-2023, 2023
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In this study we looked at sea ice–atmosphere drag coefficients, quantities that help with characterizing the friction between the atmosphere and sea ice, and vice versa. Using ICESat-2, a laser altimeter that measures elevation differences by timing how long it takes for photons it sends out to return to itself, we could map the roughness, i.e., how uneven the surface is. From roughness we then estimate drag force, the frictional force between sea ice and the atmosphere, across the Arctic.
This article is included in the Encyclopedia of Geosciences
Manfred Wendisch, Johannes Stapf, Sebastian Becker, André Ehrlich, Evelyn Jäkel, Marcus Klingebiel, Christof Lüpkes, Michael Schäfer, and Matthew D. Shupe
Atmos. Chem. Phys., 23, 9647–9667, https://doi.org/10.5194/acp-23-9647-2023, https://doi.org/10.5194/acp-23-9647-2023, 2023
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Atmospheric radiation measurements have been conducted during two field campaigns using research aircraft. The data are analyzed to see if the near-surface air in the Arctic is warmed or cooled if warm–humid air masses from the south enter the Arctic or cold–dry air moves from the north from the Arctic to mid-latitude areas. It is important to study these processes and to check if climate models represent them well. Otherwise it is not possible to reliably forecast the future Arctic climate.
This article is included in the Encyclopedia of Geosciences
Amelie U. Schmitt and Christof Lüpkes
The Cryosphere, 17, 3115–3136, https://doi.org/10.5194/tc-17-3115-2023, https://doi.org/10.5194/tc-17-3115-2023, 2023
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In the last few decades, the region between Greenland and Svalbard has experienced the largest loss of Arctic sea ice in winter. We analyze how changes in air temperature, humidity and wind in this region differ for winds that originate from sea ice covered areas and from the open ocean. The largest impacts of sea ice cover are found for temperatures close to the ice edge and up to a distance of 500 km. Up to two-thirds of the observed temperature variability is related to sea ice changes.
This article is included in the Encyclopedia of Geosciences
Lena Nicola, Dirk Notz, and Ricarda Winkelmann
The Cryosphere, 17, 2563–2583, https://doi.org/10.5194/tc-17-2563-2023, https://doi.org/10.5194/tc-17-2563-2023, 2023
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For future sea-level projections, approximating Antarctic precipitation increases through temperature-scaling approaches will remain important, as coupled ice-sheet simulations with regional climate models remain computationally expensive, especially on multi-centennial timescales. We here revisit the relationship between Antarctic temperature and precipitation using different scaling approaches, identifying and explaining regional differences.
This article is included in the Encyclopedia of Geosciences
Manuel Moser, Christiane Voigt, Tina Jurkat-Witschas, Valerian Hahn, Guillaume Mioche, Olivier Jourdan, Régis Dupuy, Christophe Gourbeyre, Alfons Schwarzenboeck, Johannes Lucke, Yvonne Boose, Mario Mech, Stephan Borrmann, André Ehrlich, Andreas Herber, Christof Lüpkes, and Manfred Wendisch
Atmos. Chem. Phys., 23, 7257–7280, https://doi.org/10.5194/acp-23-7257-2023, https://doi.org/10.5194/acp-23-7257-2023, 2023
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This study provides a comprehensive microphysical and thermodynamic phase analysis of low-level clouds in the northern Fram Strait, above the sea ice and the open ocean, during spring and summer. Using airborne in situ cloud data, we show that the properties of Arctic low-level clouds vary significantly with seasonal meteorological situations and surface conditions. The observations presented in this study can help one to assess the role of clouds in the Arctic climate system.
This article is included in the Encyclopedia of Geosciences
Ines Bulatovic, Julien Savre, Michael Tjernström, Caroline Leck, and Annica M. L. Ekman
Atmos. Chem. Phys., 23, 7033–7055, https://doi.org/10.5194/acp-23-7033-2023, https://doi.org/10.5194/acp-23-7033-2023, 2023
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We use numerical modeling with detailed cloud microphysics to investigate a low-altitude cloud system consisting of two cloud layers – a type of cloud situation which was commonly observed during the summer of 2018 in the central Arctic (north of 80° N). The model generally reproduces the observed cloud layers and the thermodynamic structure of the lower atmosphere well. The cloud system is maintained unless there are low aerosol number concentrations or high large-scale wind speeds.
This article is included in the Encyclopedia of Geosciences
Philipp de Vrese, Goran Georgievski, Jesus Fidel Gonzalez Rouco, Dirk Notz, Tobias Stacke, Norman Julius Steinert, Stiig Wilkenskjeld, and Victor Brovkin
The Cryosphere, 17, 2095–2118, https://doi.org/10.5194/tc-17-2095-2023, https://doi.org/10.5194/tc-17-2095-2023, 2023
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The current generation of Earth system models exhibits large inter-model differences in the simulated climate of the Arctic and subarctic zone. We used an adapted version of the Max Planck Institute (MPI) Earth System Model to show that differences in the representation of the soil hydrology in permafrost-affected regions could help explain a large part of this inter-model spread and have pronounced impacts on important elements of Earth systems as far to the south as the tropics.
This article is included in the Encyclopedia of Geosciences
Jan Chylik, Dmitry Chechin, Regis Dupuy, Birte S. Kulla, Christof Lüpkes, Stephan Mertes, Mario Mech, and Roel A. J. Neggers
Atmos. Chem. Phys., 23, 4903–4929, https://doi.org/10.5194/acp-23-4903-2023, https://doi.org/10.5194/acp-23-4903-2023, 2023
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Arctic low-level clouds play an important role in the ongoing warming of the Arctic. Unfortunately, these clouds are not properly represented in weather forecast and climate models. This study tries to cover this gap by focusing on clouds over open water during the spring, observed by research aircraft near Svalbard. The study combines the high-resolution model with sets of observational data. The results show the importance of processes that involve both ice and the liquid water in the clouds.
This article is included in the Encyclopedia of Geosciences
Gillian Young McCusker, Jutta Vüllers, Peggy Achtert, Paul Field, Jonathan J. Day, Richard Forbes, Ruth Price, Ewan O'Connor, Michael Tjernström, John Prytherch, Ryan Neely III, and Ian M. Brooks
Atmos. Chem. Phys., 23, 4819–4847, https://doi.org/10.5194/acp-23-4819-2023, https://doi.org/10.5194/acp-23-4819-2023, 2023
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In this study, we show that recent versions of two atmospheric models – the Unified Model and Integrated Forecasting System – overestimate Arctic cloud fraction within the lower troposphere by comparison with recent remote-sensing measurements made during the Arctic Ocean 2018 expedition. The overabundance of cloud is interlinked with the modelled thermodynamic structure, with strong negative temperature biases coincident with these overestimated cloud layers.
This article is included in the Encyclopedia of Geosciences
Dmitry G. Chechin, Christof Lüpkes, Jörg Hartmann, André Ehrlich, and Manfred Wendisch
Atmos. Chem. Phys., 23, 4685–4707, https://doi.org/10.5194/acp-23-4685-2023, https://doi.org/10.5194/acp-23-4685-2023, 2023
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Clouds represent a very important component of the Arctic climate system, as they strongly reduce the amount of heat lost to space from the sea ice surface. Properties of clouds, as well as their persistence, strongly depend on the complex interaction of such small-scale properties as phase transitions, radiative transfer and turbulence. In this study we use airborne observations to learn more about the effect of clouds and radiative cooling on turbulence in comparison with other factors.
This article is included in the Encyclopedia of Geosciences
Yafei Nie, Chengkun Li, Martin Vancoppenolle, Bin Cheng, Fabio Boeira Dias, Xianqing Lv, and Petteri Uotila
Geosci. Model Dev., 16, 1395–1425, https://doi.org/10.5194/gmd-16-1395-2023, https://doi.org/10.5194/gmd-16-1395-2023, 2023
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State-of-the-art Earth system models simulate the observed sea ice extent relatively well, but this is often due to errors in the dynamic and other processes in the simulated sea ice changes cancelling each other out. We assessed the sensitivity of these processes simulated by the coupled ocean–sea ice model NEMO4.0-SI3 to 18 parameters. The performance of the model in simulating sea ice change processes was ultimately improved by adjusting the three identified key parameters.
This article is included in the Encyclopedia of Geosciences
Na Li, Ruibo Lei, Petra Heil, Bin Cheng, Minghu Ding, Zhongxiang Tian, and Bingrui Li
The Cryosphere, 17, 917–937, https://doi.org/10.5194/tc-17-917-2023, https://doi.org/10.5194/tc-17-917-2023, 2023
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The observed annual maximum landfast ice (LFI) thickness off Zhongshan (Davis) was 1.59±0.17 m (1.64±0.08 m). Larger interannual and local spatial variabilities for the seasonality of LFI were identified at Zhongshan, with the dominant influencing factors of air temperature anomaly, snow atop, local topography and wind regime, and oceanic heat flux. The variability of LFI properties across the study domain prevailed at interannual timescales, over any trend during the recent decades.
This article is included in the Encyclopedia of Geosciences
Ruibo Lei, Mario Hoppmann, Bin Cheng, Marcel Nicolaus, Fanyi Zhang, Benjamin Rabe, Long Lin, Julia Regnery, and Donald K. Perovich
The Cryosphere Discuss., https://doi.org/10.5194/tc-2023-25, https://doi.org/10.5194/tc-2023-25, 2023
Manuscript not accepted for further review
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To characterize the freezing and melting of different types of sea ice, we deployed four IMBs during the MOSAiC second drift. The drifting pattern, together with a large snow accumulation, relatively warm air temperatures, and a rapid increase in oceanic heat close to Fram Strait, determined the seasonal evolution of the ice mass balance. The refreezing of ponded ice and voids within the unconsolidated ridges amplifies the anisotropy of the heat exchange between the ice and the atmosphere/ocean.
This article is included in the Encyclopedia of Geosciences
Lejiang Yu, Shiyuan Zhong, Timo Vihma, Cuijuan Sui, and Bo Sun
Atmos. Chem. Phys., 23, 345–353, https://doi.org/10.5194/acp-23-345-2023, https://doi.org/10.5194/acp-23-345-2023, 2023
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Previous studies have noted a significant relationship between the Subtropical Indian Ocean Dipole and the South Atlantic Ocean Dipole indices, but little is known about the stability of their relationship. We found a significant positive correlation between the two indices prior to the year 2000 but an insignificant correlation afterwards.
This article is included in the Encyclopedia of Geosciences
Abigail Smith, Alexandra Jahn, Clara Burgard, and Dirk Notz
The Cryosphere, 16, 3235–3248, https://doi.org/10.5194/tc-16-3235-2022, https://doi.org/10.5194/tc-16-3235-2022, 2022
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The timing of Arctic sea ice melt each year is an important metric for assessing how sea ice in climate models compares to satellite observations. Here, we utilize a new tool for creating more direct comparisons between climate model projections and satellite observations of Arctic sea ice, such that the melt onset dates are defined the same way. This tool allows us to identify climate model biases more clearly and gain more information about what the satellites are observing.
This article is included in the Encyclopedia of Geosciences
Elena Shevnina, Miguel Potes, Timo Vihma, Tuomas Naakka, Pankaj Ramji Dhote, and Praveen Kumar Thakur
The Cryosphere, 16, 3101–3121, https://doi.org/10.5194/tc-16-3101-2022, https://doi.org/10.5194/tc-16-3101-2022, 2022
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The evaporation over an ice-free glacial lake was measured in January 2018, and the uncertainties inherent to five indirect methods were quantified. Results show that in summer up to 5 mm of water evaporated daily from the surface of the lake located in Antarctica. The indirect methods underestimated the evaporation over the lake's surface by up to 72 %. The results are important for estimating the evaporation over polar regions where a growing number of glacial lakes have recently been evident.
This article is included in the Encyclopedia of Geosciences
Cheng You, Michael Tjernström, and Abhay Devasthale
Atmos. Chem. Phys., 22, 8037–8057, https://doi.org/10.5194/acp-22-8037-2022, https://doi.org/10.5194/acp-22-8037-2022, 2022
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In winter when solar radiation is absent in the Arctic, the poleward transport of heat and moisture into the high Arctic becomes the main contribution of Arctic warming. Over completely frozen ocean sectors, total surface energy budget is dominated by net long-wave heat, while over the Barents Sea, with an open ocean to the south, total net surface energy budget is dominated by the surface turbulent heat.
This article is included in the Encyclopedia of Geosciences
Gilles Reverdin, Claire Waelbroeck, Catherine Pierre, Camille Akhoudas, Giovanni Aloisi, Marion Benetti, Bernard Bourlès, Magnus Danielsen, Jérôme Demange, Denis Diverrès, Jean-Claude Gascard, Marie-Noëlle Houssais, Hervé Le Goff, Pascale Lherminier, Claire Lo Monaco, Herlé Mercier, Nicolas Metzl, Simon Morisset, Aïcha Naamar, Thierry Reynaud, Jean-Baptiste Sallée, Virginie Thierry, Susan E. Hartman, Edward W. Mawji, Solveig Olafsdottir, Torsten Kanzow, Anton Velo, Antje Voelker, Igor Yashayaev, F. Alexander Haumann, Melanie J. Leng, Carol Arrowsmith, and Michael Meredith
Earth Syst. Sci. Data, 14, 2721–2735, https://doi.org/10.5194/essd-14-2721-2022, https://doi.org/10.5194/essd-14-2721-2022, 2022
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The CISE-LOCEAN seawater stable isotope dataset has close to 8000 data entries. The δ18O and δD isotopic data measured at LOCEAN have uncertainties of at most 0.05 ‰ and 0.25 ‰, respectively. Some data were adjusted to correct for evaporation. The internal consistency indicates that the data can be used to investigate time and space variability to within 0.03 ‰ and 0.15 ‰ in δ18O–δD17; comparisons with data analyzed in other institutions suggest larger differences with other datasets.
This article is included in the Encyclopedia of Geosciences
Piyush Srivastava, Ian M. Brooks, John Prytherch, Dominic J. Salisbury, Andrew D. Elvidge, Ian A. Renfrew, and Margaret J. Yelland
Atmos. Chem. Phys., 22, 4763–4778, https://doi.org/10.5194/acp-22-4763-2022, https://doi.org/10.5194/acp-22-4763-2022, 2022
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The parameterization of surface turbulent fluxes over sea ice remains a weak point in weather forecast and climate models. Recent theoretical developments have introduced more extensive physics but these descriptions are poorly constrained due to a lack of observation data. Here we utilize a large dataset of measurements of turbulent fluxes over sea ice to tune the state-of-the-art parameterization of wind stress, and compare it with a previous scheme.
This article is included in the Encyclopedia of Geosciences
Janosch Michaelis, Amelie U. Schmitt, Christof Lüpkes, Jörg Hartmann, Gerit Birnbaum, and Timo Vihma
Earth Syst. Sci. Data, 14, 1621–1637, https://doi.org/10.5194/essd-14-1621-2022, https://doi.org/10.5194/essd-14-1621-2022, 2022
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A major goal of the Springtime Atmospheric Boundary Layer Experiment (STABLE) aircraft campaign was to observe atmospheric conditions during marine cold-air outbreaks (MCAOs) originating from the sea-ice-covered Arctic ocean. Quality-controlled measurements of several meteorological variables collected during 15 vertical aircraft profiles and by 22 dropsondes are presented. The comprehensive data set may be used for validating model results to improve the understanding of future trends in MCAOs.
This article is included in the Encyclopedia of Geosciences
Hanna K. Lappalainen, Tuukka Petäjä, Timo Vihma, Jouni Räisänen, Alexander Baklanov, Sergey Chalov, Igor Esau, Ekaterina Ezhova, Matti Leppäranta, Dmitry Pozdnyakov, Jukka Pumpanen, Meinrat O. Andreae, Mikhail Arshinov, Eija Asmi, Jianhui Bai, Igor Bashmachnikov, Boris Belan, Federico Bianchi, Boris Biskaborn, Michael Boy, Jaana Bäck, Bin Cheng, Natalia Chubarova, Jonathan Duplissy, Egor Dyukarev, Konstantinos Eleftheriadis, Martin Forsius, Martin Heimann, Sirkku Juhola, Vladimir Konovalov, Igor Konovalov, Pavel Konstantinov, Kajar Köster, Elena Lapshina, Anna Lintunen, Alexander Mahura, Risto Makkonen, Svetlana Malkhazova, Ivan Mammarella, Stefano Mammola, Stephany Buenrostro Mazon, Outi Meinander, Eugene Mikhailov, Victoria Miles, Stanislav Myslenkov, Dmitry Orlov, Jean-Daniel Paris, Roberta Pirazzini, Olga Popovicheva, Jouni Pulliainen, Kimmo Rautiainen, Torsten Sachs, Vladimir Shevchenko, Andrey Skorokhod, Andreas Stohl, Elli Suhonen, Erik S. Thomson, Marina Tsidilina, Veli-Pekka Tynkkynen, Petteri Uotila, Aki Virkkula, Nadezhda Voropay, Tobias Wolf, Sayaka Yasunaka, Jiahua Zhang, Yubao Qiu, Aijun Ding, Huadong Guo, Valery Bondur, Nikolay Kasimov, Sergej Zilitinkevich, Veli-Matti Kerminen, and Markku Kulmala
Atmos. Chem. Phys., 22, 4413–4469, https://doi.org/10.5194/acp-22-4413-2022, https://doi.org/10.5194/acp-22-4413-2022, 2022
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We summarize results during the last 5 years in the northern Eurasian region, especially from Russia, and introduce recent observations of the air quality in the urban environments in China. Although the scientific knowledge in these regions has increased, there are still gaps in our understanding of large-scale climate–Earth surface interactions and feedbacks. This arises from limitations in research infrastructures and integrative data analyses, hindering a comprehensive system analysis.
This article is included in the Encyclopedia of Geosciences
Yu Liang, Haibo Bi, Haijun Huang, Ruibo Lei, Xi Liang, Bin Cheng, and Yunhe Wang
The Cryosphere, 16, 1107–1123, https://doi.org/10.5194/tc-16-1107-2022, https://doi.org/10.5194/tc-16-1107-2022, 2022
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A record minimum July sea ice extent, since 1979, was observed in 2020. Our results reveal that an anomalously high advection of energy and water vapor prevailed during spring (April to June) 2020 over regions with noticeable sea ice retreat. The large-scale atmospheric circulation and cyclones act in concert to trigger the exceptionally warm and moist flow. The convergence of the transport changed the atmospheric characteristics and the surface energy budget, thus causing a severe sea ice melt.
This article is included in the Encyclopedia of Geosciences
Eivind H. Kolås, Tore Mo-Bjørkelund, and Ilker Fer
Ocean Sci., 18, 389–400, https://doi.org/10.5194/os-18-389-2022, https://doi.org/10.5194/os-18-389-2022, 2022
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A turbulence instrument was installed on a light autonomous underwater vehicle (AUV) and deployed in the Barents Sea in February 2021. We present the data quality and discuss limitations when measuring turbulence from the AUV. AUV vibrations contaminate the turbulence measurements, yet the measurements were sufficiently cleaned when the AUV operated in turbulent environments. In quiescent environments the noise from the AUV became relatively large, making the turbulence measurements unreliable.
This article is included in the Encyclopedia of Geosciences
Anna A. Shestakova, Dmitry G. Chechin, Christof Lüpkes, Jörg Hartmann, and Marion Maturilli
Atmos. Chem. Phys., 22, 1529–1548, https://doi.org/10.5194/acp-22-1529-2022, https://doi.org/10.5194/acp-22-1529-2022, 2022
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This article presents a comprehensive analysis of the easterly orographic wind episode which occurred over Svalbard on 30–31 May 2017. This wind caused a significant temperature rise on the lee side of the mountains and greatly intensified the snowmelt. This episode was investigated on the basis of measurements collected during the ACLOUD/PASCAL field campaigns with the help of numerical modeling.
This article is included in the Encyclopedia of Geosciences
Tiina Nygård, Michael Tjernström, and Tuomas Naakka
Weather Clim. Dynam., 2, 1263–1282, https://doi.org/10.5194/wcd-2-1263-2021, https://doi.org/10.5194/wcd-2-1263-2021, 2021
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Temperature and humidity profiles in the Arctic atmosphere in winter are affected by both the large-scale dynamics and the local processes, such as radiation, cloud formation and turbulence. The results show that the influence of different large-scale flows on temperature and humidity profiles must be viewed as a progressing set of processes. Within the Arctic, there are notable regional differences in how large-scale flows affect the temperature and specific humidity profiles.
This article is included in the Encyclopedia of Geosciences
Manu Anna Thomas, Abhay Devasthale, and Tiina Nygård
Atmos. Chem. Phys., 21, 16593–16608, https://doi.org/10.5194/acp-21-16593-2021, https://doi.org/10.5194/acp-21-16593-2021, 2021
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The impact of transported pollutants and their spatial distribution in the Arctic are governed by the local atmospheric circulation or weather states. Therefore, we investigated eight different atmospheric circulation types observed during the spring season in the Arctic. Using satellite and reanalysis datasets, this study provides a comprehensive assessment of the typical circulation patterns that can lead to enhanced or reduced pollution concentrations in the different sectors of the Arctic.
This article is included in the Encyclopedia of Geosciences
Bin Cheng, Yubing Cheng, Timo Vihma, Anna Kontu, Fei Zheng, Juha Lemmetyinen, Yubao Qiu, and Jouni Pulliainen
Earth Syst. Sci. Data, 13, 3967–3978, https://doi.org/10.5194/essd-13-3967-2021, https://doi.org/10.5194/essd-13-3967-2021, 2021
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Climate change strongly impacts the Arctic, with clear signs of higher air temperature and more precipitation. A sustainable observation programme has been carried out in Lake Orajärvi in Sodankylä, Finland. The high-quality air–snow–ice–water temperature profiles have been measured every winter since 2009. The data can be used to investigate the lake ice surface heat balance and the role of snow in lake ice mass balance and parameterization of snow-to-ice transformation in snow/ice models.
This article is included in the Encyclopedia of Geosciences
Xiaoxu Shi, Dirk Notz, Jiping Liu, Hu Yang, and Gerrit Lohmann
Geosci. Model Dev., 14, 4891–4908, https://doi.org/10.5194/gmd-14-4891-2021, https://doi.org/10.5194/gmd-14-4891-2021, 2021
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The ice–ocean heat flux is one of the key elements controlling sea ice changes. It motivates our study, which aims to examine the responses of modeled climate to three ice–ocean heat flux parameterizations, including two old approaches that assume one-way heat transport and a new one describing a double-diffusive ice–ocean heat exchange. The results show pronounced differences in the modeled sea ice, ocean, and atmosphere states for the latter as compared to the former two parameterizations.
This article is included in the Encyclopedia of Geosciences
Erik Johansson, Abhay Devasthale, Michael Tjernström, Annica M. L. Ekman, Klaus Wyser, and Tristan L'Ecuyer
Geosci. Model Dev., 14, 4087–4101, https://doi.org/10.5194/gmd-14-4087-2021, https://doi.org/10.5194/gmd-14-4087-2021, 2021
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Understanding the coupling of clouds to large-scale circulation is a grand challenge for the climate community. Cloud radiative heating (CRH) is a key parameter in this coupling and is therefore essential to model realistically. We, therefore, evaluate a climate model against satellite observations. Our findings indicate good agreement in the seasonal pattern of CRH even if the magnitude differs. We also find that increasing the horizontal resolution in the model has little effect on the CRH.
This article is included in the Encyclopedia of Geosciences
H. Jakob Belter, Thomas Krumpen, Luisa von Albedyll, Tatiana A. Alekseeva, Gerit Birnbaum, Sergei V. Frolov, Stefan Hendricks, Andreas Herber, Igor Polyakov, Ian Raphael, Robert Ricker, Sergei S. Serovetnikov, Melinda Webster, and Christian Haas
The Cryosphere, 15, 2575–2591, https://doi.org/10.5194/tc-15-2575-2021, https://doi.org/10.5194/tc-15-2575-2021, 2021
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Summer sea ice thickness observations based on electromagnetic induction measurements north of Fram Strait show a 20 % reduction in mean and modal ice thickness from 2001–2020. The observed variability is caused by changes in drift speeds and consequential variations in sea ice age and number of freezing-degree days. Increased ocean heat fluxes measured upstream in the source regions of Arctic ice seem to precondition ice thickness, which is potentially still measurable more than a year later.
This article is included in the Encyclopedia of Geosciences
Johannes S. Dugstad, Pål Erik Isachsen, and Ilker Fer
Ocean Sci., 17, 651–674, https://doi.org/10.5194/os-17-651-2021, https://doi.org/10.5194/os-17-651-2021, 2021
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We quantify the mesoscale eddy field in the Lofoten Basin using Lagrangian model trajectories and aim to estimate the relative importance of eddies compared to the ambient flow in transporting warm Atlantic Water to the Lofoten Basin as well as modifying it. Water properties are largely changed in eddies compared to the ambient flow. However, only a relatively small fraction of eddies is detected in the basin. The ambient flow therefore dominates the heat transport to the Lofoten Basin.
This article is included in the Encyclopedia of Geosciences
Johannes Stapf, André Ehrlich, Christof Lüpkes, and Manfred Wendisch
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2021-279, https://doi.org/10.5194/acp-2021-279, 2021
Preprint withdrawn
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Airborne observations of the surface radiative energy budget in the marginal sea ice zone (the region between open ocean and closed sea ice) are presented. Atmospheric thermodynamic profiles and surface properties change on small spatial scales in this area and influence the impact of clouds on the radiative energy budget. The radiation budget over sea ice is compared to available studies in the Arctic and the influence of cold air outbreaks and warm air intrusions is illustrated.
This article is included in the Encyclopedia of Geosciences
Stanislav Myslenkov, Anna Shestakova, and Dmitry Chechin
Atmos. Chem. Phys., 21, 5575–5595, https://doi.org/10.5194/acp-21-5575-2021, https://doi.org/10.5194/acp-21-5575-2021, 2021
Ruibo Lei, Mario Hoppmann, Bin Cheng, Guangyu Zuo, Dawei Gui, Qiongqiong Cai, H. Jakob Belter, and Wangxiao Yang
The Cryosphere, 15, 1321–1341, https://doi.org/10.5194/tc-15-1321-2021, https://doi.org/10.5194/tc-15-1321-2021, 2021
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Quantification of ice deformation is useful for understanding of the role of ice dynamics in climate change. Using data of 32 buoys, we characterized spatiotemporal variations in ice kinematics and deformation in the Pacific sector of Arctic Ocean for autumn–winter 2018/19. Sea ice in the south and west has stronger mobility than in the east and north, which weakens from autumn to winter. An enhanced Arctic dipole and weakened Beaufort Gyre in winter lead to an obvious turning of ice drifting.
This article is included in the Encyclopedia of Geosciences
Max Thomas, James France, Odile Crabeck, Benjamin Hall, Verena Hof, Dirk Notz, Tokoloho Rampai, Leif Riemenschneider, Oliver John Tooth, Mathilde Tranter, and Jan Kaiser
Atmos. Meas. Tech., 14, 1833–1849, https://doi.org/10.5194/amt-14-1833-2021, https://doi.org/10.5194/amt-14-1833-2021, 2021
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We describe the Roland von Glasow Air-Sea-Ice Chamber, a laboratory facility for studying ocean–sea-ice–atmosphere interactions. We characterise the technical capabilities of our facility to help future users plan and perform experiments. We also characterise the sea ice grown in the facility, showing that the extinction of photosynthetically active radiation, the bulk salinity, and the growth rate of our artificial sea ice are within the range of natural values.
This article is included in the Encyclopedia of Geosciences
Zoe Koenig, Eivind H. Kolås, and Ilker Fer
Ocean Sci., 17, 365–381, https://doi.org/10.5194/os-17-365-2021, https://doi.org/10.5194/os-17-365-2021, 2021
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The Arctic Ocean is a major sink for heat and salt for the global ocean. Ocean mixing contributes to this sink by mixing the Atlantic and Pacific waters with surrounding waters. We investigate the drivers of ocean mixing north of Svalbard based on observations collected during two research cruises in 2018 as part of the Nansen Legacy project. We found that wind and tidal forcing are the main drivers and that 1 % of the Atlantic Water heat loss can be attributed to vertical turbulent mixing.
This article is included in the Encyclopedia of Geosciences
Terhikki Manninen, Kati Anttila, Emmihenna Jääskeläinen, Aku Riihelä, Jouni Peltoniemi, Petri Räisänen, Panu Lahtinen, Niilo Siljamo, Laura Thölix, Outi Meinander, Anna Kontu, Hanne Suokanerva, Roberta Pirazzini, Juha Suomalainen, Teemu Hakala, Sanna Kaasalainen, Harri Kaartinen, Antero Kukko, Olivier Hautecoeur, and Jean-Louis Roujean
The Cryosphere, 15, 793–820, https://doi.org/10.5194/tc-15-793-2021, https://doi.org/10.5194/tc-15-793-2021, 2021
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The primary goal of this paper is to present a model of snow surface albedo (brightness) accounting for small-scale surface roughness effects. It can be combined with any volume scattering model. The results indicate that surface roughness may decrease the albedo by about 1–3 % in midwinter and even more than 10 % during the late melting season. The effect is largest for low solar zenith angle values and lower bulk snow albedo values.
This article is included in the Encyclopedia of Geosciences
Evelyn Jäkel, Tim Carlsen, André Ehrlich, Manfred Wendisch, Michael Schäfer, Sophie Rosenburg, Konstantina Nakoudi, Marco Zanatta, Gerit Birnbaum, Veit Helm, Andreas Herber, Larysa Istomina, Linlu Mei, and Anika Rohde
The Cryosphere Discuss., https://doi.org/10.5194/tc-2021-14, https://doi.org/10.5194/tc-2021-14, 2021
Preprint withdrawn
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Different approaches to retrieve the optical-equivalent snow grain size using satellite, airborne, and ground-based observations were evaluated and compared to modeled data. The study is focused on low Sun and partly rough surface conditions encountered North of Greenland in March/April 2018. We proposed an adjusted airborne retrieval method to reduce the retrieval uncertainty.
This article is included in the Encyclopedia of Geosciences
Jutta Vüllers, Peggy Achtert, Ian M. Brooks, Michael Tjernström, John Prytherch, Annika Burzik, and Ryan Neely III
Atmos. Chem. Phys., 21, 289–314, https://doi.org/10.5194/acp-21-289-2021, https://doi.org/10.5194/acp-21-289-2021, 2021
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This paper provides interesting new results on the thermodynamic structure of the boundary layer, cloud conditions, and fog characteristics in the Arctic during the Arctic Ocean 2018 campaign. It provides information for interpreting further process studies on aerosol–cloud interactions and shows substantial differences in thermodynamic conditions and cloud characteristics based on comparison with previous campaigns. This certainly raises the question of whether it is just an exceptional year.
This article is included in the Encyclopedia of Geosciences
Peggy Achtert, Ewan J. O'Connor, Ian M. Brooks, Georgia Sotiropoulou, Matthew D. Shupe, Bernhard Pospichal, Barbara J. Brooks, and Michael Tjernström
Atmos. Chem. Phys., 20, 14983–15002, https://doi.org/10.5194/acp-20-14983-2020, https://doi.org/10.5194/acp-20-14983-2020, 2020
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We present observations of precipitating and non-precipitating Arctic liquid and mixed-phase clouds during a research cruise along the Russian shelf in summer and autumn of 2014. Active remote-sensing observations, radiosondes, and auxiliary measurements are combined in the synergistic Cloudnet retrieval. Cloud properties are analysed with respect to cloud-top temperature and boundary layer structure. About 8 % of all liquid clouds show a liquid water path below the infrared black body limit.
This article is included in the Encyclopedia of Geosciences
Tim Carlsen, Gerit Birnbaum, André Ehrlich, Veit Helm, Evelyn Jäkel, Michael Schäfer, and Manfred Wendisch
The Cryosphere, 14, 3959–3978, https://doi.org/10.5194/tc-14-3959-2020, https://doi.org/10.5194/tc-14-3959-2020, 2020
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The angular reflection of solar radiation by snow surfaces is particularly anisotropic and highly variable. We measured the angular reflection from an aircraft using a digital camera in Antarctica in 2013/14 and studied its variability: the anisotropy increases with a lower Sun but decreases for rougher surfaces and larger snow grains. The applied methodology allows for a direct comparison with satellite observations, which generally underestimated the anisotropy measured within this study.
This article is included in the Encyclopedia of Geosciences
Johannes Stapf, André Ehrlich, Evelyn Jäkel, Christof Lüpkes, and Manfred Wendisch
Atmos. Chem. Phys., 20, 9895–9914, https://doi.org/10.5194/acp-20-9895-2020, https://doi.org/10.5194/acp-20-9895-2020, 2020
Stefan Kern, Thomas Lavergne, Dirk Notz, Leif Toudal Pedersen, and Rasmus Tonboe
The Cryosphere, 14, 2469–2493, https://doi.org/10.5194/tc-14-2469-2020, https://doi.org/10.5194/tc-14-2469-2020, 2020
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Arctic sea-ice concentration (SIC) estimates based on satellite passive microwave observations are highly inaccurate during summer melt. We compare 10 different SIC products with independent satellite data of true SIC and melt pond fraction (MPF). All products disagree with the true SIC. Regional and inter-product differences can be large and depend on the MPF. An inadequate treatment of melting snow and melt ponds in the products’ algorithms appears to be the main explanation for our findings.
This article is included in the Encyclopedia of Geosciences
Clara Burgard, Dirk Notz, Leif T. Pedersen, and Rasmus T. Tonboe
The Cryosphere, 14, 2369–2386, https://doi.org/10.5194/tc-14-2369-2020, https://doi.org/10.5194/tc-14-2369-2020, 2020
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The high disagreement between observations of Arctic sea ice makes it difficult to evaluate climate models with observations. We investigate the possibility of translating the model state into what a satellite could observe. We find that we do not need complex information about the vertical distribution of temperature and salinity inside the ice but instead are able to assume simplified distributions to reasonably translate the simulated sea ice into satellite
This article is included in the Encyclopedia of Geosciences
language.
Clara Burgard, Dirk Notz, Leif T. Pedersen, and Rasmus T. Tonboe
The Cryosphere, 14, 2387–2407, https://doi.org/10.5194/tc-14-2387-2020, https://doi.org/10.5194/tc-14-2387-2020, 2020
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The high disagreement between observations of Arctic sea ice inhibits the evaluation of climate models with observations. We develop a tool that translates the simulated Arctic Ocean state into what a satellite could observe from space in the form of brightness temperatures, a measure for the radiation emitted by the surface. We find that the simulated brightness temperatures compare well with the observed brightness temperatures. This tool brings a new perspective for climate model evaluation.
This article is included in the Encyclopedia of Geosciences
Ilker Fer, Anthony Bosse, and Johannes Dugstad
Ocean Sci., 16, 685–701, https://doi.org/10.5194/os-16-685-2020, https://doi.org/10.5194/os-16-685-2020, 2020
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We analyzed 14-month-long observations from moored instruments to describe the average features and the variability of the Norwegian Atlantic Slope Current at the Lofoten Escarpment (13°E, 69°N). The slope current varies strongly with depth and in time. Pulses of strong current occur, lasting for 1 to 2 weeks, and extend as deep as 600 m. The average volume transport is 2 x 106 m3 s-1.
This article is included in the Encyclopedia of Geosciences
Xiaoyong Yu, Annette Rinke, Wolfgang Dorn, Gunnar Spreen, Christof Lüpkes, Hiroshi Sumata, and Vladimir M. Gryanik
The Cryosphere, 14, 1727–1746, https://doi.org/10.5194/tc-14-1727-2020, https://doi.org/10.5194/tc-14-1727-2020, 2020
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This study presents an evaluation of Arctic sea ice drift speed for the period 2003–2014 in a state-of-the-art coupled regional model for the Arctic, called HIRHAM–NAOSIM. In particular, the dependency of the drift speed on the near-surface wind speed and sea ice conditions is presented. Effects of sea ice form drag included by an improved parameterization of the transfer coefficients for momentum and heat over sea ice are discussed.
This article is included in the Encyclopedia of Geosciences
Ghislain Picard, Marie Dumont, Maxim Lamare, François Tuzet, Fanny Larue, Roberta Pirazzini, and Laurent Arnaud
The Cryosphere, 14, 1497–1517, https://doi.org/10.5194/tc-14-1497-2020, https://doi.org/10.5194/tc-14-1497-2020, 2020
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Surface albedo is an essential variable of snow-covered areas. The measurement of this variable over a tilted terrain with levelled sensors is affected by artefacts that need to be corrected. Here we develop a theory of spectral albedo measurement over slopes from which we derive four correction algorithms. The comparison to in situ measurements taken in the Alps shows the adequacy of the theory, and the application of the algorithms shows systematic improvements.
This article is included in the Encyclopedia of Geosciences
Erik M. Bruvik, Ilker Fer, Kjetil Våge, and Peter M. Haugan
Ocean Sci., 16, 291–305, https://doi.org/10.5194/os-16-291-2020, https://doi.org/10.5194/os-16-291-2020, 2020
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A concept of small and slow ocean gliders or profiling floats with wings is explored. These robots or drones measure the ocean temperature and currents. Even if the speed is very slow, only 13 cm s1, it is possible to navigate the (simulated) ocean using a navigation method called Eulerian roaming. The slow speed and size conserve a lot of energy and enable scientific missions of years at sea.
This article is included in the Encyclopedia of Geosciences
Stefan Kern, Thomas Lavergne, Dirk Notz, Leif Toudal Pedersen, Rasmus Tage Tonboe, Roberto Saldo, and Atle MacDonald Sørensen
The Cryosphere, 13, 3261–3307, https://doi.org/10.5194/tc-13-3261-2019, https://doi.org/10.5194/tc-13-3261-2019, 2019
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A systematic evaluation of 10 global satellite data products of the polar sea-ice area is performed. Inter-product differences in evaluation results call for careful consideration of data product limitations when performing sea-ice area trend analyses and for further mitigation of the effects of sensor changes. We open a discussion about evaluation strategies for such data products near-0 % and near-100 % sea-ice concentration, e.g. with the aim to improve high-concentration evaluation accuracy.
This article is included in the Encyclopedia of Geosciences
André Ehrlich, Manfred Wendisch, Christof Lüpkes, Matthias Buschmann, Heiko Bozem, Dmitri Chechin, Hans-Christian Clemen, Régis Dupuy, Olliver Eppers, Jörg Hartmann, Andreas Herber, Evelyn Jäkel, Emma Järvinen, Olivier Jourdan, Udo Kästner, Leif-Leonard Kliesch, Franziska Köllner, Mario Mech, Stephan Mertes, Roland Neuber, Elena Ruiz-Donoso, Martin Schnaiter, Johannes Schneider, Johannes Stapf, and Marco Zanatta
Earth Syst. Sci. Data, 11, 1853–1881, https://doi.org/10.5194/essd-11-1853-2019, https://doi.org/10.5194/essd-11-1853-2019, 2019
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During the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign, two research aircraft (Polar 5 and 6) jointly performed 22 research flights over the transition zone between open ocean and closed sea ice. The data set combines remote sensing and in situ measurement of cloud, aerosol, and trace gas properties, as well as turbulent and radiative fluxes, which will be used to study Arctic boundary layer and mid-level clouds and their role in Arctic amplification.
This article is included in the Encyclopedia of Geosciences
Wenfeng Huang, Bin Cheng, Jinrong Zhang, Zheng Zhang, Timo Vihma, Zhijun Li, and Fujun Niu
Hydrol. Earth Syst. Sci., 23, 2173–2186, https://doi.org/10.5194/hess-23-2173-2019, https://doi.org/10.5194/hess-23-2173-2019, 2019
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Up to now, little has been known on ice thermodynamics and lake–atmosphere interaction over the Tibetan Plateau during ice-covered seasons due to a lack of field data. Here, model experiments on ice thermodynamics were conducted in a shallow lake using HIGHTSI. Water–ice heat flux was a major source of uncertainty for lake ice thickness. Heat and mass budgets were estimated within the vertical air–ice–water system. Strong ice sublimation occurred and was responsible for water loss during winter.
This article is included in the Encyclopedia of Geosciences
Lejiang Yu, Shiyuan Zhong, and Timo Vihma
The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-38, https://doi.org/10.5194/tc-2019-38, 2019
Manuscript not accepted for further review
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Arctic sea ice cover has been decreasing in recent decades. The reason for the decrease remains unclear. In this study, we examine the contributions of the North Pacific SST anomalies to the decrease. There are global warming and Pacific Decadal Oscillation (PDO) modesof the North Pacific SST variability in boreal summer and autumn. The global warming mode explains 44.9% and 50.1% of the Arctic sea ice loss in boreal summer and autumn, respectively. There are 22.0% and 22.2% for PDO mode.
This article is included in the Encyclopedia of Geosciences
Timo Vihma, Petteri Uotila, Stein Sandven, Dmitry Pozdnyakov, Alexander Makshtas, Alexander Pelyasov, Roberta Pirazzini, Finn Danielsen, Sergey Chalov, Hanna K. Lappalainen, Vladimir Ivanov, Ivan Frolov, Anna Albin, Bin Cheng, Sergey Dobrolyubov, Viktor Arkhipkin, Stanislav Myslenkov, Tuukka Petäjä, and Markku Kulmala
Atmos. Chem. Phys., 19, 1941–1970, https://doi.org/10.5194/acp-19-1941-2019, https://doi.org/10.5194/acp-19-1941-2019, 2019
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The Arctic marine climate system, ecosystems, and socio-economic systems are changing rapidly. This calls for the establishment of a marine Arctic component of the Pan-Eurasian Experiment (MA-PEEX), for which we present a plan. The program will promote international collaboration; sustainable marine meteorological, sea ice, and oceanographic observations; advanced data management; and multidisciplinary research on the marine Arctic and its interaction with the Eurasian continent.
This article is included in the Encyclopedia of Geosciences
Jean-Claude Gascard, Jinlun Zhang, and Mehrad Rafizadeh
The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-2, https://doi.org/10.5194/tc-2019-2, 2019
Revised manuscript not accepted
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From ERA Interim surface air temperature reanalysis, we estimated Freezing Degrees Days (FDD) over the whole Arctic Ocean during the freezing period each year for the past 40 years. We deduced sea ice growth from FDD that we compared with model (PIOMAS) and satellite (Cryosat-2) estimations. The warming of the Atmosphere and the vertical heat fluxes from the Ocean are contributing to the Arctic sea ice rapid decline. A disappearance of Arctic sea ice in summer is predictable within 15 years.
This article is included in the Encyclopedia of Geosciences
Thomas Lavergne, Atle Macdonald Sørensen, Stefan Kern, Rasmus Tonboe, Dirk Notz, Signe Aaboe, Louisa Bell, Gorm Dybkjær, Steinar Eastwood, Carolina Gabarro, Georg Heygster, Mari Anne Killie, Matilde Brandt Kreiner, John Lavelle, Roberto Saldo, Stein Sandven, and Leif Toudal Pedersen
The Cryosphere, 13, 49–78, https://doi.org/10.5194/tc-13-49-2019, https://doi.org/10.5194/tc-13-49-2019, 2019
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The loss of polar sea ice is an iconic indicator of Earth’s climate change. Many satellite-based algorithms and resulting data exist but they differ widely in specific sea-ice conditions. This spread hinders a robust estimate of the future evolution of sea-ice cover.
In this study, we document three new climate data records of sea-ice concentration generated using satellite data available over the last 40 years. We introduce the novel algorithms, the data records, and their uncertainties.
This article is included in the Encyclopedia of Geosciences
Eivind Kolås and Ilker Fer
Ocean Sci., 14, 1603–1618, https://doi.org/10.5194/os-14-1603-2018, https://doi.org/10.5194/os-14-1603-2018, 2018
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Measurements of ocean currents, stratification and microstructure collected northwest of Svalbard are used to characterize the evolution of the warm Atlantic current. The measured turbulent heat flux is too small to account for the observed cooling rate of the current. The estimated contribution of diffusion by eddies could be limited to one half of the observed heat loss. Mixing in the bottom boundary layer, driven by cross-slope flow of buoyant water, can be important.
This article is included in the Encyclopedia of Geosciences
Erlend M. Knudsen, Bernd Heinold, Sandro Dahlke, Heiko Bozem, Susanne Crewell, Irina V. Gorodetskaya, Georg Heygster, Daniel Kunkel, Marion Maturilli, Mario Mech, Carolina Viceto, Annette Rinke, Holger Schmithüsen, André Ehrlich, Andreas Macke, Christof Lüpkes, and Manfred Wendisch
Atmos. Chem. Phys., 18, 17995–18022, https://doi.org/10.5194/acp-18-17995-2018, https://doi.org/10.5194/acp-18-17995-2018, 2018
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The paper describes the synoptic development during the ACLOUD/PASCAL airborne and ship-based field campaign near Svalbard in spring 2017. This development is presented using near-surface and upperair meteorological observations, satellite, and model data. We first present time series of these data, from which we identify and characterize three key periods. Finally, we put our observations in historical and regional contexts and compare our findings to other Arctic field campaigns.
This article is included in the Encyclopedia of Geosciences
Elena Shevnina, Karoliina Pilli-Sihvola, Riina Haavisto, Timo Vihma, and Andrey Silaev
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-473, https://doi.org/10.5194/hess-2018-473, 2018
Manuscript not accepted for further review
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Projections of a potential hydropower production were evaluated in terms of probability of water resources available in the future. The future projections of annual river runoff were evaluated on average, as well as on low and high exceedance probabilities under several climate change scenarios. The main idea of the modelling method used is to simulate statistical estimators of annual river runoff (mean, variation and skewness) instead of runoff time series.
This article is included in the Encyclopedia of Geosciences
Jan Melchior van Wessem, Willem Jan van de Berg, Brice P. Y. Noël, Erik van Meijgaard, Charles Amory, Gerit Birnbaum, Constantijn L. Jakobs, Konstantin Krüger, Jan T. M. Lenaerts, Stef Lhermitte, Stefan R. M. Ligtenberg, Brooke Medley, Carleen H. Reijmer, Kristof van Tricht, Luke D. Trusel, Lambertus H. van Ulft, Bert Wouters, Jan Wuite, and Michiel R. van den Broeke
The Cryosphere, 12, 1479–1498, https://doi.org/10.5194/tc-12-1479-2018, https://doi.org/10.5194/tc-12-1479-2018, 2018
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We present a detailed evaluation of the latest version of the regional atmospheric climate model RACMO2.3p2 (1979-2016) over the Antarctic ice sheet. The model successfully reproduces the present-day climate and surface mass balance (SMB) when compared with an extensive set of observations and improves on previous estimates of the Antarctic climate and SMB.
This study shows that the latest version of RACMO2 can be used for high-resolution future projections over the AIS.
This article is included in the Encyclopedia of Geosciences
Peng Lu, Matti Leppäranta, Bin Cheng, Zhijun Li, Larysa Istomina, and Georg Heygster
The Cryosphere, 12, 1331–1345, https://doi.org/10.5194/tc-12-1331-2018, https://doi.org/10.5194/tc-12-1331-2018, 2018
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It is the first time that the color of melt ponds on Arctic sea ice was quantitatively and thoroughly investigated. We answer the question of why the color of melt ponds can change and what the physical and optical reasons are that lead to such changes. More importantly, melt-pond color was provided as potential data in determining ice thickness, especially under the summer conditions when other methods such as remote sensing are unavailable.
This article is included in the Encyclopedia of Geosciences
Tim Carlsen, Gerit Birnbaum, André Ehrlich, Johannes Freitag, Georg Heygster, Larysa Istomina, Sepp Kipfstuhl, Anaïs Orsi, Michael Schäfer, and Manfred Wendisch
The Cryosphere, 11, 2727–2741, https://doi.org/10.5194/tc-11-2727-2017, https://doi.org/10.5194/tc-11-2727-2017, 2017
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The optical size of snow grains (ropt) affects the reflectivity of snow surfaces and thus the local surface energy budget in particular in polar regions. The temporal evolution of ropt retrieved from ground-based, airborne, and spaceborne remote sensing could reproduce optical in situ measurements for a 2-month period in central Antarctica (2013/14). The presented validation study provided a unique testbed for retrievals of ropt under Antarctic conditions where in situ data are scarce.
This article is included in the Encyclopedia of Geosciences
Katharina Loewe, Annica M. L. Ekman, Marco Paukert, Joseph Sedlar, Michael Tjernström, and Corinna Hoose
Atmos. Chem. Phys., 17, 6693–6704, https://doi.org/10.5194/acp-17-6693-2017, https://doi.org/10.5194/acp-17-6693-2017, 2017
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Processes that affect Arctic mixed-phase cloud life cycle are extremely important for the surface energy budget. Three different sensitivity experiments mimic changes in the advection of air masses with different thermodynamic profiles and aerosol properties to find the potential mechanisms leading to the dissipation of the cloud. We found that the reduction of the cloud droplet number concentration was likely the primary contributor to the dissipation of the observed Arctic mixed-phase cloud.
This article is included in the Encyclopedia of Geosciences
Elena Shevnina, Ekaterina Kourzeneva, Viktor Kovalenko, and Timo Vihma
Hydrol. Earth Syst. Sci., 21, 2559–2578, https://doi.org/10.5194/hess-21-2559-2017, https://doi.org/10.5194/hess-21-2559-2017, 2017
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This paper presents the probabilistic approach to evaluate design floods in a changing climate, adapted in this case to the northern territories. For the Russian Arctic, the regions are delineated, where it is suggested to correct engineering hydrological calculations to account for climate change. An example of the calculation of a maximal discharge of 1 % exceedance probability for the Nadym River at Nadym is provided.
This article is included in the Encyclopedia of Geosciences
Karl-Göran Karlsson, Kati Anttila, Jörg Trentmann, Martin Stengel, Jan Fokke Meirink, Abhay Devasthale, Timo Hanschmann, Steffen Kothe, Emmihenna Jääskeläinen, Joseph Sedlar, Nikos Benas, Gerd-Jan van Zadelhoff, Cornelia Schlundt, Diana Stein, Stefan Finkensieper, Nina Håkansson, and Rainer Hollmann
Atmos. Chem. Phys., 17, 5809–5828, https://doi.org/10.5194/acp-17-5809-2017, https://doi.org/10.5194/acp-17-5809-2017, 2017
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The paper presents the second version of a global climate data record based on satellite measurements from polar orbiting weather satellites. It describes the global evolution of cloudiness, surface albedo and surface radiation during the time period 1982–2015. The main improvements of algorithms are described together with some validation results. In addition, some early analysis is presented of some particularly interesting climate features (Arctic albedo and cloudiness + global cloudiness).
This article is included in the Encyclopedia of Geosciences
Hanna K. Lappalainen, Veli-Matti Kerminen, Tuukka Petäjä, Theo Kurten, Aleksander Baklanov, Anatoly Shvidenko, Jaana Bäck, Timo Vihma, Pavel Alekseychik, Meinrat O. Andreae, Stephen R. Arnold, Mikhail Arshinov, Eija Asmi, Boris Belan, Leonid Bobylev, Sergey Chalov, Yafang Cheng, Natalia Chubarova, Gerrit de Leeuw, Aijun Ding, Sergey Dobrolyubov, Sergei Dubtsov, Egor Dyukarev, Nikolai Elansky, Kostas Eleftheriadis, Igor Esau, Nikolay Filatov, Mikhail Flint, Congbin Fu, Olga Glezer, Aleksander Gliko, Martin Heimann, Albert A. M. Holtslag, Urmas Hõrrak, Juha Janhunen, Sirkku Juhola, Leena Järvi, Heikki Järvinen, Anna Kanukhina, Pavel Konstantinov, Vladimir Kotlyakov, Antti-Jussi Kieloaho, Alexander S. Komarov, Joni Kujansuu, Ilmo Kukkonen, Ella-Maria Duplissy, Ari Laaksonen, Tuomas Laurila, Heikki Lihavainen, Alexander Lisitzin, Alexsander Mahura, Alexander Makshtas, Evgeny Mareev, Stephany Mazon, Dmitry Matishov, Vladimir Melnikov, Eugene Mikhailov, Dmitri Moisseev, Robert Nigmatulin, Steffen M. Noe, Anne Ojala, Mari Pihlatie, Olga Popovicheva, Jukka Pumpanen, Tatjana Regerand, Irina Repina, Aleksei Shcherbinin, Vladimir Shevchenko, Mikko Sipilä, Andrey Skorokhod, Dominick V. Spracklen, Hang Su, Dmitry A. Subetto, Junying Sun, Arkady Y. Terzhevik, Yuri Timofeyev, Yuliya Troitskaya, Veli-Pekka Tynkkynen, Viacheslav I. Kharuk, Nina Zaytseva, Jiahua Zhang, Yrjö Viisanen, Timo Vesala, Pertti Hari, Hans Christen Hansson, Gennady G. Matvienko, Nikolai S. Kasimov, Huadong Guo, Valery Bondur, Sergej Zilitinkevich, and Markku Kulmala
Atmos. Chem. Phys., 16, 14421–14461, https://doi.org/10.5194/acp-16-14421-2016, https://doi.org/10.5194/acp-16-14421-2016, 2016
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After kick off in 2012, the Pan-Eurasian Experiment (PEEX) program has expanded fast and today the multi-disciplinary research community covers ca. 80 institutes and a network of ca. 500 scientists from Europe, Russia, and China. Here we introduce scientific topics relevant in this context. This is one of the first multi-disciplinary overviews crossing scientific boundaries, from atmospheric sciences to socio-economics and social sciences.
This article is included in the Encyclopedia of Geosciences
Gillian Young, Hazel M. Jones, Thomas W. Choularton, Jonathan Crosier, Keith N. Bower, Martin W. Gallagher, Rhiannon S. Davies, Ian A. Renfrew, Andrew D. Elvidge, Eoghan Darbyshire, Franco Marenco, Philip R. A. Brown, Hugo M. A. Ricketts, Paul J. Connolly, Gary Lloyd, Paul I. Williams, James D. Allan, Jonathan W. Taylor, Dantong Liu, and Michael J. Flynn
Atmos. Chem. Phys., 16, 13945–13967, https://doi.org/10.5194/acp-16-13945-2016, https://doi.org/10.5194/acp-16-13945-2016, 2016
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Clouds are intricately coupled to the Arctic sea ice. Our inability to accurately model cloud fractions causes large uncertainties in predicted radiative interactions in this region, therefore, affecting sea ice forecasts. Here, we present measurements of cloud microphysics, aerosol properties, and thermodynamic structure over the transition from sea ice to ocean to improve our understanding of the relationship between the Arctic atmosphere and clouds which develop in this region.
This article is included in the Encyclopedia of Geosciences
Dirk Notz, Alexandra Jahn, Marika Holland, Elizabeth Hunke, François Massonnet, Julienne Stroeve, Bruno Tremblay, and Martin Vancoppenolle
Geosci. Model Dev., 9, 3427–3446, https://doi.org/10.5194/gmd-9-3427-2016, https://doi.org/10.5194/gmd-9-3427-2016, 2016
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The large-scale evolution of sea ice is both an indicator and a driver of climate changes. Hence, a realistic simulation of sea ice is key for a realistic simulation of the climate system of our planet. To assess and to improve the realism of sea-ice simulations, we present here a new protocol for climate-model output that allows for an in-depth analysis of the simulated evolution of sea ice.
This article is included in the Encyclopedia of Geosciences
François Ritter, Hans Christian Steen-Larsen, Martin Werner, Valérie Masson-Delmotte, Anais Orsi, Melanie Behrens, Gerit Birnbaum, Johannes Freitag, Camille Risi, and Sepp Kipfstuhl
The Cryosphere, 10, 1647–1663, https://doi.org/10.5194/tc-10-1647-2016, https://doi.org/10.5194/tc-10-1647-2016, 2016
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We present successful continuous measurements of water vapor isotopes performed in Antarctica in January 2013. The interest is to understand the impact of the water vapor isotopic composition on the near-surface snow isotopes. Our study reveals a diurnal cycle in the snow isotopic composition in phase with the vapor. This finding suggests fractionation during the sublimation of the ice, which has an important consequence on the interpretation of water isotope variations in ice cores.
This article is included in the Encyclopedia of Geosciences
Sebastian Bathiany, Bregje van der Bolt, Mark S. Williamson, Timothy M. Lenton, Marten Scheffer, Egbert H. van Nes, and Dirk Notz
The Cryosphere, 10, 1631–1645, https://doi.org/10.5194/tc-10-1631-2016, https://doi.org/10.5194/tc-10-1631-2016, 2016
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We examine if a potential "tipping point" in Arctic sea ice, causing abrupt and irreversible sea-ice loss, could be foreseen with statistical early warning signals. We assess this idea by using several models of different complexity. We find robust and consistent trends in variability that are not specific to the existence of a tipping point. While this makes an early warning impossible, it allows to estimate sea-ice variability from only short observational records or reconstructions.
This article is included in the Encyclopedia of Geosciences
Véronique Dansereau, Jérôme Weiss, Pierre Saramito, and Philippe Lattes
The Cryosphere, 10, 1339–1359, https://doi.org/10.5194/tc-10-1339-2016, https://doi.org/10.5194/tc-10-1339-2016, 2016
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In this paper we present a new mechanical modelling framework for the deformation of sea ice on regional and larger scales named Maxwell elasto-brittle. The model successfully reproduces the formation of narrow, oriented leads which concentrate the deformation within the damaged, i.e., fractured, ice as well as the intermittency of the damaging process, and hence represents a relevant contribution to the ongoing development of operational modelling platforms, regional and global climate models.
This article is included in the Encyclopedia of Geosciences
Jenny E. Ullgren, Elin Darelius, and Ilker Fer
Ocean Sci., 12, 451–470, https://doi.org/10.5194/os-12-451-2016, https://doi.org/10.5194/os-12-451-2016, 2016
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One-year long moored measurements of currents and hydrographic properties in the overflow region of the Faroe Bank Channel have provided a more accurate observational-based estimate of the volume transport, entrainment, and eddy diffusivities associated with the overflow plume. The data set resolves the temporal variability and covers the entire lateral and vertical extent of the plume.
This article is included in the Encyclopedia of Geosciences
A. D. Elvidge, I. A. Renfrew, A. I. Weiss, I. M. Brooks, T. A. Lachlan-Cope, and J. C. King
Atmos. Chem. Phys., 16, 1545–1563, https://doi.org/10.5194/acp-16-1545-2016, https://doi.org/10.5194/acp-16-1545-2016, 2016
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Rare aircraft observations of surface momentum flux over the Arctic marginal ice zone provide the best means yet to constrain model representation of MIZ surface roughness. The sensitivity of surface roughness to ice concentration over the Arctic MIZ is presented; these results do not support the values used in many models. However, a leading parameterization scheme (that of Lüpkes et al., 2012) is found to provide a good representation of form drag, after some parameter alterations.
This article is included in the Encyclopedia of Geosciences
P. Hari, T. Petäjä, J. Bäck, V.-M. Kerminen, H. K. Lappalainen, T. Vihma, T. Laurila, Y. Viisanen, T. Vesala, and M. Kulmala
Atmos. Chem. Phys., 16, 1017–1028, https://doi.org/10.5194/acp-16-1017-2016, https://doi.org/10.5194/acp-16-1017-2016, 2016
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This manuscript introduces a conceptual design of a global, hierarchical observation network which provides tools and increased understanding to tackle the inter-connected environmental and societal challenges that we will face in the coming decades. Each ecosystem type on the globe has its own characteristic features that need to be taken into consideration. The hierarchical network is able to tackle problems related to large spatial scales, heterogeneity of ecosystems and their complexity.
This article is included in the Encyclopedia of Geosciences
L. Oziel, J. Sirven, and J.-C. Gascard
Ocean Sci., 12, 169–184, https://doi.org/10.5194/os-12-169-2016, https://doi.org/10.5194/os-12-169-2016, 2016
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The Barents Sea (BS) is a subpolar region and a zone transition where the Atlantic and the Arctic water masses meets and creates the "Polar Front". This study, based on one of the largest hydrological data set, showed for the first time that the "Polar Front" splits into two branches in the eastern part of the BS. This study also showed that, in a context of climate change, the BS experiences an "Atlantification", which goes along with a north-eastward shift of the frontal structure.
This article is included in the Encyclopedia of Geosciences
R. Pirazzini, P. Räisänen, T. Vihma, M. Johansson, and E.-M. Tastula
The Cryosphere, 9, 2357–2381, https://doi.org/10.5194/tc-9-2357-2015, https://doi.org/10.5194/tc-9-2357-2015, 2015
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We illustrate a method to measure the size distribution of a snow particle metric from macro photos of snow particles. This snow particle metric corresponds well to the optically equivalent effective radius. Our results evidence the impact of grain shape on albedo, indicate that more than just one particle metric distribution is needed to characterize the snow scattering properties at all optical wavelengths, and suggest an impact of surface roughness on the shortwave infrared albedo.
This article is included in the Encyclopedia of Geosciences
P. Achtert, I. M. Brooks, B. J. Brooks, B. I. Moat, J. Prytherch, P. O. G. Persson, and M. Tjernström
Atmos. Meas. Tech., 8, 4993–5007, https://doi.org/10.5194/amt-8-4993-2015, https://doi.org/10.5194/amt-8-4993-2015, 2015
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Doppler lidar wind measurements were obtained during a 3-month Arctic cruise in summer 2014. Ship-motion effects were compensated by combining a commercial Doppler lidar with a custom-made motion-stabilisation platform. This enables the retrieval of wind profiles in the Arctic boundary layer with uncertainties comparable to land-based lidar measurements and standard radiosondes. The presented set-up has the potential to facilitate continuous ship-based wind profile measurements over the oceans.
This article is included in the Encyclopedia of Geosciences
E. Darelius, I. Fer, T. Rasmussen, C. Guo, and K. M. H. Larsen
Ocean Sci., 11, 855–871, https://doi.org/10.5194/os-11-855-2015, https://doi.org/10.5194/os-11-855-2015, 2015
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Quasi-regular eddies are known to be generated in the outflow of dense water through the Faroe Bank Channel. One year long mooring records from the plume region show that (1) the energy associated with the eddies varies by a factor of 10 throughout the year and (2) the frequency of the eddies shifts between 3 and 6 days and is related to the strength of the outflow. Similar variability is shown by a high-resolution regional model and the observations agree with theory on baroclinic instability.
This article is included in the Encyclopedia of Geosciences
E. Johansson, A. Devasthale, T. L'Ecuyer, A. M. L. Ekman, and M. Tjernström
Atmos. Chem. Phys., 15, 11557–11570, https://doi.org/10.5194/acp-15-11557-2015, https://doi.org/10.5194/acp-15-11557-2015, 2015
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Both radiative and latent heat components of total diabatic heating influence Indian monsoon dynamics. This study investigates radiative component in detail, focusing on various cloud types that have largest radiative impact during summer monsoon over the Indian subcontinent. The vertical structure of radiative heating and its intra-seasonal variability is investigated with particular emphasis on the upper troposphere and lower stratosphere (UTLS) region.
This article is included in the Encyclopedia of Geosciences
L. Istomina, G. Heygster, M. Huntemann, P. Schwarz, G. Birnbaum, R. Scharien, C. Polashenski, D. Perovich, E. Zege, A. Malinka, A. Prikhach, and I. Katsev
The Cryosphere, 9, 1551–1566, https://doi.org/10.5194/tc-9-1551-2015, https://doi.org/10.5194/tc-9-1551-2015, 2015
J. Krug, G. Durand, O. Gagliardini, and J. Weiss
The Cryosphere, 9, 989–1003, https://doi.org/10.5194/tc-9-989-2015, https://doi.org/10.5194/tc-9-989-2015, 2015
I. Fer, M. Müller, and A. K. Peterson
Ocean Sci., 11, 287–304, https://doi.org/10.5194/os-11-287-2015, https://doi.org/10.5194/os-11-287-2015, 2015
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Over the Yermak Plateau northwest of Svalbard there is substantial energy conversion from barotropic to internal tides. Internal tides are trapped along the topography. An approximate local conversion-to-dissipation balance is found over
shallows and also in the deep part of the sloping flanks. Dissipation of
tidal energy can be a significant contributor to turbulent mixing and cooling of the Atlantic layer in the Arctic Ocean.
This article is included in the Encyclopedia of Geosciences
D. V. Divine, M. A. Granskog, S. R. Hudson, C. A. Pedersen, T. I. Karlsen, S. A. Divina, A. H. H. Renner, and S. Gerland
The Cryosphere, 9, 255–268, https://doi.org/10.5194/tc-9-255-2015, https://doi.org/10.5194/tc-9-255-2015, 2015
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Regional melt pond coverage and albedo of thin (70-90cm) first year Arctic sea ice in advanced stage of melt was estimated from a combination of low-altitude imagery and in situ measurements north of Svalbard in summer 2012. The study revealed a homogeneous melt across the study area with a typical pond fraction of 0.29 and sea-ice albedo of 0.44. A decrease in pond fraction was, however, observed in the 30km marginal ice zone, occurring in parallel with an increase in open-water coverage.
This article is included in the Encyclopedia of Geosciences
R. Döscher, T. Vihma, and E. Maksimovich
Atmos. Chem. Phys., 14, 13571–13600, https://doi.org/10.5194/acp-14-13571-2014, https://doi.org/10.5194/acp-14-13571-2014, 2014
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The article reviews progress in understanding of the Arctic sea ice decline. Processes are revisited from an atmospheric, ocean and sea ice perspective. There is strong evidence for decisive atmospheric drivers of sea ice change. Large-scale ocean influences on the Arctic Ocean hydrology and circulation are highly evident. Ocean heat fluxes are clearly impacting the ice margins. Little indication exists for a direct decisive influence of the warming ocean on the central Arctic sea ice cover.
This article is included in the Encyclopedia of Geosciences
G. Sotiropoulou, J. Sedlar, M. Tjernström, M. D. Shupe, I. M. Brooks, and P. O. G. Persson
Atmos. Chem. Phys., 14, 12573–12592, https://doi.org/10.5194/acp-14-12573-2014, https://doi.org/10.5194/acp-14-12573-2014, 2014
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During ASCOS, clouds are more frequently decoupled from the surface than coupled to it; when coupling occurs it is primary driven by the cloud. Decoupled clouds have a bimodal structure; they are either weakly or strongly decoupled from the surface; the enhancement of the decoupling is possibly due to sublimation of precipitation. Stable clouds (no cloud-driven mixing) are also observed; those are optically thin, often single-phase liquid, with no or negligible precipitation (e.g. fog).
This article is included in the Encyclopedia of Geosciences
A. Tetzlaff, C. Lüpkes, G. Birnbaum, J. Hartmann, T. Nygård, and T. Vihma
The Cryosphere, 8, 1757–1762, https://doi.org/10.5194/tc-8-1757-2014, https://doi.org/10.5194/tc-8-1757-2014, 2014
I. Välisuo, T. Vihma, and J. C. King
The Cryosphere, 8, 1519–1538, https://doi.org/10.5194/tc-8-1519-2014, https://doi.org/10.5194/tc-8-1519-2014, 2014
N. Chauché, A. Hubbard, J.-C. Gascard, J. E. Box, R. Bates, M. Koppes, A. Sole, P. Christoffersen, and H. Patton
The Cryosphere, 8, 1457–1468, https://doi.org/10.5194/tc-8-1457-2014, https://doi.org/10.5194/tc-8-1457-2014, 2014
S. Rysgaard, F. Wang, R. J. Galley, R. Grimm, D. Notz, M. Lemes, N.-X. Geilfus, A. Chaulk, A. A. Hare, O. Crabeck, B. G. T. Else, K. Campbell, L. L. Sørensen, J. Sievers, and T. Papakyriakou
The Cryosphere, 8, 1469–1478, https://doi.org/10.5194/tc-8-1469-2014, https://doi.org/10.5194/tc-8-1469-2014, 2014
M. Bakhoday Paskyabi and I. Fer
Nonlin. Processes Geophys., 21, 713–733, https://doi.org/10.5194/npg-21-713-2014, https://doi.org/10.5194/npg-21-713-2014, 2014
D. Zanchettin, O. Bothe, C. Timmreck, J. Bader, A. Beitsch, H.-F. Graf, D. Notz, and J. H. Jungclaus
Earth Syst. Dynam., 5, 223–242, https://doi.org/10.5194/esd-5-223-2014, https://doi.org/10.5194/esd-5-223-2014, 2014
M. Tjernström, C. Leck, C. E. Birch, J. W. Bottenheim, B. J. Brooks, I. M. Brooks, L. Bäcklin, R. Y.-W. Chang, G. de Leeuw, L. Di Liberto, S. de la Rosa, E. Granath, M. Graus, A. Hansel, J. Heintzenberg, A. Held, A. Hind, P. Johnston, J. Knulst, M. Martin, P. A. Matrai, T. Mauritsen, M. Müller, S. J. Norris, M. V. Orellana, D. A. Orsini, J. Paatero, P. O. G. Persson, Q. Gao, C. Rauschenberg, Z. Ristovski, J. Sedlar, M. D. Shupe, B. Sierau, A. Sirevaag, S. Sjogren, O. Stetzer, E. Swietlicki, M. Szczodrak, P. Vaattovaara, N. Wahlberg, M. Westberg, and C. R. Wheeler
Atmos. Chem. Phys., 14, 2823–2869, https://doi.org/10.5194/acp-14-2823-2014, https://doi.org/10.5194/acp-14-2823-2014, 2014
C. Wesslén, M. Tjernström, D. H. Bromwich, G. de Boer, A. M. L. Ekman, L.-S. Bai, and S.-H. Wang
Atmos. Chem. Phys., 14, 2605–2624, https://doi.org/10.5194/acp-14-2605-2014, https://doi.org/10.5194/acp-14-2605-2014, 2014
T. Nygård, T. Valkonen, and T. Vihma
Atmos. Chem. Phys., 14, 1959–1971, https://doi.org/10.5194/acp-14-1959-2014, https://doi.org/10.5194/acp-14-1959-2014, 2014
D. Notz
The Cryosphere, 8, 229–243, https://doi.org/10.5194/tc-8-229-2014, https://doi.org/10.5194/tc-8-229-2014, 2014
G. de Boer, M. D. Shupe, P. M. Caldwell, S. E. Bauer, O. Persson, J. S. Boyle, M. Kelley, S. A. Klein, and M. Tjernström
Atmos. Chem. Phys., 14, 427–445, https://doi.org/10.5194/acp-14-427-2014, https://doi.org/10.5194/acp-14-427-2014, 2014
E. Støylen and I. Fer
Nonlin. Processes Geophys., 21, 87–100, https://doi.org/10.5194/npg-21-87-2014, https://doi.org/10.5194/npg-21-87-2014, 2014
P. Kupiszewski, C. Leck, M. Tjernström, S. Sjogren, J. Sedlar, M. Graus, M. Müller, B. Brooks, E. Swietlicki, S. Norris, and A. Hansel
Atmos. Chem. Phys., 13, 12405–12431, https://doi.org/10.5194/acp-13-12405-2013, https://doi.org/10.5194/acp-13-12405-2013, 2013
C. E. Chung, H. Cha, T. Vihma, P. Räisänen, and D. Decremer
Atmos. Chem. Phys., 13, 11209–11219, https://doi.org/10.5194/acp-13-11209-2013, https://doi.org/10.5194/acp-13-11209-2013, 2013
L. Jakobson, T. Vihma, E. Jakobson, T. Palo, A. Männik, and J. Jaagus
Atmos. Chem. Phys., 13, 11089–11099, https://doi.org/10.5194/acp-13-11089-2013, https://doi.org/10.5194/acp-13-11089-2013, 2013
M. -A. N. Moen, A. P. Doulgeris, S. N. Anfinsen, A. H. H. Renner, N. Hughes, S. Gerland, and T. Eltoft
The Cryosphere, 7, 1693–1705, https://doi.org/10.5194/tc-7-1693-2013, https://doi.org/10.5194/tc-7-1693-2013, 2013
M. D. Shupe, P. O. G. Persson, I. M. Brooks, M. Tjernström, J. Sedlar, T. Mauritsen, S. Sjogren, and C. Leck
Atmos. Chem. Phys., 13, 9379–9399, https://doi.org/10.5194/acp-13-9379-2013, https://doi.org/10.5194/acp-13-9379-2013, 2013
M. Vancoppenolle, D. Notz, F. Vivier, J. Tison, B. Delille, G. Carnat, J. Zhou, F. Jardon, P. Griewank, A. Lourenço, and T. Haskell
The Cryosphere Discuss., https://doi.org/10.5194/tcd-7-3209-2013, https://doi.org/10.5194/tcd-7-3209-2013, 2013
Revised manuscript not accepted
A. Tetzlaff, L. Kaleschke, C. Lüpkes, F. Ament, and T. Vihma
The Cryosphere, 7, 153–166, https://doi.org/10.5194/tc-7-153-2013, https://doi.org/10.5194/tc-7-153-2013, 2013
S. Tietsche, D. Notz, J. H. Jungclaus, and J. Marotzke
Ocean Sci., 9, 19–36, https://doi.org/10.5194/os-9-19-2013, https://doi.org/10.5194/os-9-19-2013, 2013
Related subject area
Subject: Hydrosphere Interactions | Research Activity: Field Measurements | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Local evaporation controlled by regional atmospheric circulation in the Altiplano of the Atacama Desert
Drought-induced biomass burning as a source of black carbon to the central Himalaya since 1781 CE as reconstructed from the Dasuopu ice core
Tritium as a hydrological tracer in Mediterranean precipitation events
Identification of soil-cooling rains in southern France from soil temperature and soil moisture observations
Towards an advanced observation system for the marine Arctic in the framework of the Pan-Eurasian Experiment (PEEX)
Cryosphere: a kingdom of anomalies and diversity
Using eddy covariance to measure the dependence of air–sea CO2 exchange rate on friction velocity
Dominance of climate warming effects on recent drying trends over wet monsoon regions
Characterisation of boundary layer turbulent processes by the Raman lidar BASIL in the frame of HD(CP)2 Observational Prototype Experiment
Climatic controls on water vapor deuterium excess in the marine boundary layer of the North Atlantic based on 500 days of in situ, continuous measurements
Multi-season eddy covariance observations of energy, water and carbon fluxes over a suburban area in Swindon, UK
The role of the global cryosphere in the fate of organic contaminants
Snow optical properties at Dome C (Concordia), Antarctica; implications for snow emissions and snow chemistry of reactive nitrogen
Uncertainties in wind speed dependent CO2 transfer velocities due to airflow distortion at anemometer sites on ships
Felipe Lobos-Roco, Oscar Hartogensis, Jordi Vilà-Guerau de Arellano, Alberto de la Fuente, Ricardo Muñoz, José Rutllant, and Francisco Suárez
Atmos. Chem. Phys., 21, 9125–9150, https://doi.org/10.5194/acp-21-9125-2021, https://doi.org/10.5194/acp-21-9125-2021, 2021
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We investigate the influence of regional atmospheric circulation on the evaporation of a saline lake in the Altiplano region of the Atacama Desert through a field experiment and regional modeling. Our results show that evaporation is controlled by two regimes: (1) in the morning by local conditions with low evaporation rates and low wind speed and (2) in the afternoon with high evaporation rates and high wind speed. Afternoon winds are connected to the regional Pacific Ocean–Andes flow.
This article is included in the Encyclopedia of Geosciences
Joel D. Barker, Susan Kaspari, Paolo Gabrielli, Anna Wegner, Emilie Beaudon, M. Roxana Sierra-Hernández, and Lonnie Thompson
Atmos. Chem. Phys., 21, 5615–5633, https://doi.org/10.5194/acp-21-5615-2021, https://doi.org/10.5194/acp-21-5615-2021, 2021
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Black carbon (BC), an aerosol that contributes to glacier melt, is important for central Himalayan hydrology because glaciers are a water source to rivers that affect 25 % of the global population in Southeast Asia. Using the Dasuopu ice core (1781–1992 CE), we find that drought-associated biomass burning is an important source of BC to the central Himalaya over a period of months to years and that hemispheric changes in atmospheric circulation influence BC deposition over longer periods.
This article is included in the Encyclopedia of Geosciences
Tobias R. Juhlke, Jürgen Sültenfuß, Katja Trachte, Frédéric Huneau, Emilie Garel, Sébastien Santoni, Johannes A. C. Barth, and Robert van Geldern
Atmos. Chem. Phys., 20, 3555–3568, https://doi.org/10.5194/acp-20-3555-2020, https://doi.org/10.5194/acp-20-3555-2020, 2020
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Tritium can serve as a useful tracer in the hydrological cycle; however, aspects of the distribution and exchange of tritium in the atmosphere are not completely understood. In particular, the movement of tritium from its natural origin in the upper atmosphere to its deposition onto the land surface by precipitation has to be quantified further. Therefore, this study collected precipitation event samples and used atmospheric models in order to improve knowledge regarding tritium dynamics.
This article is included in the Encyclopedia of Geosciences
Sibo Zhang, Catherine Meurey, and Jean-Christophe Calvet
Atmos. Chem. Phys., 19, 5005–5020, https://doi.org/10.5194/acp-19-5005-2019, https://doi.org/10.5194/acp-19-5005-2019, 2019
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In situ rain temperature measurements are rare. Soil moisture and soil temperature observations in southern France are used to assess the cooling effects on soils of rainfall events. The rainwater temperature is estimated using observed changes of topsoil volumetric soil moisture and soil temperature in response to the rainfall event. The obtained rain temperature estimates are generally lower than the ambient air temperatures, wet-bulb temperatures, and topsoil temperatures.
This article is included in the Encyclopedia of Geosciences
Timo Vihma, Petteri Uotila, Stein Sandven, Dmitry Pozdnyakov, Alexander Makshtas, Alexander Pelyasov, Roberta Pirazzini, Finn Danielsen, Sergey Chalov, Hanna K. Lappalainen, Vladimir Ivanov, Ivan Frolov, Anna Albin, Bin Cheng, Sergey Dobrolyubov, Viktor Arkhipkin, Stanislav Myslenkov, Tuukka Petäjä, and Markku Kulmala
Atmos. Chem. Phys., 19, 1941–1970, https://doi.org/10.5194/acp-19-1941-2019, https://doi.org/10.5194/acp-19-1941-2019, 2019
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The Arctic marine climate system, ecosystems, and socio-economic systems are changing rapidly. This calls for the establishment of a marine Arctic component of the Pan-Eurasian Experiment (MA-PEEX), for which we present a plan. The program will promote international collaboration; sustainable marine meteorological, sea ice, and oceanographic observations; advanced data management; and multidisciplinary research on the marine Arctic and its interaction with the Eurasian continent.
This article is included in the Encyclopedia of Geosciences
Vladimir Melnikov, Viktor Gennadinik, Markku Kulmala, Hanna K. Lappalainen, Tuukka Petäjä, and Sergej Zilitinkevich
Atmos. Chem. Phys., 18, 6535–6542, https://doi.org/10.5194/acp-18-6535-2018, https://doi.org/10.5194/acp-18-6535-2018, 2018
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The cryosphere of the Earth overlaps with the atmosphere, hydrosphere and lithosphere over vast areas with temperatures below zero C and pronounced H2O phase changes. The cryosphere plays the role of a global thermostat; however, the processes related to the cryosphere attract insufficient attention from research communities. We call attention to crucial importance of cryogenic anomalies, which make the Earth atmosphere and the entire Earth system unique.
This article is included in the Encyclopedia of Geosciences
Sebastian Landwehr, Scott D. Miller, Murray J. Smith, Thomas G. Bell, Eric S. Saltzman, and Brian Ward
Atmos. Chem. Phys., 18, 4297–4315, https://doi.org/10.5194/acp-18-4297-2018, https://doi.org/10.5194/acp-18-4297-2018, 2018
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The ocean takes up about 25 % of emitted anthropogenic emitted carbon dioxide and thus plays a significant role in the regulation of climate. In order to accurately calculate this uptake, a quantity known as the air–sea gas transfer velocity needs to be determined. This is typically parameterised with mean wind speed, the most commonly used velocity scale for calculating air–sea transfer coefficients. In this article, we propose an alternative velocity scale known as the friction velocity.
This article is included in the Encyclopedia of Geosciences
Chang-Eui Park, Su-Jong Jeong, Chang-Hoi Ho, Hoonyoung Park, Shilong Piao, Jinwon Kim, and Song Feng
Atmos. Chem. Phys., 17, 10467–10476, https://doi.org/10.5194/acp-17-10467-2017, https://doi.org/10.5194/acp-17-10467-2017, 2017
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In dry monsoon regions, a decrease in precipitation induces drying trends. In contrast, the increase in potential evapotranspiration due to increased atmospheric water-holding capacity, a secondary impact of warming, works to increase aridity over the humid monsoon regions despite the increase in precipitation. Our results explain the recent drying in the humid monsoon regions. This also supports the drying trends over the warm and water-sufficient regions in future climate.
This article is included in the Encyclopedia of Geosciences
Paolo Di Girolamo, Marco Cacciani, Donato Summa, Andrea Scoccione, Benedetto De Rosa, Andreas Behrendt, and Volker Wulfmeyer
Atmos. Chem. Phys., 17, 745–767, https://doi.org/10.5194/acp-17-745-2017, https://doi.org/10.5194/acp-17-745-2017, 2017
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This paper reports what we believe are the first measurements throughout the atmospheric convective boundary layer of higher-order moments (up to the fourth) of the turbulent fluctuations of water vapour mixing ratio and temperature performed by a single lidar system, i.e. the Raman lidar system BASIL. These measurements, in combination with measurements from other lidar systems, are fundamental to verify and possibly improve turbulence parametrisation in weather and climate models.
This article is included in the Encyclopedia of Geosciences
H. C. Steen-Larsen, A. E. Sveinbjörnsdottir, A. J. Peters, V. Masson-Delmotte, M. P. Guishard, G. Hsiao, J. Jouzel, D. Noone, J. K. Warren, and J. W. C. White
Atmos. Chem. Phys., 14, 7741–7756, https://doi.org/10.5194/acp-14-7741-2014, https://doi.org/10.5194/acp-14-7741-2014, 2014
H. C. Ward, J. G. Evans, and C. S. B. Grimmond
Atmos. Chem. Phys., 13, 4645–4666, https://doi.org/10.5194/acp-13-4645-2013, https://doi.org/10.5194/acp-13-4645-2013, 2013
A. M. Grannas, C. Bogdal, K. J. Hageman, C. Halsall, T. Harner, H. Hung, R. Kallenborn, P. Klán, J. Klánová, R. W. Macdonald, T. Meyer, and F. Wania
Atmos. Chem. Phys., 13, 3271–3305, https://doi.org/10.5194/acp-13-3271-2013, https://doi.org/10.5194/acp-13-3271-2013, 2013
J. L. France, M. D. King, M. M. Frey, J. Erbland, G. Picard, S. Preunkert, A. MacArthur, and J. Savarino
Atmos. Chem. Phys., 11, 9787–9801, https://doi.org/10.5194/acp-11-9787-2011, https://doi.org/10.5194/acp-11-9787-2011, 2011
F. Griessbaum, B. I. Moat, Y. Narita, M. J. Yelland, O. Klemm, and M. Uematsu
Atmos. Chem. Phys., 10, 5123–5133, https://doi.org/10.5194/acp-10-5123-2010, https://doi.org/10.5194/acp-10-5123-2010, 2010
Cited articles
Aagaard, K., Coachman, L. K., and Carmack, E.: On the halocline of the Arctic Ocean, Deep-Sea Research Part A, 28, 529–545, https://doi.org/10.1016/0198-0149(81)90115-1, 1981.
Aleksandrov, Y. I., Bryazgin, N. N., Førland, E. J., Radionov, V. F., and Svyashchennikov, P. N.: Seasonal, interannual and longterm variability of precipitation and snow depth in the region of the Barents and Kara seas. Polar Res., 24, 69–85, https://doi.org/10.1111/j.1751-8369.2005.tb00141.x, 2005.
Andreas, E. and Cash, B.: Convective heat transfer over wintertime leads and polynyas, J. Geophys. Res., 104, 25721–25734, 1999.
Andreas, E. L.: A relationship between the aerodynamic and physical roughness of winter sea ice, Q. J. Roy. Meteor. Soc., 137, 1581–1588, https://doi.org/10.1001/qj.842, 2011.
Andreas, E. L., Paulson, C. A., Williams, R. M., Lindsay, R. W., and Businger, J. A.: The turbulent heat flux from Arctic leads, Bound.-Layer Meteorol., 17, 57–91, 1979.
Andreas, E. L., Persson, P. O. G., Grachev, A. A., Jordan, R. E., Horst, T. W., Guest, P. S., and Fairall, C. W.: Parameterizing Turbulent Exchange over Sea Ice in Winter, J. Hydrometeorol., 11, 87–104, https://doi.org/10.1175/2009JHM1102.1, 2010a.
Andreas, E. L., Horst, T. W., Grachev, A. A., Persson, P. O. G., Fairall, C. W., Guest, P. S., and Jordan, R. E.: Parametrizing turbulent exchange over summer sea ice and the marginal ice zone, Q. J. Roy. Meteor. Soc., 138, 927–943, 2010b.
Aoki, T., Kuchiki, K., Niwano, M., Kodama, Y., Hosaka, M., and Tanaka, T.: Physically based snow albedo model for calculating broadband albedos and the solar heating profile in snowpack for general circulation models, J. Geophys. Res., 116, https://doi.org/10.1029/2010JD015507, 2011.
Armour, K. C., Eisenman, I., Blanchard-Wrigglesworth, E., McCusker, K. E., and Bitz, C. M.: The reversibility of sea ice loss in a state-of-the-art climate model, Geophys. Res. Lett., 38, L16705, https://doi.org/10.1029/2011GL048739, 2011.
Arnaud, L., Picard, G., Champollion, N., Domine, F., Gallet, J. C., Lefebvre, E., Fily, M., and Barnola, J. M.: Measurement of vertical profiles of snow specific surface area with a 1 cm resolution using infrared reflectance: instrument description and validation, J. Glaciol., 57, 17–29, 2011.
Aspelien, T., Iversen, T., Bremnes, J. B., and Frogner, I.-L.: Short-range probabilistic forecasts from the Norwegian limited-area EPS: long-term validation and a polar low study, Tellus A, 63, 564–584, 2011.
Atlaskin, E. and Vihma T.: Evaluation of NWP results for wintertime nocturnal boundary-layer temperatures over Europe and Finland, Q. J. Roy. Meteor. Soc., 138, 1440–1451, https://doi.org/10.1002/qj.1885, 2012.
Bailey, E., Feltham, D. L., and Sammonds, P. R.: A model for the consolidation of rafted sea ice, J. Geophys. Res., 115, C04015, https://doi.org/10.1029/2008JC005103, 2010.
Barrie, L. A.: Arctic air pollution: an overview of current knowledge, Atmos. Environ., 20, 643–663, 1986.
Barstad, I. and Adakudlu, M.: Observation and modelling of gap flow and wake formation on Svalbard, Q. J. Roy. Meteor. Soc., 137, 1731–1738, 2011.
Bauch, D., Rutgers van der Loeff, M., Andersen, N., Torres-Valdes, S., Bakker, K., and Povl Abrahamsen, E.: Origin of freshwater and polynya water in the Arctic Ocean halocline in summer 2007, Prog. Oceanogr., 91, 482–495, https://doi.org/10.1016/j.pocean.2011.07.017, 2011.
Beare, R. J.: Boundary layer mechanisms in extratropical cyclones, Q. J. Roy. Meteor. Soc., 133, 503–515, 2007.
Beesley, J. A., Bretherton, C. S., Jakob, C., Andreas, E. L, Intrieri, J. M., and Uttal, T. A.: A comparison of cloud and boundary layer variables in the ECMWF forecast model with observations at Surface Heat Budget of the Arctic Ocean (SHEBA) ice camp, J. Geophys. Res., 105, 12337–12349, 2000.
Bintanja, R., Graversen, R. G., and Hazeleger, W.: Arctic winter warming amplified by the thermal inversion and consequent low infrared cooling to space, Nature, 4, 758–761, https://doi.org/10.1038/ngeo1285, 2011.
Birch, C. E., Brooks, I. M., Tjernström, M., Milton, S. F., Earnshaw, P., Söderberg, S., and Persson, P. O. G.: The performance of a global and mesoscale model over the central Arctic Ocean during late summer, J. Geophys. Res., 114, D131104, https://doi.org/10.1029/2008JD010790, 2009.
Bitz, C. M., Gent, P. R., Woodgate, R. A., Holland, M. M., and Lindsay, R.: The Influence of Sea Ice on Ocean Heat Uptake in Response to Increasing CO2. J. Climate, 19, 2437–2450, https://doi.org/10.1175/JCLI3756.1, 2006.
Bitz, C. M., Ridley, J., Holland, M., and Cattle, H.: Global Climate Models and 20th and 21st Century Arctic Climate Change, in: Arctic Climate Change, edited by: Lemke, P., and Jacobi, H.-W.: Atmospheric and Oceanographic Sciences Library, Springer Netherlands, 405–436, 2012.
Blazey, B. A., Holland, M. M., and Hunke, E. C.: Arctic Ocean sea ice snow depth evaluation and bias sensitivity in CCSM, The Cryosphere, 7, 1887–1900, https://doi.org/10.5194/tc-7-1887-2013, 2013.
Boé, J., Hall, A., and Qu, X.: Current GCMs' Unrealistic Negative Feedback in the Arctic, J. Clim., 22, 4682–4695, https://doi.org/10.1175/2009jcli2885.1, 2009.
Boisvert, L., Markus, T., and Vihma, T.: Moisture flux changes and trends for the entire Arctic in 2003–2011 derived from EOS Aqua data. J. Geophys. Res., 118, 5829–5843, https://doi.org/10.1002/jgrc.20414, 2013.
Boisvert, L. N., Markus, T., Parkinson, C. L., and Vihma, T.: Moisture fluxes derived from EOS aqua satellite data for the North Water Polynya over 2003–2009, J. Geophys. Res., 117, D06119, https://doi.org/10.1029/2011JD016949, 2012.
Bourassa, M. A., Gille, S., Bitz, C., Carlson, D., Cerovecki, I., Cronin, M., Drennan, W., Fairall, C., Hoffman, R., Magnusdottir, G., Pinker, R., Renfrew, I., Serreze, M., Speer, K., Talley, L., and Wick, G.: High-Latitude Ocean and Sea Ice Surface Fluxes: Challenges for Climate Research. B. Am. Meteor. Soc., 94, 403–423, https://doi.org/10.1175/BAMS-D-11-00244.1, 2013.
Bourgain, P. and Gascard, J. C.: The Arctic Ocean halocline and its interannual variability from 1997 to 2008, Deep-Sea Res. I, 58, 745–756, 2011.
Bourgain, P. and Gascard, J. C.: The Atlantic and summer Pacific waters variability in the Arctic Ocean from 1997 to 2008, Geophys. Res. Lett., 39, L05603, https://doi.org/10.1029/2012GL051045, 2012.
Briegleb, B. P. and Light, B.: A Delta-Eddington Multiple Scattering Parameterization for Solar Radiation in the Sea Ice Component of the Community Climate System Model, NCAR Technical Note NCAR/TN-472 + STR, NCAR/TN-472+STR, National Center for Atmospheric Research, Boulder, CO, 2007.
Bromvich, D. H., Hines, K. M., and Bai, L.-S.: Development and testing of Polar Weather Research and Forecasting Model: 2. Arctic Ocean, J. Geophys. Res., 114, D08122, https://doi.org/10.1029/2008JD010300, 2009.
Brümmer, B. and Thiemann, S.: Arctic wintertime on-ice air flow. Bound.-Layer. Meteorol., 104, 53–72, 2002.
Brun, E., Yang, Z.-L., Essery, R., and Cohen, J.: Snow-cover parameterization and modeling, in Snow and Climate, in: Snow and Climate, edited by: Armstrong, R. L., and Brun, E., Cambridge University Press, Cambridge, UK, 125–180, 2008.
Brunke, M. A., Zhou, M., Zeng, X., and Andreas, E. L.: An intercomparison of bulk aerodynamic algorithms used over sea ice with data from the Surface Heat Budget for the Arctic Ocean (SHEBA) experiment, J. Geophys. Res., 111, C09001, https://doi.org/10.1029/2005JC002907, 2006.
Byrkjedal, Ø., Esau, I. N., and Kvamstø, N. G.: Sensitivity of simulated wintertime Arctic atmosphere to vertical resolution in the ARPEGE/IFS model, Clim. Dynam., 30, 687–701, https://doi.org/10.1007/s00382-007-0316-z, 2007.
Callaghan, T. V., Johansson, M. J., Key, J., Prowse, T., Ananicheva, M., and Klepikov, A.: Feedbacks and interactions: from the Arctic cryosphere to the climate system, Ambio, 40, 75–86, https://doi.org/10.1007/s13280-011-0215-8, 2012.
Calonne, N., Flin, F., Morin, S., Lesaffre, B., Rolland du Roscoat, S., and Geindreau, C.: Numerical and experimental investigations of the effective thermal conductivity of snow, Geophys. Res. Lett., 38, L23501, https://doi.org/10.1029/2011GL049234, 2011.
Cesana, G., Kay, J. E., Chepfer, H., English, J. M., and de Boer, G.: Ubiquitous low-level liquid-containing Arctic clouds: New observations and climate model constraints from CALIPSO-GOCCP, Geophys. Res. Lett., 39, L20804, https://doi.org/10.1029/2012GL053385, 2012.
Chechin, D. G., Lüpkes, C., Repina, I. A., and Gryanik, V. M.: Idealized dry quasi-2D mesoscale simulations of cold-air outbreaks over the marginal sea-ice zone with fine and coarse resolution, J. Geophys. Res., 118, 8787–8813, https://doi.org/10.1002/jgrd.50679, 2013.
Cheng, B., Vihma, T., Pirazzini, R., and Granskog, M.: Modeling of superimposed ice formation during spring snow-melt period in the Baltic Sea, Ann. Glaciol., 44, 139–146, 2006.
Cheng, B., Vihma, T., Zhang, Z., Li, Z., and Wu, H.: Snow and sea ice thermodynamics in the Arctic: Model validation and sensitivity study against SHEBA data, Chinese J. Polar Sci., 19, 108–122, 2008a.
Cheng, B., Zhang, Z., Vihma, T., Johansson, M., Bian, L., Li, Z., and Wu, H.: Model experiments on snow and ice thermodynamics in the Arctic Ocean with CHINARE2003 data, J. Geophys. Res., 113, C09020, https://doi.org/10.1029/2007JC004654, 2008b.
Cheng, B., Mäkynen, M., Similä, M., Rontu L., and Vihma, T.: Modelling snow and ice thickness in the coastal Kara Sea, Russian Arctic, Ann. Glaciol., 54, 105–113, https://doi.org/10.3189/2013AoG62A180, 2013.
Clarke, A. D. and Noone, K. J.: Soot in the arctic snowpack: A cause for perturbations in radiative transfer, Atmos. Environ., 19, 2045–2053, 1985.
Condron, A. and Renfrew, I. A.: The impact of polar mesoscale storms on northeast Atlantic Ocean circulation, Nature Geosci, 6, 34–37, https://doi.org/10.1038/ngeo1661, 2013.
Condron, A., Bigg, G. R., and Renfrew, I. A.: Modelling the impact of polar mesoscale cyclones on ocean circulation, J. Geophysical Res., 113, C10005, https://doi.org/10.1029/2007JC004599, 2008.
Cottier, F., Nilsen, F., Inall, M. E., Gerland, S., Tverberg, V., and Svendsen, H.: Wintertime warming of an Arctic shelf in response to large-scale atmospheric circulation, Geophys. Res. Lett., 34, L10607, https://doi.org/10.1029/2007GL029948, 2007.
Crook, J. A., Forster, P. M., and Stuber, N.: Spatial patterns of modeled climate feedback and contributions to temperature response and polar amplification, J. Clim. 24, 3575–3592, 2011.
Curry, J. A.: Interactions among Turbulence, Radiation and Microphysics in Arctic Stratus Clouds, J. Atmos. Sci., 43, 90–106, 1986.
Curry, J. A., Rossow, W. B., Randall, D., and Schramm, J. L.: Overview of Arctic Cloud and Radiation Characteristics, J. Clim., 9, 1731–1764, 1996.
Cuxart J., Holtslag, A. A. M., Beare, R., Beljaars, A., Cheng, A., Conangla, L., Ek, M., Freedman, F., Hamdi, R., Kerstein, A., Kitagawa, H., Lenderik, G., Lewellen. D., Mailhot, J., Mauritsen, T., Perov, V., Schayes, G., Steeneveld, G.-J., Svensson, G., Taylor, P., Wunsch, S., Weng, W., and Xu, K.-M.: Single-column intercomparison for a stably stratified atmospheric boundary layer, Bound. Layer Meteorol., 118, 273–303, 2006.
Dadic, R., Schneebeli, M., Lehning, M., Hutterli, M. A., and Ohmura, A.: Impact of the microstructure of snow on its temperature: A model validation with measurements from Summit, Greenland, J. Geophys. Res., 113, D14303, https://doi.org/10.1029/2007JD009562, 2008.
de Boer, G., Eloranta, E., and Shupe, M. D.: Arctic Mixed-Phase Stratiform Cloud Properties from Multiple Years of Surface-Based Measurements at Two High-Latitude Locations, J. Atmos. Sci., 66, 2874–2887, https://doi.org/10.1175/2009JAS3029.1, 2009.
de Boer, G., Morrison, H., Shupe, M. D., and Hildner, R.: Evidence of liquid dependent ice nucleation in high-latitude stratiform clouds from surface remote sensors, Geophys. Res. Lett., 38, L01803, https://doi.org/10.1029/2010GL046016, 2011.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J. J., Park, B. K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J. N., and Vitart, F.: The ERA-Interim reanalysis: configuration and performance of the data assimilation system, Q. J. Roy. Meteor. Soc., 137, 553–597, 2011.
Devasthale, A., Willen, U., Karlsson, G. K., and Jones, C. G.: Quantifying the clear-sky temperature inversion frequency and strength over the Arctic Ocean during summer and winter seasons from AIRS profiles, Atmos. Chem. Phys., 10, 5565–5572, https://doi.org/10.5194/acp-10-5565-2010, 2010.
Devasthale, A., Sedlar, J., and Tjernström, M.: Characteristics of water-vapour inversions observed over the Arctic by Atmospheric Infrared Sounder (AIRS) and radiosondes, Atmos. Chem. Phys., 11, 9813–9823, https://doi.org/10.5194/acp-11-9813-2011, 2011.
Deser, C., Tomas, R., Alexander, M., and Lawrence, D.: The seasonal atmospheric response to projected Arctic sea ice loss in the late twenty-first century, J. Climate, 23, 333–351, 2010.
Dickinson, R. E., Henderson-Sellers, A., and Kennedy, P. J.: Biosphere-Atmosphere Transfer Scheme (BATS) Version le as Coupled to the NCAR Community Climate Model, NCAR Technical Note NCAR/TN-387+STR, NCAR/TN-387+STR, National Center for Atmospheric Research, Boulder, CO, 1993.
Dmitrenko, I. A., Polyakov, I. V., Kirillov, S. A., Timokhov, L. A., Frolov, I. E., Sokolov, V. T., Simmons, H. L., Ivanov, V. V., and Walsh, D.: Toward a warmer Arctic Ocean: Spreading of the early 21st century Atlantic Water warm anomaly along the Eurasian Basin margins, J. Geophys. Res., 113, C05023, https://doi.org/10.1029/2007JC004158, 2008.
Doble, M. J., Forrest, A. L., Wadhams, P., and Laval, B. E.: Through-ice AUV deployment: Operational and technical experience from two seasons of Arctic fieldwork. Cold Reg. Sci. Technol., 56, 90–97. https://doi.org/10.1016/j.coldregions.2008.11.006, 2009.
Doherty, S. J., Warren, S. G., Grenfell, T. C., Clarke, A. D., and Brandt, R. E.: Light-absorbing impurities in Arctic snow, Atmos. Chem. Phys., 10, 11647–11680, https://doi.org/10.5194/acp-10-11647-2010, 2010.
Dokken, T. and Jansen, E.: Rapid changes in the mechanism of ocean convection during the last glacial period, Nature, 401, 458–461, 1999.
Dominé, F., Bock, J., Morin, S., and Giraud, G.: Linking the effective thermal conductivity of snow to its shear strength and density, J. Geophys. Res., 116, F04027, https://doi.org/10.1029/2011JF002000, 2011.
Dorn, W., Dethloff, K., Rinke, A., Frickenhaus, S., Gerdes, R., Karcher, M., and Kauker, F.: Sensitivities and uncertainties in a coupled regional atmosphere-ocean-ice model with respect to the simulation of Arctic sea ice, J. Geophys. Res., 112, D10118, https://doi.org/10.1029/2006jd007814, 2007.
Dorn, W., Dethloff, K., and Rinke, A.: Improved simulation of feedbacks between atmosphere and sea ice over the Arctic Ocean in a coupled regional climate model, Ocean Modelling, 29, 103–114, https://doi.org/10.1016/j.ocemod.2009.03.010, 2009.
Döscher, R., Vihma, T., and Maksimovich, E.: Recent Advances in understanding the Arctic Climate System State and Change from a Sea Ice Perspective: a Review, Atmos. Chem. Phys. Discuss., 14, 10929–10999, https://doi.org/10.5194/acpd-14-10929-2014, 2014.
Dudko, Y. V., Schmidt, H., von der Heydt, K., and Scheer, E. K.: Edge wave observation using remote seismoacoustic sensing of ice events in the Arctic, J. Geophys. Res., 103, 21775–21781, 1998.
Dutra, E., Viterbo, P., Miranda, P. M. A., and Balsamo, G.: Complexity of Snow Schemes in a Climate Model and Its Impact on Surface Energy and Hydrology, J. Hydrometeorol., 13, 521–538, https://doi.org/10.1175/jhm-d-11-072.1, 2012.
Eastman, R. and Warren, S. G.: Interannual Variations of Arctic Cloud Types in Relation to Sea Ice, J. Clim., 23, 4216–4232, https://doi.org/10.1175/2010jcli3492.1, 2010.
Ebner, L., Schröder, D., and Heinemann, G.: Impact of Laptev Sea flaw polynyas on the atmospheric boundary layer and ice production using idealized mesoscale simulations, Polar Res., 30, 7210, https://doi.org/10.3402/polar.v30i0.7210, 2011.
ECMWF, IFS documentation CY38r1,(last access date: 29 August 2014), 2012.
Ehn, J. K., Mundy, C. J., and Barber, D. G.: Bio-optical and structural properties inferred from irradiance measurements within the bottommost layers in an Arctic landfast sea ice cover, J. Geophys. Res., 113, C09024, https://doi.org/10.1029/2007jc004194, 2008a.
Ehn, J. K., Papakyriakou, T. N., and Barber, D. G.: Inference of optical properties from radiation profiles within melting landfast sea ice, J. Geophys. Res., 113, C03S03, doi10.1029/2007jc004656, 2008b.
Ehn, J. K., Mundy, C. J., Barber, D. G., Hop, H., Rossnagel, A., and Stewart, J.: Impact of horizontal spreading on light propagation in melt pond covered seasonal sea ice in the Canadian Arctic, J. Geophys. Res., 116, C00G02, https://doi.org/10.1029/2010jc006908, 2011.
Eisenman, I. and Wettlaufer, J. S.: Nonlinear threshold behavior during the loss of Arctic sea ice, Proc. Nat. Acad. Sci., 106, 28–32, https://doi.org/10.1073/pnas.0806887106, 2009.
Esau, I. and Zilitinkevich, S.: On the role of the planetary boundary layer depth in climate system, Adv. Sci. Res., 4, 63–69, 2010.
Esau, I., Davy, R., and Outten, S.: Complementary explanation of temperature response in the lower atmosphere. Environ. Res. Lett., 7, 044026, https://doi.org/10.1088/1748-9326/7/4/044026, 2012.
Esau, I. N.: Amplification of turbulent exchange over wide Arctic leads: large-eddy simulation study, J. Geophys. Res., 112, D08109, https://doi.org/10.1029/2006JD007225, 2007.
Essery, R., Morin, S., Lejeune, Y., and B Ménard, C.: A comparison of 1701 snow models using observations from an alpine site, Adv. Water Res., 55, 131–148, https://doi.org/10.1016/j.advwatres.2012.07.013, 2012.
Feltham, D. L., Untersteiner, N., Wettlaufer, J. S., and Worster, M. G.: Sea ice is a mushy layer, Geophys. Res. Lett., 33, L14501, https://doi.org/10.1029/2006GL026290, 2006.
Fer, I.: Weak vertical diffusion allows maintenance of cold halocline in the central Arctic, Atmos. Ocean. Sci. Lett., 2, 148–152, 2009.
Fer, I.: Near-inertia-l mixing in the central Arctic Ocean, J. Phys. Oceanogr., 44, 2031-2049, https://doi.org/10.1175/JPO-D-13-0133.1, 2014.
Fer, I. and Sundfjord, A.: Observations of upper ocean boundary layer dynamics in the marginal ice zone, J. Geophys. Res., 112, C04012, https://doi.org/10.1029/2005jc003428, 2007.
Fer, I., Skogseth, R., and Geyer, F.: Internal waves and mixing in the Marginal Ice Zone near the Yermak Plateau, J. Phys. Oceanogr., 40, 1613–1630, 2010.
Fer, I., Peterson, A. K., and Ullgren, J. E.: Microstructure measurements from an underwater glider in the turbulent Faroe Bank Channel overflow, J. Atmos. Ocean. Tech., 31, 1128–1150, 2014.
Fiedler, E. K., Lachlan-Cope, T. A., Renfrew, I. A., and King, J. C.: Convective heat transfer over thin ice covered coastal polynyas, J. Geophys. Res., 115, C10051, https://doi.org/10.1029/2009JC005797, 2010.
Flanner, M. G.: Arctic climate sensitivity to local black carbon, J. Geophys. Res., 118, 1840–1851, https://doi.org/10.1002/jgrd.50176, 2013.
Flanner, M. G. and Zender, C. S.: Linking snowpack microphysics and albedo evolution, J. Geophys. Res., 111, D12208, https://doi.org/10.1029/2005JD006834, 2006.
Flanner, M. G., Zender, C. S., Randerson, J. T., and Rasch, P. J.: Present-day climate forcing and response from black carbon in snow, J. Geophys. Res., 112, https://doi.org/10.1029/2006jd008003, 2007.
Flanner, M. G., Zender, C. S., Hess, P. G., Mahowald, N. M., Painter, T. H., Ramanathan, V., and Rasch, P. J.: Springtime warming and reduced snow cover from carbonaceous particles, Atmos. Chem. Phys., 9, 2481–2497, https://doi.org/10.5194/acp-9-2481-2009, 2009.
Flanner, M. G., Shell, K. M., Barlage, M., Perovich, D. K., and Tschudi, M. A.: Radiative forcing and albedo feedback from the Northern Hemisphere cryosphere between 1979 and 2008, Nature Geosci, 4, 151–155, http://www.nature.com/ngeo/journal/v4/n3/abs/ngeo1062.html#supplementary-information (last access: 29 August 2014), 2011.
Flocco, D. and Feltham, D. L.: A continuum model of melt pond evolution on Arctic sea ice, J. Geophys. Res., 112, C08016, https://doi.org/10.1029/2006JC003836, 2007.
Flocco, D., Felthman, D. L., and Turner, A. K.: Incorporation of a physically based melt pond scheme into the sea ice component of a climate model, J. Geophys. Res., 115, C08012, https://doi.org/10.1029/2009JC005568, 2010.
Flocco, D., Schröder, D., Feltham, D. L., and Hunke, E. C.: Impact of melt ponds on Arctic sea ice simulations from 1990 to 2007, J. Geophys. Res., 117, C09032, oi:10.1029/2012JC008195, 2012.
Føre, I. and Nordeng, T. E.: A polar low observed over the Norwegian Sea on 3–4 March 2008: high-resolution numerical experiments, Q. J. Roy. Meteor. Soc., 138, 1983–1998, 2012.
Føre, I., Kristjánsson, J. E., Saetra, Ø, Breivik, Ø., Røsting, B., and Shapiro, M.: The full life cycle of a polar low over the Norwegian Sea observed by three research aircraft flights, Q. J. Roy. Meteor. Soc., 137, 1659–1673, 2011.
Forsström, S., Ström, J., Pedersen, C. A., Isaksson, E., and Gerland, S.: Elemental carbon distribution in Svalbard snow, J. Geophys. Res., 114, D19112, https://doi.org/10.1029/2008JD011480, 2009.
Forsström, S., Isaksson, E., Skeie, R. B., Ström, J., Pedersen, C. A., Hudson, S. R., Berntsen, T. K., Lihavainen, H., Godtliebsen, F., and Gerland, S.: Elemental carbon measurements in European Arctic snow packs, J. Geophys. Res., 118, 13614–13627, https://doi.org/10.1002/2013JD019886, 2013.
Forster, P., Ramaswamy, V., Artaxo, P., Berntsen, T., Betts, R., Fahey, D. W., Haywood, J., Lean, J., Lowe, D. C., Myhre, G., Nganga, J., Prinn, R., Raga, G., Schulz, M., and Van Dorland, R.: Changes in Atmospheric Constituents and in Radiative Forcing, in: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., Tignor, M., and Miller, H. L., Cambridge University Press, Cambridge, UK, and New York, USA, 2007.
Fox-Kemper, B., Danabasoglu, G., Ferrari, R., Griffies, S. M., Hallberg, R. W., Holland, M. M., Maltrud, M. E., Peacock, S., and Samuels, B. L.: Parameterization of mixed layer eddies. III: Implementation and impact in global ocean climate simulations, Ocean Modell., 39, 61–78, 2011.
Francis, J. A., Chan, W., Leathers, D. J., Miller, J. R., and Veron, D. E.: Winter Northern Hemisphere weather patterns remember summer Arctic sea-ice extent, Geophys. Res. Lett., 36, L07503, https://doi.org/10.1029/2009GL037274, 2009.
Frey, K. E., Perovich, D. K., and Light, B.: The spatial distribution of solar radiation under a melting Arctic sea ice cover, Geophys. Res. Lett., 38, L22501, https://doi.org/10.1029/2011GL049421, 2011.
Fridlind, A. M., Van Diederhoven, B., Ackerman, A. S., Avramov, A., Mrowiec, A., Morrison, H., Zuidema, P., and Shupe, M. D., A FIRE-ACE/SHEBA Case Study of Mixed-Phase Arctic Boundary Layer Clouds: Entrainment Rate Limitations on Rapid Primary Ice Nucleation Processes, J. Atmos. Sci., 69, 365–389, https://doi.org/10.1175/JAS-D-11-052.1, 2012.
Gallet, J.-C, Domine, F., Zender, C. S., and Picard, G.: Measurement of the specific surface area of snow using infrared reflectance in an integrating sphere at 1310 and 1550 nm, The Cryosphere, 3, 167–182, https://doi.org/10.5194/tc-3-167-2009, 2009.
Galperin, B., Sukoriansky, S., and Anderson, P. S.: On the critical Richardson number in stably stratified turbulence. Atmosph. Sci. Lett., 8, 65–69, https://doi.org/10.1002/asl.153, 2007.
Gardner, A. S. and Sharp, M. J.: A review of snow and ice albedo and the development of a new physically based broadband albedo parameterization, J. Geophys. Res., 115, F01009, https://doi.org/10.1029/2009jf001444, 2010.
Garrett, T. J. and Zhao, C.: Increased Arctic cloud longwave emissivity associated with pollution from mid-latitudes, Nature, 440, 787–789, https://doi.org/10.1038/nature04636, 2006.
Gascard, J.-C., Watson, A. J., Messias, M.-J., Olsson, K. A., Johannessen, T., and Simonsen, K.: Long-lived vortices as a mode of deep ventilation in the Greenland Sea, Nature, 416, 525–527, 2002.
Gascard, J. C., Festy, J., le Gogg, H., Weber, M., Bruemmer, B., Offermann, M., Doble, M., Wadhams, P., Forsberg, R., Hanson, S., Skourup, H., Gerland, S., Nicolaus, M., Metaxin, J. P., Grangeon, J., Haapala, J., Rinne, E., Haas, C., Heygster, G., Jakobson, E., Palo, T., Wilkinson, J., Kaleschke, L., Claffey, K., Elder, B., and Bottenheim, J.: Exploring Arctic Transpolar Drift During Dramatic Sea Ice Retreat, EOS Trans., 89, 21–28, 2008.
Gent, P. R., Danabasoglu, G., Donner, L. J., Holland, M. M., Hunke, E. C., Jayne, S. R., Lawrence, D. M., Neale, R. B., Rasch, P. J., Vertenstein, M., Worley, P. H., Yang, Z.-L., and Zhang, M.: The Community Climate System Model Version 4, J. Clim., 24, 4973–4991, https://doi.org/10.1175/2011jcli4083.1, 2011.
Gimbert, F., Marsan, D., Weiss, J., Jourdain, N. C. and Barnier, B.: Sea ice inertial oscillations in the Arctic Basin, The Cryosphere, 6, 1187-1201, 2012a.
Gimbert, F., Jourdain, N. C., Marsan, D., Weiss, J., and Barnier, B.: Recent mechanical weakening of the Arctic sea ice cover as revealed from larger inertial oscillations, J. Geophys. Res., 117, C00J12, 2012b.
Goldenson, N., Doherty, S. J., Bitz, C. M., Holland, M. M., Light, B., and Conley, A. J.: Arctic climate response to forcing from light-absorbing particles in snow and sea ice in CESM, Atmos. Chem. Phys., 12, 7903–7920, https://doi.org/10.5194/acp-12-7903-2012, 2012.
Goosse, H., Arzel, O., Bitz, C. M., de Montety, A., and Vancoppenolle, M.: Increased variability of the Arctic summer ice extent in a warmer climate, Geophys. Res. Lett., 36, https://doi.org/10.1029/2009gl040546, 2009.
Gorodetskaya, I. V., Tremblay, L. B., Liepert, B., Cane, M. A., and Cullather, R. I.: The influence of cloud and surface properties on the Arctic Ocean shortwave radiation budget in coupled models, J. Climate, 21, 866–882, 2008.
Grachev, A. A., Andreas, E. L., Fairall, C. W., Guest, P. S., and Persson, P. O. G.: SHEBA flux-profile relationships in the stable atmospheric boundary layer, Bound.-Layer Meteorol., 124, 315–333, 2007a.
Grachev, A. A., Andreas, E. L., Fairall, C. W., Guest, P. S., and Persson, P. O. G.: On the turbulent Prandtl number in the stable atmospheric boundary layer, Bound.-Layer Meteorol., 125, 329–341, 2007b.
Grachev, A. A., Andreas, E. L., Fairall, C. W., Guest, P. S., and Persson, P. O. G.: Outlier problem in evaluating similarity functions in the stable atmospheric boundary layer, Bound.-Layer Meteorol., 144, 137–155, 2012.
Graversen, R. G. and Wang, M.: Polar amplification in a coupled climate model with locked albedo, Clim. Dynam., 33, 629–643, https://doi.org/10.1007/s00382-009-0535-6, 2009.
Graversen, R. G., Mauritsen, T., Tjernström, M., Källen, E., and Svensson, G.: Vertical structure of recent Arctic warming, Nature, 451, 53–56, https://doi.org/10.1038/nature06502, 2008.
Graversen, R. G., Mauritsen, T., Drijfhout, S., Tjernström, M., and Mårtensson, S.: Warm winds from the Pacific caused extensive Arctic sea-ice melt in summer 2007, Clim. Dynam., 36, 2103–2112, https://doi.org/10.1007/s00382-010-0809-z, 2011.
Griewank, P. J. and Notz, D.: Insights into brine dynamics and sea ice desalination from a 1-D model study of gravity drainage, J. Geophys. Res. Oceans, 118, 3370–3386, https://doi.org/10.1002/jgrc.20247, 2013.
Gryschka, M., Drüe, C., Etling, D., Raasch, S.: On the influence of sea-ice inhomogeneities onto roll convection in cold-air outbreaks, Geophys. Res. Lett., 35, L23804, https://doi.org/10.1029/2008GL035845, 2008.
Guthrie, J., Morison, J., and Fer, I.: Revisiting Internal Waves and Mixing in the Arctic Ocean, J. Geophys. Res., 118, 3966–3977, https://doi.org/10.1002/jgrc.20294, 2013.
Haas, C., Le Goff, H., Audrain, S., Perovich, D., and Haapala, J.: Comparison of seasonal sea-ice thickness change in the Transpolar Drift observed by local ice mass-balance observations and floe-scale EM surveys, Ann. Glaciol., 52, 97–102, 2011.
Hadley, O. L. and Kirchstetter, T. W.: Black-carbon reduction of snow albedo, Nature Climate Change, 2, 437–440, https://doi.org/10.1038/nclimate143310.1038/NCLIMATE1433, 2012.
Haine, T. W. N., Zhang, S., Moore, G. W. K., and Renfrew, I. A.: On the impact of high-resolution, high frequency meteorological forcing on Denmark-Strait ocean circulation, Q. J. Roy. Meteor. Soc., 135, 2067–2085, 2009.
Hakkinen, S., Proshutinsky, A., and Ashik, I.: Sea ice drift in the Arctic since the 1950s, Geophys. Res. Lett., 35, L19704, https://doi.org/10.1029/2008GL034791, 2008.
Hansen, J., Sato, M., Ruedy, R., Nazarenko, L., Lacis, A., Schmidt, G. A., Russell, G., Aleinov, I., Bauer, M., Bauer, S., Bell, N., Cairns, B., Canuto, V., Chandler, M., Cheng, Y., Del Genio, A., Faluvegi, G., Fleming, E., Friend, A., Hall, T., Jackman, C., Kelley, M., Kiang, N., Koch, D., Lean, J., Lerner, J., Lo, K., Menon, S., Miller, R., Minnis, P., Novakov, T., Oinas, V., Perlwitz, J., Perlwitz, J., Rind, D., Romanou, A., Shindell, D., Stone, P., Sun, S., Tausnev, N., Thresher, D., Wielicki, B., Wong, T., Yao, M., and Zhang, S.: Efficacy of climate forcings, J. Geophys. Res., 110, D18104, https://doi.org/10.1029/2005jd005776, 2005.
Harden, B. E. and Renfrew, I. A.: On the spatial distribution of high winds off southeast Greenland, Geophys. Res. Lett., 39, L14806, https://doi.org/10.1029/2012GL052245, 2012.
Harden, B. E., Renfrew, I. A., and Petersen, G. N.: A climatology of wintertime barrier winds off southeast Greenland, J. Clim., 24, 4701–4717, 2011.
Harpaintner J., Gascard, J.-C., and Haugan, P.: Ice production and brine formation in Storfjorden, Svalbard, J. Geophys. Res., 106, 14001–14013, 2001.
Harrington, J. Y., Reisin, T., Cotton, W. R., and Kreidenweis, S. M.: Cloud resolving simulations of Arctic stratus. Part II: Transition-season clouds, Atmos. Res., 45–75, 1999.
Hawkins, E. and Sutton, R.: The potential to narrow uncertainty in regional climate predictions, B. Am. Meteor. Soc., 90, 1095, https://doi.org/10.1175/2009BAMS2607.1, 2009.
Hebbinghaus, H., Schlünzen, H., and Dierer, S.: Sensitivity studies on vortex development over a polynyas, Theor. Appl. Climatol., 88, 1–16, https://doi.org/10.1007/s00704-006-0233-9, 2006.
Heinemann, G.: The polar regions: a natural laboratory for boundary layer meteorology – a review, Meteorol. Zeitschr., 17, 589–601, 2008.
Heygster, G., Alexandrov, V., Dybkjær, G., von Hoyningen-Huene, W., Girard-Ardhuin, F., Katsev, I. L., Kokhanovsky, A., Lavergne, T., Malinka, A. V., Melsheimer, C., Toudal Pedersen, L., Prikhach, A. S., Saldo, R., Tonboe, R., Wiebe, H., and Zege, E. P.: Remote sensing of sea ice: advances during the DAMOCLES project, The Cryosphere, 6, 1411–1434, https://doi.org/10.5194/tc-6-1411-2012, 2012.
Hines, K. M. and Bromwich, D. H.: Development and Testing of Polar WRF. Part I. Greenland Ice Sheet Meteorology, Mon. Weather Rev., 136, 1971–1989, https://doi.org/10.1175/2007MWR2112.1, 2008.
Holland, M. M., Bailey, D. A., Briegleb, B. P., Light, B., and Hunke, E.: Improved Sea Ice Shortwave Radiation Physics in CCSM4: The Impact of Melt Ponds and Aerosols on Arctic Sea Ice, J. Clim., 25, 1413–1430, https://doi.org/10.1175/jcli-d-11-00078.1, 2012.
Holloway, G. and Proshutinsky, A.: Role of tides in Arctic ocean/ice climate, J. Geophys. Res., 112, C04S06, https://doi.org/10.1029/2006JC003643, 2007.
Hudson, S. R.: Estimating the global radiative impact of the sea ice–albedo feedback in the Arctic, J. Geophys. Res., 116, D16102, https://doi.org/10.1029/2011jd015804, 2011.
Hudson, S. R., Granskog, M. A., Karlsen, T. I., and Fossan, K.: An integrated platform for observing the radiation budget of sea ice at different spatial scales, Cold Reg. Sci. Technol., 82, 14–20, https://doi.org/10.1016/j.coldregions.2012.05.002, 2012.
Hudson, S. R., Granskog, M. A., Sundfjord, A., Randelhoff, A., Renner, A. H. H., and Divine, D. V.: Energy budget of first-year Arctic sea ice in advanced stages of melt, Geophys. Res. Lett., 40, 2679–2683, https://doi.org/10.1002/grl.50517, 2013.
Hunke, E. C. and Lipscomb, W. H.: CICE: the Los Alamos Sea Ice Model Documentation and Software User's Manual Version 4.1, Los Alamos National Laboratory, Los Alamos, NM, 1–115, 2010.
Hunke, E. C., Notz, D., Turner, A. K., and Vancoppenolle, M.: The multiphase physics of sea ice: a review for model developers, The Cryosphere, 5, 989–1009, https://doi.org/10.5194/tc-5-989-2011, 2011.
Inoue, J., Curry, J. A., and Maslanik, J. A.: Application of Aerosondes to melt-pond observations over Arctic sea ice, J. Atmos. Ocean. Technol., 25, 327–334, https://doi.org/10.1175/2007JTECHA955.1, 2008.
Inoue, J., Enomoto, T., Miyoshi, T., and Yamane S.: Impact of observations from Arctic drifting buoys on the reanalysis of surface fields, Geophys. Res. Lett., 36, L08501, https://doi.org/10.1029/2009GL037380, 2009.
Intrieri, J. M., Shupe, M. D., Uttal, T., and McCarty, B. J.: An annual cycle of Arctic cloud characteristics observed by radar and lidar at SHEBA, J. Geophys. Res., 107, 8030, https://doi.org/10.1029/2000JC000423, 2002.
IPCC: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., Tignor, M., and Miller, H. L., Cambridge University Press, Cambridge, UK, and New York, USA, 996 pp., 2007.
Irvine, E. A., Gray, S. L., and Methven, J.: Targeted observations of a polar low in the Norwegian Sea, Q. J. Roy. Meteor. Soc., 137, 1688–1699, 2011.
Itoh, M., Inoue, J., Shimada, K., Zimmermann, S., Kikuchi, T., Hutchings, J., McLaughlin, F., and Carmack, E.: Acceleration of sea-ice melting due to transmission of solar radiation through ponded ice area in the Arctic Ocean: results of in situ observations from icebreakers in 2006 and 2007, Ann. Glaciol., 52, 249–260, 2011.
Jaiser, R., Dethloff, K., Handorf, D., Rinke, A., and Cohen, J.: Impact of sea ice cover changes on the Northern Hemisphere atmospheric winter circulation, Tellus A., 64, 11595, https://doi.org/10.3402/tellusaV64i0.11595, 2012.
Jakobson, E., Vihma, T., Palo, T., Jakobson, L., Keernik, H., and Jaagus, J.: Validation of atmospheric reanalyzes over the central Arctic Ocean, Geophys. Res. Lett. 39, L10802, https://doi.org/10.1029/2012GL051591, 2012.
Jakobson, L., Vihma, T., Jakobson, E., Palo, T., Männik, A., and Jaagus, J.: Low-level jet characteristics over the Arctic Ocean in spring and summer. Atmos. Chem. Phys., 13, 11089–11099, https://doi.org/10.5194/acp-13-11089-2013, 2013.
Jung, T. and Leutbecher, M.: Performance of the ECMWF forecasting system in the Arctic during winter, Q. J. Roy. Meteor. Soc., 133, 1327–1340, 2007.
Kaempfer, T. U., Hopkins, M. A., and Perovich, D. K.: A three-dimensional microstructure-based photon-tracking model of radiative transfer in snow, J. Geophys. Res., 112, D24113, https://doi.org/10.1029/2006JD008239, 2007.
Kagan, B. A., Sofina, E. V., and Timofeev, A. A.: Modeling of the M2 surface and internal tides and their seasonal variability in the Arctic Ocean: Dynamics, energetics and tidally induced diapycnal diffusion, J. Mar. Res., 69, 245–276, 2011.
Kahl, J. D.: Characteristics of the low-level temperature inversion along the Alaskan Arctic coast, Int. J. Climatol., 10, 537–548, 1990.
Kapsch, M.-L., Graversen, R. G., and Tjernström, M.: Springtime atmospheric energy transport and the control of Arctic summer sea-ice extent, Nature Climate Change, 3, 744–748, https://doi.org/10.1038/nclimate1884, 2013.
Karlsson, J. and Svensson, G.: The simulation of Arctic clouds and their influence on the winter surface temperature in present-day climate in the CMIP3 multi-model dataset, Clim. Dynam., 36, 623–635, https://doi.org/10.1007/s00382-010-0758-6, 2011.
Kay, J. E. and Gettelman, A.: Cloud influence on and response to seasonal Arctic sea ice loss, J. Geophys. Res., 114, D18204, https://doi.org/10.1029/2009jd011773, 2009.
Kay, J. E., Raeder, K., Gettelman, A., and Anderson, J: The boundary layer response to recent Arctic sea ice loss and implications for high-latitude climate feedbacks, J. Climate, 24, 428–447, https://doi.org/10.1175/2010JCLI3651.1, 2011.
Kelley, D. E., Fernando, H. J. S., Gargett, A. E., Tanny, J., and Ozsoy, E.: The diffusive regime of double diffusive convection, Prog. Oceanogr., 56, 461–481, 2003.
Kilpeläinen, T. and Sjöblom, A.: Momentum and sensible heat exchange in an ice-free Arctic fjord. Bound.-Layer Meterol., 134, 109–130, https://doi.org/10.1007/s10546-009-9435-x, 2010.
Kilpeläinen, T., Vihma, T., and Olafsson, H.: Modelling of spatial variability and topographic effects over Arctic fjords in Svalbard, Tellus, 63A, 223–237, https://doi.org/10.1111/j.1600-0870.2010.00481.x, 2011.
Kilpeläinen, T., Vihma, T., Manninen, M., Sjöblom, A., Jakobson, E., Palo, T., and Maturilli, M.: Modelling the vertical structure of the atmospheric boundary layer over Arctic fjords in Svalbard, Q. J. Roy. Meteor. Soc., 138, 1867–1883, https://doi.org/10.1002/qj.1914, 2012.
Koch, D., Menon, S., Del Genio, A., Ruedy, R., Alienov, I., and Schmidt, G. A.: Distinguishing Aerosol Impacts on Climate over the Past Century, J. Clim., 22, 2659–2677, 2009.
Koch, D., Bauer, S. E., Del Genio, A., Faluvegi, G., McConnell, J. R., Menon, S., Miller, R. L., Rind, D., Ruedy, R., Schmidt, G. A., and Shindell, D.: Coupled Aerosol-Chemistry-Climate Twentieth-Century Transient Model Investigation: Trends in Short-Lived Species and Climate Responses, J. Clim., 24, 2693–2714, 2011.
Kolstad, E. W. and Bracegirdle, T. J.: Marine cold-air outbreaks in the future: an assessment of IPCC AR4 model results for the Northern Hemisphere, Clim. Dynam., 30, 871–885, 2008.
Kolstad, E. W., Bracegirdle, T. J., and Seierstad, I. A.: Marine cold-air outbreaks in the North Atlantic: Temporal distribution and associations with large-scale atmospheric circulation, Clim. Dynam., 33, 187–197, 2009.
Køltzow, M.: The effect of a new snow and sea ice albedo scheme on regional climate model simulations, J. Geophys. Res., 112, D07110, https://doi.org/10.1029/2006jd007693, 2007.
Kral, S. T., Sj\"blom, A., and Nygård, T.: Observations of summer turbulent surface fluxes in a High Arctic fjord. Q.J.Roy. Meteorol. Soc., 140, 666–675, https://doi.org/10.1002/qj.2167, 2014.
Krasnopolsky, V. M., Fox-Rabinovitz, M. S., and Belochitski, A. A.: Using ensemble of neural networks to learn stochastic convection parameterizations for climate and numerical weather prediction models from data simulated by a cloud resolving model, Adv. Artif. Neural Syst., 485913, 13 pp., https://doi.org/10.1155/2013/485913, 2013.
Kristiansen, J., Sørland, S. L., Iversen, T., Bjørge, D., and Køltzow, M. Ø.: High-resolution ensemble prediction of a polar low development, Tellus A, 63, 585–604, 2011.
Kristjansson, J. E., Barstad, I., Aspelien, T., Føre, I., Godøy, Ø. A., Hov, Ø., Irvine, E., Iversen,T., Kolstad, E. W., Nordeng, T. E., McInnes, H., Randriamampianina, R., Reuder, J., Sætra, Ø., Shapiro, M. A., Spengler, T., and Ólafsson, H.: The Norwegian IPY-THORPEX. Polar Lows and Arctic Fronts during the 2008 Andøya Campaign, Bull. Amer. Meteor. Soc., 92 1443–1466, https://doi.org/10.1175/2011BAMS2901.1, 2011.
Lammert, A., Brummer, B., and Kaleschke, L.: Observation of cyclone-induced inertial sea-ice oscillation in Fram Strait, Geophys. Res. Lett., 36, L10503, https://doi.org/10.1029/2009GL037197, 2009.
Lammert, A., Brümmer, B., Haller, M., Müller, G., and Schyberg, H.: Comparison of three weather prediction models with buoy and aircraft measurements under cyclone conditions in Fram Strait, Tellus A, 62, 361–376, https://doi.org/10.1111/j.1600-0870.2010.00460.x, 2010.
Lampert, A., Maturilli, M., Ritter, C., Hoffmann, A., Stock, M., Herber, A., Birnbaum, G., Neuber, R., Dethloff, K., Orgis, T., Stone, R., Brauner, R., Kässbohrer, J., Haas, C., Makshtas, A., Sokolov., V., and Liu, P.: The spring-time boundary layer in the central Arctic observed during PAMARCMiP 2009, Atmosphere, 3, 320–351, https://doi.org/10.3390/atmos3030320, 2012.
Lance, S., Shupe, M. D., Feingold, G., Brock, C. A., Cozic, J., Holloway, J. S., Moore, R. H., Nenes, A., Schwarz, J. P., Spackman, J. R., Froyd, K. D., Murphy, D. M., Brioude, J., Cooper, O. R., Stohl, A., and Burkhart, J. F.: Cloud condensation nuclei as a modulator of ice processes in Arctic mixed-phase clouds, Atmos. Chem. Phys., 11, 8003–8015, https://doi.org/10.5194/acp-11-8003-2011, 2011.
Langen, P. L., Graversen, R. G., and Mauritsen, T.: Separation of contributions from radiative feedbacks to polar amplification on an aquaplanet. J. Clim., 25, 3010–3024, 2012.
Láska, K., Witoszová, D., and Prošek, P.: Weather patterns of the coastal zone of Petuniabukta, central Spitsbergen in the period 2008–2010, Polish Polar Res., 33, 297–318, https://doi.org/10.2478/v10183−012−0025−0, 2012.
Lawrence, D., Oleson, K. W., Flanner, M. G., Thorton, P. E., Swenson, S. C., Lawrence, P. J., Zeng, X., Yang, Z.-L., Levis, S., Skaguchi, K., Bonan, G. B., and Slater, A. G.: Parameterization Improvements and Functional and Structural Advances in Version 4 of the Community Land Model, J. Adv. Modeling Earth Systems, 3, 27 pp., https://doi.org/10.1029/2011ms000045, 2011.
Lecomte, O., Fichefet, T., Vancoppenolle, M., and Nicolaus, M.: A new snow thermodynamic scheme for large-scale sea-ice models, Ann. Glaciol., 52, 337-346, 2011. v Lenn, Y.-D., Rippeth, T. P., Old, C. P., Bacon, S., Polyakov, I., Ivanov, V., and Hölemann, J.: Intermittent intense turbulent mixing under Ice in the Laptev Sea continental shelf, J. Phys. Oceanogr., 41, 531–547, https://doi.org/10.1175/2010JPO4425.1, 2011.
Levine, M. D., Paulson, C. A., and Morison, J. H.: Internal waves in the Arctic Ocean: Comparison with lower-latitude observations, J. Phys. Oceanogr., 15, 800–809, 1985.
Light, B., Grenfell, T. C., and Perovich, D. K.: Transmission and absorption of solar radiation by Arctic sea ice during the melt season, J. Geophys. Res., 113, C03023, https://doi.org/10.1029/2006jc003977, 2008.
Linders, T. and Saetra, O.: Can CAPE maintain polar lows?, J. Atmos. Sci., 67, 2559–2571, 2010.
Lique, C. and Steele, M.: Where can we find a seasonal cycle of the Atlantic water temperature within the Arctic Basin?, J. Geophys. Res., 117, C03026, https://doi.org/10.1029/2011jc007612, 2012.
Liu, A., Moore, G., Tsuboki, K., and Renfrew, I.: The Effect of the Sea-ice Zone on the Development of Boundary-layer Roll Clouds During Cold Air Outbreaks, Bound.-Layer Meteorol., 118, 557–581, https://doi.org/10.1007/s10546-005-6434-4, 2006.
Liu, J., Zhang, Z., Inoue, J., and Horton, R. M.: Evaluation of snow/ice albedo parameterizations and their impacts on sea ice simulations, Int. J. Climatol., 27, 81–91, https://doi.org/10.1002/joc.1373, 2007.
Liu, Y., Key, J. R., Ackerman, S. A., Mace, G. C., and Zhang, Q.: Arctic cloud macrophysical characteristics from CloudSat and CALIPSO, Remote Sensing Environ., 124, 159–173, https://doi.org/10.1016/j.rse.2012.05.006, 2012.
Lu, P., Li, Z., Cheng, B., and Leppäranta, M.: A parameterization of the ice-ocean drag coefficient, J. Geophys. Res., 116, C07019, 2011.
Lubin, D. and Vogelmann, A. M.: A climatologically significant aerosol longwave indirect effect in the Arctic, Nature, 439, 453–456, https://doi.org/10.1038/nature04449, 2006.
Lüpkes, C., Vihma, T., Birnbaum, G., and Wacker, U.: Influence of leads in sea ice on the temperature of the atmospheric boundary layer during polar night, Geophys. Res. Lett., 35, L03805, https://doi.org/10.1029/2007GL032461, 2008a.
Lüpkes, C., Gryanik, V. M., Witha, B., Gryschka, M., Raasch, S., and Gollnik, T.: Modeling convection over arctic leads with LES and a non-eddy-resolving microscale model, J. Geophys. Res., 113, C09028, https://doi.org/10.1029/2007JC004099, 2008b.
Lüpkes, C., Vihma, T., Jakobson, E., König-Langlo, G., and Tetzlaff, A.: Meteorological observations from ship cruises during summer to the central Arctic: A comparison with reanalysis data, Geophys. Res. Lett., 37, L09810, https://doi.org/10.1029/2010GL042724, 2010.
Lüpkes, C., Gryanik, V. M., Hartmann, J., and Andreas, E. L.: A parametrization, based on sea ice morphology, of the neutral atmospheric drag coefficients for weather prediction and climate models, J. Geophys. Res., 117, D13112, https://doi.org/10.1029/2012JD017630, 2012a.
Lüpkes, C., Vihma, T., Birnbaum, G., Dierer, S., Garbrecht, T., Gryanik, V., Gryschka, M., Hartmann, J., Heinemann, G., Kaleschke, L., Raasch, S., Savijärvi, H., Schlünzen, K., and Wacker, U.: Mesoscale modelling of the Arctic atmospheric boundary layer and its interaction with sea ice, Chapter 7 in: ARCTIC climate change – The ACSYS decade and beyond, Lemke, P. and Jacobi, H.-W., Springer, Atmospheric and Oceanographic Sciences Library, 43, 279–324, https://doi.org/10.1007/978-94-007-2027-5, 2012b.
Lüpkes, C., Gryanik, V. M., Rösel, A., Birnbaum, G., and Kaleschke, L.: Effect of sea ice morphology during Arctic summer on atmospheric drag coefficients used in climate models, Geophys. Res. Lett., 40, 446–451, https://doi.org/10.1002/grl.50081, 2013.
Mäkiranta, E., Vihma, T., Sjöblom, A., and Tastula, E.-M.: Observations and modelling of the atmospheric boundary layer over sea ice in a Svalbard fjord, Bound.-Layer Meteorol., 140, 105–123, https://doi.org/10.1007/s10546-011-9609-1, 2011.
Maksimovich, E. and Vihma, T.: The effect of surface heat fluxes on interannual variability in the spring onset of snow melt in the central Arctic Ocean, J. Geophys. Res., 117, C07012, https://doi.org/10.1029/2011JC007220, 2012.
Marcq, S. and Weiss, J.: Influence of sea ice lead-width distribution on turbulent heat transfer between the ocean and the atmosphere, The Cryopshere, 6, 143–156, https://doi.org/10.5194/tc-6-143-2012, 2012.
Marsan, D., Weiss, J., Metaxian, J. P., Grangeon, J., Roux, P. F., and Haapala, J.: Low-frequency bursts of horizontally polarized waves in the Arctic sea-ice cover, J. Glaciol., 57, 231–237, 2011.
Marsan, D., Weiss, J., Larose, E., and Metaxian, J. P.: Sea-ice thickness measurement based on the dispersion of ice swell, J. Acoustic. Soc. Am., 131, 80–91, 2012.
Massonnet, F., Fichefet, T., Goosse, H., Bitz, C. M., Philippon-Berthier, G., Holland, M. M., and Barriat, P.-Y.: Constraining projections of summer Arctic sea ice, The Cryosphere, 6, 1383–1394, https://doi.org/10.5194/tc-6-1383-2012, 2012.
Mauldin, A., Schlosser, P., Newton, R., Smethie Jr., W. M., Bayer, R., Rhein, M., and Jones, E. P.: The velocity and mixing time scale of the Arctic Ocean Boundary Current estimated with transient tracers, J. Geophys. Res., 115, C08002, https://doi.org/10.1029/2009JC005965, 2010.
Mauritsen, T. and Svensson, G.: Observations of Stably Stratified Shear-Driven Atmospheric Turbulence at Low and High Richardson Numbers, J. Atmos. Sci., 64, 645–655, 2007.
Mauritsen, T., Svensson, G., Zilitinkevich, S., Esau, I., Enger, L., and Grisogono, B.: A total turbulent energy closure model for neutrally and stably stratified atmospheric boundary layers, J. Atmos. Sci., 64, 4113–4126, 2007.
Mauritsen, T., Sedlar, J., Tjernström, M., Leck, C., Martin, M., Shupe, M., Sjogren, S., Sierau, B., Persson, P. O. G., Brooks, I. M., and Swietlicki, E.: An Arctic CCN-limited cloud-aerosol regime, Atmos. Chem. Phys., 11, 165–173, https://doi.org/10.5194/acp-11-165-2011, 2011.
Mauritsen, T., Graversen, R. G., Klocke, D., Langen, P. L., Stevens, B., and Tomassini, L.: Climate feedback efficiency and synergy. Clim. Dynam., 41, 2539–2554, https://doi.org/10.1007/s00382-013-1808-7, 2013.
Maykut, G. A. and Untersteiner, N.: Some results from a time-dependent, thermodynamic model of sea ice, J. Geophys. Res., 76, 1550–1575, 1971.
McFarquhar, G. M., Zhang, G., Poellot, M. R., Kok, G. L., McCoy, R., Tooman, T., Fridlind, A., and Heymsfield, A. J.: Ice properties of single-layer stratocumulus during the Mixed-Phase Arctic Cloud Experiment: 1. Observations, J. Geophys. Res., 112, D24201, https://doi.org/10.1029/2007JD008633, 2007.
McInnes, H., Kristiansen, J., Kristjánsson, J. E., Schyberg, H.: The role of horizontal resolution for polar low simulations, Q. J. Roy. Meteor. Soc., 137, 1674–1687, 2011.
McPhee, M.: Air-Ice-Ocean Interaction: Turbulent Ocean Boundary Layer Ex- change Processes, Springer Verlag, 215 pp., 2008.
McPhee, M. G., Maykut, G. A., and Morison, J. H.: Dynamics and thermodynamics of the ice/upper ocean system in the marginal ice zone of the Greenland Sea, J. Geophys. Res., 92, 7017–7031, 1987.
McPhee, M. G., Kottmeier, C., and Morrison, J. H.: Ocean heat ux in the central Weddell Sea in winter, J. Phys. Oceanogr., 29, 1166–1179, 1999.
Meehl, G., Washington, W., Arblaster, J., Hu, A., Teng, H., Kay, J., Gettelman, A., Lawrence, D., Sanderson, B., and Strand, W.: Climate change projections in CESM1(CAM5) compared to CCSM4, J. Clim., 26, 6287–6308, https://doi.org/10.1175/JCLI-D-12-00572.1, 2013.
Medeiros, B., Deser, C., Tomas, R. A., and Kay, J. E.: Arctic Inversion Strength in Climate Models. J. Clim., 24, 4733–4740, https://doi.org/10.1175/2011jcli3968.1, 2011.
Meier, W. N., Hovelsrud, G. K., van Oort, B. E. H., Key, J. R., Kovacs, K. M., Michel, C., Haas, C., Granskog, M. A., Gerland, S., Perovich, D. K., Makshtas, A., and Reist, J. D.: Arctic sea ice in transformation: A review of recent observed changes and impacts on biology and human activity, Rev. Geophys., 15, https://doi.org/10.1002/2013RG000431, 2014.
Middag, R., de Baar, H. J. W., Laan, P., and Bakker, K.: Dissolved aluminium and the silicon cycle in the Arctic Ocean, Marine Chem., 115, 176–195, https://doi.org/10.1016/j.marchem.2009.08.002, 2009.
Molteni, F., Stockdale, T., Balmaseda, M., Balsamo, G., Buizza, R., Ferranti, L., Magnusson, L., Mogensen, K., Palmer, T., and Vitart, F.: The new ECMWF seasonal forecast system (System 4), European Centre for Medium Range Weather Forecasts, Reading, England, 2011.
Moore, G. W. K.: A new look at Greenland flow distortion and its impact on barrier flow, tip jets and coastal oceanography, Geophys. Res. Lett., 39, L22806, https://doi.org/10.1029/2012GL054017, 2012.
Moore, G. W. K. and Pickart, R. S.: Northern Bering Sea tip jets, Geophys. Res. Lett., 39, L08807, https://doi.org/10.1029/2012GL051537, 2012.
Morrison, H., de Boer, G., Feingold, G., Harrington, J., Shupe, M. D., and Sulia, K.: Resilience of persistent Arctic mixed-phase clouds, Nature Geosci., 5, 11–17, https://doi.org/10.1038/NGE01332, 2012.
Müller-Stoffels, M. and Wackerbauer, R.: Albedo parametrization and reversibility of sea ice decay, Nonlin. Proc. Geophys., 19, 81–94, https://doi.org/10.5194/npg-19-81-2012, 2012.
Mundy, C. J., Ehn, J. K., Barber, D. G., and Michel, C.: Influence of snow cover and algae on the spectral dependence of transmitted irradiance through Arctic landfast first-year sea ice, J. Geophys. Res., 112, C03007, https://doi.org/10.1029/2006JC003683, 2007.
Nicolaus, M., Haas, C., and Bareiss, J.: Observations of superimposed ice formation at melt-onset on fast ice on Kongsfjorden, Svalbard, Phys. Chem. Earth, 28, 1241–1248, 2003.
Nicolaus, M., Gerland, S., Hudson, S. R., Hanson, S., Haapala, J., and Perovich, D. K.: Seasonality of spectral albedo and transmittance as observed in the Arctic Transpolar Drift in 2007, J. Geophys. Res., 115, C11011, https://doi.org/10.1029/2009JC006074, 2010a.
Nicolaus, M., Hudson, S. R., Gerland, S., and Munderloh, K.: A modern concept for autonomous and continuous measurements of spectral albedo and transmittance of sea ice, Cold Reg. Sci. Technol. 62, 14–28, 2010b.
Nicolaus, M., Petrich, C., Hudson, S. R., and Granskog, M. A.: Variability of light transmission through Arctic land-fast sea ice during spring, The Cryosphere, 7, 977–986, https://doi.org/10.5194/tc-7-977-2013, 2013.
Nordeng, T. E., Brunet, G., and Caughey, J.: Improvement of weather forecasts in polar regions, WMO Bulletin 56, 2007.
Notz, D.: Challenges in simulating sea ice in Earth System Models, WIREs, Clim. Change, 3, 509–526, https://doi.org/10.1002/wcc.189, 2012.
Notz, D. and Worster, M. G.: Desalination processes of sea ice revisited, J. Geophys. Res., 114, C05006, https://doi.org/10.1029/2008JC004885, 2009.
Notz, D., McPhee, M. G., Worster, M. G., Maykut, G., Schlünzen, K. H., and Eicken, H.: Impact of underwater-ice evolution on Arctic summer sea ice, J. Geophys. Res., 108, 3223, https://doi.org/10.1029/2001JC001173, 2003.
Nygård, T., Valkonen, T., and Vihma, T.: Characteristics of Arctic low-tropospheric humidity inversions based on radio soundings, Atmos. Chem. Phys., 14, 1959–1971, https://doi.org/10.5194/acp-14-1959-2014, 2014.
Outten, S. D., Renfrew, I. A., and Petersen, G. N.: An easterly tip jet off Cape Farewell, Greenland. Part II: Simulations and dynamics, Q. J. Roy. Meteor. Soc., 135, 1934–1949, 2009.
Outten, S. D., Renfrew, I. A., and Petersen, G. N.: Erratum to "An easterly tip jet off Cape Farewell, Greenland. II: Simulations and dynamics", Q. J. Roy. Meteor. Soc., 136, 1099–1101, 2010.
Overland, J. E., McNutt, S. L., Groves, J., Salo, S., Andreas, E. L., and Persson, P. O. G.: Regional sensible and radiative heat flux estimates for the winter Arctic during the Surface Heat Budget of the Arctic Ocean (SHEBA) experiment, J. Geophys. Res., 105, 14093–14102, 2000.
Overland, J. E., Wang, M., and Salo, S.: The recent Arctic warm period, Tellus, Ser. A, 60, 589-597, https://doi.org/10.1111/j.1600-0870-2008, 2008.
Overland, J. E., Wang, M., Walsh, J. E., Christensen, J. H., Kattsov, V. M., and Champan, W. L.: Chapter 3: Climate model projections for the Arctic. In Snow, Water, Ice and Permafrost in the Arctic (SWIPA), Oslo, Arctic Monitoring and Assessment Programme (AMAP), 2011.
Padman, L.: Small-Scale Physical Processes in the Arctic Ocean, Arctic Oceanography, Marginal Ice Zones and Continental Shelves, 97–129, 1995.
Palmer, T. and Williams, P.: Stochastic Physics and Climate Modelling, Cambridge University Press, Cambridge, UK, 480 pp., 2010.
Pavelsky, T. M., Boe, J., Hall, A., and Fetzer, E. J.: Atmospheric inversion strength over polar oceans in winter regulated by sea ice, Clim. Dynam., 36, 945–955, https://doi.org/10.1007/s00382-010-0756-8, 2011.
Pedersen, C. A., Roeckner, E., Lüthje, M., and Winther, J.-G.: A new sea ice albedo scheme including melt ponds for ECHAM5 general circulation model, J. Geophys. Res., 114, D08101, https://doi.org/10.1029/2008JD010440, 2009.
Peltoniemi, J. I.: Spectropolarised ray-tracing simulations in densely packed particulate medium, J. Quant. Spectrosc. Radiat. Transf., 108, 180–196, https://doi.org/10.1016/j.jqsrt.2007.05.009, 2007.
Perovich, D. K.: Light reflection and transmission by a temperate snow cover, J. Glaciol., 53, 201-210, 2007.
Perovich, D. K. and Polashenski, C.: Albedo evolution of seasonal Arctic sea ice, Geophys. Res. Lett., 39, L08501, https://doi.org/10.1029/2012gl051432, 2012.
Perovich, D. K., Nghiem, S. V., Markus, T., and Schweiger, A.: Seasonal evolution and interannual variability of the local solar energy absorbed by the Arctic sea ice–ocean system, J. Geophys. Res., 112, C03005, https://doi.org/10.1029/2006jc003558, 2007a.
Perovich, D. K., Light, B., Eicken, H., Jones, K. F., Runciman, K., and Nghiem, S. V.: Increasing solar heating of the Arctic Ocean and adjacent seas, 1979–2005: Attribution and role in the ice-albedo feedback, Geophys. Res. Lett., 34, L19505, https://doi.org/10.1029/2007GL031480, 2007b.
Perovich, D. K., Grenfell, T. C., Light, B., Elder, B. C., Harbeck, J., Polashenski, C., Tucker, W. B., and Stelmach, C.: Transpolar observations of the morphological properties of Arctic sea ice, J. Geophys. Res., 114, https://doi.org/10.1029/2008JC004892, 2009.
Persson, P. O. G.: Onset and end of the summer melt season over sea ice: thermal structure and surface energy perspective from SHEBA, Clim. Dynam. 39, 1349–1371, 2012.
Persson, P. O. G., Fairall, C. W., Andreas, E. L., Guest, P. G., and Perovich, D. K.: Measurements near the Atmospheric Surface Flux Group tower at SHEBA: Near-surface conditions and surface energy budget, J. Geophys. Res., 107, 8045, https://doi.org/10.1029/2000JC000705, 2002.
Petersen, G. N. and Renfrew, I. A.: Aircraft-based observations of air–sea fluxes over Denmark Strait and the Irminger Sea during high wind speed conditions, Q. J. Roy. Meteor. Soc., 135, 2030–2045, https://doi.org/10.1002/qj.355, 2009.
Petersen, G. N., Renfrew, I. A., and Moore, G. W. K.: An overview of barrier winds off southeastern Greenland during GFDex, Q. J. Roy. Meteor. Soc., 135, 1950–1967, 2009.
Pirazzini, R. and Räisänen, P.: A method to account for surface albedo heterogeneity in single-column radiative transfer calculations under overcast conditions, J. Geophys. Res., 113, C03005, https://doi.org/10.1029/2008jd009815, 2008.
Pithan, F. and Mautitsen, T.: Arctic amplification dominated by temperature feedbacks in contemporary climate models, Nature Geosci., 7, 181–184, https://doi.org/10.1038/ngeo2071, 2014.
Polashenski, C., Perovich, D., and Courville, Z.: The mechanisms of sea ice melt pond formation and evolution, J. Geophys. Res., 117, C01001, https://doi.org/10.1029/2011JC007231, 2012.
Polyakov, I. V., Timokhov, L. A., Alexeev,V. A., Bacon, S., Dmitrenko, I. A., Fortier, L., Frolov, I. E., Gascard, J.-C., Hansen, E., Ivanov, V. V., Laxon, S., Mauritzen, C., Perovich, D., Shimada, K., Simmons, H. L., Sokolov, V. T., Steele, M., Toole, J.: Arctic Ocean warming contributes to reduced polar ice cap, J. Phys. Oceanogr., 40, 2743–2756, https://doi.org/10.1175/2010JPO4339.1, 2010.
Polyakov I.V., Pnyushkov, A., Rember, R., Ivanov, V. V., Lenn, Y.-D., Padman, L., and Carmack, E. C.: Mooring-based observations of double-diffusive staircases over the Laptev Sea slope, J. Phys. Oceanogr., 42, 95–109, https://doi.org/10.1175/2011JPO4606.1, 2012.
Porter, D. F., Cassano, J. J., and Serreze, M. C.: Analysis of the Arctic atmospheric energy budget in WRF: A comparison with reanalyses and satellite observations, J. Geophys. Res., 116, D22108, https://doi.org/10.1029/2011jd016622, 2011.
Postlethwaite, C. F., Morales Maqueda, M. A., le Fouest, V., Tattersall, G. R., Holt, J., and Willmott, A. J.: The effect of tides on dense water formation in Arctic shelf seas, Ocean Sci., 7, 203–217, https://doi.org/10.5194/os-7-203-2011, 2011.
Prenni, A. J., Harrington, J. Y., Tjernström, M., DeMott, P. J., Avramov, A., Long, C. N., Kreidenweis, S. M., Olsson, P. Q., and Verlinde, J.: Can Ice-Nucleating Aerosols Affect Arctic Seasonal Climate, B. Am. Meteorol. Soc., 88, 541–550, https://doi.org/10.1175/BAMS-88-4-541, 2007.
Pringle, D. J., Eicken, H., Trodahl, H. J., and Backstrom, L. G. E.: Thermal conductivity of landfast Antarctic and Arctic sea ice, J. Geophys. Res., 112, C04017, https://doi.org/10.1029/2006JC003641, 2007.
Quinn, P. K., Bates, T. S., Baum, E., Doubleday, N., Fiore, A. M., Flanner, M., Fridlind, A., Garrett, T. J., Koch, D., Menon, S., Shindell, D., Stohl, A., and Warren, S. G.: Short-lived pollutants in the Arctic: their climate impact and possible mitigation strategies. Atmos. Chem. Phys., 8, 1723–1735, https://doi.org/10.5194/acp-8-1723-2008, 2008.
Raddatz, R. L., Asplin, M. G., Candlish, L., and Barber, D. G.: General Characteristics of the Atmospheric Boundary Layer Over a Flaw Lead Polynya Region in Winter and Spring. Bound.-Layer Meterol., 138, 321–335, https://doi.org/10.1007/s10546-010-9557-1, 2011.
Rainville, L. and Winsor, P.: Mixing across the Arctic Ocean: Microstructure observations during the Beringia 2005 Expedition, Geophys. Res. Lett., 35, L08606, https://doi.org/10.1029/2008GL033532, 2008.
Rainville, L. and Woodgate, R. A.: Observations of internal wave generation in the seasonally ice-free Arctic, Geophys. Res. Lett., 36, L23604, https://doi.org/10.1029/2009GL041291, 2009.
Rainville, L., Lee, C. M., and Woodgate, R. A.: Impact of Wind-Driven Mixing in the Arctic Ocean, Oceanography, 24, 136-145, 2011.
Rampal, P., Weiss, J., and Marsan, D.: Positive trend in the mean speed and deformation rate of Arctic sea ice: 1979–2007, J. Geophys. Res., 114, C05013, 2009.
Rampal, P., Weiss, J., Dubois, C., and Campin, J. M.: IPCC climate models do not capture Arctic sea ice drift acceleration: Consequences in terms of projected sea ice thinning and decline, J. Geophys. Res., 116, C00D07, 2011.
Rasmussen, E. A. and Turner, J.: Polar lows: mesoscale weather systems in the polar regions, xi, 612 p. pp., Cambridge University Press, Cambridge, UK, New York, 2003.
Renfrew, I. A.: Polar lows, The Encyclopedia of the Atmospheric Sciences, 3, 1761–1768, edited by: Holton, J. R., Pylem J., and Curry, J. A., Academic Press, 2003.
Renfrew, I. A., Moore, G. W. K., Kristjansson, J. E., Olafsson, H., Gray, S. L., Petersen, G. N., Bovis, K., Brown, P. R. A., Føre, I, Haine, T, Hay, C, Irvine, E. A., Lawrence, A., Ohigashi, T., Outten, S., Pickart, R. S., Shapiro, M., Sproson, D., Swinbank, R., Woolley, A., Zhang, S.: The Greenland Flow Distortion experiment, B. Am. Meteorol. Soc., 89, 1307–1324, 2008.
Renfrew, I. A., Outten, S. D., and Moore, G. W. K.: An easterly tip jet off Cape Farewell, Greenland. Part I: Aircraft observations, Q. J. Roy. Meteor. Soc., 135, 1919–1933, 2009a.
Renfrew, I. A., Petersen, G. N., Sproson, D. A. J., Moore, G. W. K., Adiwidjaja, H., Zhang, S., and North, R.: A comparison of aircraft-based surface-layer observations over Denmark Strait and the Irminger Sea with meteorological analyses and QuikSCAT winds, Q. J. Roy. Meteor. Soc., 135, 2046–2066, https://doi.org/10.1002/qj.444, 2009b.
Rees Jones, D. W. and Worster, M. G.: Fluxes through steady chimneys in a mushy layer during binary alloy solidification. J. Fluid Mech., 714, 127–151, 2013a.
Rees Jones, D. W. and Worster, M. G.: A simple dynamical model for gravity drainage of brine from growing sea ice. Geophys. Res. Lett., 40(2), 307-311, https://doi.org/10.1029/2012GL054301, 2013b.
Reeve, M. A. and Kolstad, E. W.: The Spitsbergen South Cape tip jet. Q. J. Roy. Meteor. Soc., 137, 1739–1748, 2011.
Reuder, J., Jonassen, M., and Olafsson, H.: The Small Unmanned Meteorological Observer SUMO: Recent developments and applications of a micro-UAS for atmospheric boundary layer research, Acta Geophys., 60, 1454–1473, https://doi.org/10.2478/s11600-012-0042-8, 2012.
Revelle, D. O. and Nilsson, E. D.: Summertime low-level jets over the high-latitude Arctic Ocean, J. Appl. Meteorol. Clim., 47, 1770–1784, https://doi.org/10.1175/2007JAMC1637.1, 2008.
Riihelä, A., Manninen, T., Laine, V., Andersson, K., and Kaspar, F.: CLARA-SAL: a global 28 yr timeseries of Earth's black-sky surface albedo, Atmos. Chem. Phys., 13, 3743–3762, https://doi.org/10.5194/acp-13-3743-2013, 2013.
Rösel, A., Kaleschke, L., and Birnbaum, G.: Melt ponds on Arctic sea ice determined from MODIS satellite data using an artificial neural network, The Cryosphere, 6, 431–446, https://doi.org/10.5194/tc-6-431-2012, 2012.
Rudels, B., Anderson, L. G., and Jones, E. P.: Formation and evolution of the surface mixed layer and halocline of the Arctic Ocean, J. Geophys. Res., 101, 8807–8822, 1996.
Rudels, B., Björk, G., Muench, R. D., and Schauer, U.: Double-diffusive layering in the Eurasian Basin of the Arctic Ocean, J. Mar. Sys., 21, 3–27, 1999.
Rudels, B., Schauer, U., Björk, G., Korhonen, M., Pisarev, S., Rabe, B., and Wisotzki, A.: Observations of water masses and circulation with focus on the Eurasian Basin of the Arctic Ocean from the 1990s to the late 2000s, Ocean Sci., 9, 147–169, https://doi.org/10.5194/os-9-147-2013, 2013.
Saetra, O., Linders, T., and Deberbard, J. B.: Can polar lows lead to a warming of the ocean surface?, Tellus A, 60, 141–153, 2008.
Sankelo, P., Haapala, J., Heiler, I., and Rinne, E.: Melt pond formation and temporal evolution at the drifting station Tara during summer 2007, Polar Res., 29, 311–321, https://doi.org/10.1111/j.1751-8369.2010.00161.x, 2010.
Screen, J. A. and Simmonds, I.: Increasing fall-winter energy loss from the Arctic Ocean and its role in Arctic temperature amplification, Geophys. Res. Lett., 37, L16707, https://doi.org/10.1029/2010GL044136, 2010a.
Screen, J. A. and Simmonds, I.: The central role of diminishing sea ice in recent Arctic temperature amplification, Nature, 464, 1334–1337, 2010b.
Screen, J. A., and Simmonds, I.: Declining summer snowfall in the Arctic: causes, impacts and feedbacks, Clim. Dynam., 38, 2243-2256, https://doi.org/10.1007/s00382-011-1105-2, 2012.
Scott, F. and Feltham, D. L.: A model of the three-dimensional evolution of Arctic melt ponds on first-year and multiyear sea ice, J. Geophys. Res., 115, C12064, https://doi.org/10.1029/2010JC006156, 2010.
Sedlar, J. and Devasthale, A.: Clear-sky thermodynamic and radiative anomalies over a sea ice sensitive region of the Arctic, J. Geophy. Res., 117, D19111, https://doi.org/10.1029/2012JD017754, 2012.
Sedlar, J. and Shupe, M. D.: Characteristic nature of vertical motions observed in Arctic mixed-phase stratocumulus, Atmos. Chem. Phys., 14, 3461–3478, https://doi.org/10.5194/acp-14-3461-2014, 2014.
Sedlar, J. and Tjernström, M.: Stratiform Cloud-Inversion Characterization During the Arctic Melt Season, Bound.-Layer Meterol., 132, 455–-474, https://doi.org/10.1007/s10546-009-9407-1, 2009.
Sedlar, J., Tjernström, M., Mauritsen, T., Shupe, M., Brooks, I., Persson, P. O., Birch, C., Leck, C., Sirevaag, A., and Nicolaus, M.: A transitioning Arctic surface energy budget: the impacts of solar zenith angle, surface albedo and cloud radiative forcing, Clim. Dynam., 37, 1643–1660, https://doi.org/10.1007/s00382-010-0937-5, 2011.
Sedlar, J., Shupe, M. D., and Tjernström, M.: On the Relationship between thermodynamic structure and cloud top, and its climate significance in the Arctic. J. Climate, 25, 2374–2393, https://doi.org/10.1175/jcli-d-11-00186.1, 2012.
Semmler, T., Cheng, B., Yang, Y., and Rontu, L.: Snow and ice on Bear Lake (Alaska) – sensitivity experiments with two lake ice models, Tellus A 2012, 64, 17339, https://doi.org/10.3402/tellusa.v64i0.17339, 2012.
Send, U. and Marshall, J.: Integral effects of deep convection, J. Phys. Oceanogr., 25, 855–872, 1995.
Serreze, M. C. and Barry, R. G.: Processes and impacts of Arctic amplification: A research synthesis, Global Planet. Change, 77, 85–96, https://doi.org/10.1016/j.gloplacha.2011.03.004, 2011.
Serreze, M. C., Kahl, J. D. W., and Schnell, R. C.: Low-level temperature inversions of the Eurasian Arctic 5 and comparisons with Soviet drifting stations, J. Climate, 8, 719–731, 1992.
Serreze, M. C., Barrett, A. P., and Cassano, J. J.: Circulation and surface controls on the lower tropospheric temperature field of the Arctic, J. Geophys. Res., 116, D07104, https://doi.org/10.1029/2010JD015127, 2011.
Serreze, M. C., Barrett, A. P., and Stroeve, J.: Recent changes in tropospheric water vapor over the Arctic as assessed from radiosondes and atmospheric reanalyses, J. Geophys. Res., 117, D10104, https://doi.org/10.1029/2011jd017421, 2012.
Shaw, G. E.: Vertical distribution of tropospheric aerosols at Barrow, Alaska, Tellus, 27, 39–50, 1975.
Shaw, W. J., Stanton, T. P., McPhee, M. G., Morison, J. H., and Martinson, D. G.: Role of the upper ocean in the energy budget of arctic sea ice during SHEBA, J. Geophys. Res., 114, C06012, https://doi.org/10.1029/2008JC004991, 2009.
Shertzer, R. H. and Adams, E. E.: Anisotropic thermal conductivity model for dry snow, Cold Reg. Sci. Technol., 69, 122–128, https://doi.org/10.1016/j.coldregions.2011.09.005, 2011.
Shindell, D. and Faluvegi, G.: Climate response to regional radiative forcing during the twentieth century, Nature Geosci., 2, 294–300, https://doi.org/10.1038/ngeo473 10.1038/NGEO473, 2009.
Shupe, M. D.: Clouds at Arctic Observatories. Part II: Thermodynamic Phase Characteristics, J. Appl. Meteorol. Climatol., 50, 645–661, https://doi.org/10.1175/2010JAMC2468.1, 2011.
Shupe, M. D. and Intrieri, J. M.: Cloud radiative forcing of the Arctic surface: the influence of cloud properties, surface albedo, and solar zenith angle, J. Clim., 17, 616-628, 2004.
Shupe, M. D., Kollias, P., Persson, P. O. G., and McFarquhar, G. M.: Vertical Motions in Arctic Mixed-Phase Stratiform Clouds, J. Atmos. Sci., 65, 1304–1322, https://doi.org/10.1175/2007JAS2479.1, 2008.
Shupe, M. D., Walden, V. P., Eloranta, E., Uttal, T., Campbell, J. R., Starkweather, S. M., and Shiobara, M.: Clouds at Arctic atmospheric observatories. Part I: occurrence and macrophysical properties, J. Appl. Meteorol. Climatol., 50, 626–644, https://doi.org/10.1175/2010JAMC2467.1, 2011.
Shupe, M. D., Brooks, I. M., and Canut, G.: Evaluation of turbulent dissipation rate retrievals from Doppler Cloud Radar, Atmos. Meas. Tech., 5, 1375–1385, https://doi.org/10.5194/amt-5-1375-2012, 2012.
Shupe, M. D., Persson, P. O. G., Brooks, I. M., Tjernström, M., Sedlar, J., Mauritsen, T., Sjogren, S., and Leck, C.: Cloud and boundary layer interactions over the Arctic sea ice in late summer, Atmos. Chem. Phys., 13, 9379–9400, https://doi.org/10.5194/acp-13-9379-2013, 2013.
Sirevaag, A.: Turbulent exchange coefficients for the ice/ocean interface in case of rapid melting, Geophys. Res. Lett., 36, L04606, https://doi.org/10.1029/2008GL036587, 2009.
Sirevaag, A. and Fer, I.: Early spring oceanic heat fluxes and mixing observed from drift stations north of Svalbard, J. Phys. Oceanogr., 39, 3049–3069, 2009.
Sirevaag, A. and Fer, I.: Vertical heat transfer in the Arctic Ocean: The role of double-diffusive mixing, J. Geophys. Res., 117, C07010, https://doi.org/10.1029/2012jc007910, 2012.
Sirevaag, A., de la Rosa, S., Fer, I., Nicolaus, M., Tjernström, M., and McPhee, M. G.: Mixing, heat fluxes and heat content evolution of the Arctic Ocean mixed layer, Ocean Sci., 7, 335-349, https://doi.org/10.5194/os-7-335-2011, 2011.
Skyllingstad, E. D., Paulson, C. A., and Perovich, D. K.: Simulation of melt pond evolution on level ice, J. Geophys. Res., 114, C12019, https://doi.org/10.1029/2009JC005363, 2009.
Solomon, A., Shupe, M. D., Persson, P. O. G., and Morrison, H.: Moisture and dynamical interactions maintaining decoupled Arctic mixed-phase stratocumulus in the presence of a humidity inversion, Atmos. Chem. Phys., 11, 10127–10148, https://doi.org/10.5194/acp-11-10127-2011, 2011.
Sorbjan, Z. and Grachev, A. A.: An evaluation of the flux–gradient relationship in the stable boundary layer, Bound.-Layer Meteorol., 135, 385–405, 2010.
Sotiropoulou, G., Sedlar, J., Tjernström, M., Shupe, M. D., Brooks, I. M., and Persson, P. O. G.: The thermodynamic structure of summer Arctic stratocumulus and the dynamic coupling to the surface, Atmos. Chem. Phys. Discuss., 14, 3815–3874, https://doi.org/10.5194/acpd-14-3815-2014, 2014.
Spreen, G., Kwok, R., and Menemenlis, D.: Trends in Arctic sea ice drift and role of wind forcing: 1992–2009, Geophys. Res. Lett., 38, L19501, https://doi.org/10.1029/2011GL048970, 2011.
Sproson, D. A. J., Renfrew, I. A., and Heywood, K. J.: Atmospheric conditions associated with oceanic convection in the south-east Labrador Sea, Geophys. Res. Lett., 35, L06601, https://doi.org/10.1029/2007GL032971, 2008.
Sproson, D. A. J., Renfrew, I. A., and Heywood, K. J.: A Parameterization of Greenland's tip jets suitable for ocean or coupled climate models, J. Geophys. Res., 115, C08022, https://doi.org/10.1029/2009JC006002, 2010.
Steele, M., Zhang, J., and Ermold, W.: Mechanisms of summertime upper Arctic Ocean warming and the effect on sea ice melt, J. Geophys. Res., 115, C11004, https://doi.org/10.1029/2009jc005849, 2010.
Steeneveld, G. J., Wokke, M. J. J., Groot Zwaaftink, C. D., Pijlman, S., Heusinkveld, B. G., Jacobs, A. F. G., and Holtslag, A. A. M.: Observations of the radiation divergence in the surface layer and its implication for its parametrization in numerical weather prediction models, J. Geophys. Res., 115, D06107, https://doi.org/10.1029/2009JD013074, 2010.
Sterk, H. A. M., Steeneveld, G. J., and Holtslag, A. A. M.: The role of snow-surface coupling, radiation, and turbulent mixing in modeling a stable boundary layer over Arctic sea ice, J. Geophys. Res., 118, 1199–1217, https://doi.org/10.1002/jgrd.50158, 2013.
Straneo, F., Hamilton, G. S., Sutherland, D. A., Stearns, L. A., Davidson, F., Hammill, M. O., Stenson, G. B., and Rosing-Asvid, A.: Rapid circulation of warm subtropical waters in a major glacial fjord in East Greenland, Nature Geosci., 3, 182–186, 2010.
Stranne, C. and Björk, G.: On the Arctic Ocean ice thickness response to changes in the external forcing, Clim. Dynam., 39, 3007–3018, https://doi.org/10.1007/s00382-011-1275-y, 2011.
Stroeve, J. C., Kattsov, V., Barrett, A., Serreze, M., Pavlova, T., Holland, M., and Meier, W. N.: Trends in Arctic sea ice extent from CMIP5, CMIP3 and observations, Geophys. Res. Lett., 39, L16502, https://doi.org/10.1029/2012GL052676, 2012.
Sukoriansky, S., Galperin, B., and Perov, V.: Application of a new spectral theory of stably stratified turbulence to the atmospheric boundary layer over ice. Bound.-Layer Meteorol., 117, 231–257, 2005.
Svensson, G. and Holtslag, A. A. M.: Analysis of model results for the turning of the wind and the related momentum fluxes and depth of the stable boundary layer, Bound.-Layer Meteorol., 132, 261–277, https://doi.org/10.1007/s10546-009-9395-1, 2009.
Taylor, P. C., Cai, M., Hu, A., Meehl, J., Washington, W., and Zhang, G. J.: A decomposition of feedback contributions to polar warming amplification, J. Clim. 26, 7023–7043, 2013.
Tetzlaff, A., Kaleschke, L., Lüpkes, C., Ament, F., and Vihma, T.: The impact of heterogeneous surface temperatures on the 2-m air temperature over the Arctic Ocean in spring, The Cryosphere, 7, 153–166, https://doi.org/10.5194/tc-7-153-2013, 2013.
Thorpe, A. J. and Guymer, T. H.: The nocturnal jet, Q. J. Roy. Meteor. Soc., 103, 633–653, 1977.
Tietsche, S., Notz, D., Jungclaus, J. H., and Marotzke, J.: Recovery mechanisms of Arctic summer sea ice, Geophys. Res. Lett., 38, https://doi.org/10.1029/2010GL045698, 2011.
Timmermans, M.-L., Toole, J., Krishfield, R. A., and Winsor, P.: Ice-tethered profiler observations of the double-diffusive staricase in the Canada Basin thermocline, J. Geophys. Res., 113, C00A02, https://doi.org/10.1029/2008JC004829, 2008.
Timmermans, M.-L., Cole, S. T., and Toole, J. M.: Horizontal density structure and restratification in the Arctic Ocean surface layer, J. Phys. Oceanogr., 42, 659–668, 2012.
Tisler, P., Vihma, T., Müller, G., and Brümmer, B.: Modelling of warm-air advection over Arctic sea ice, Tellus, 60A, 775–788, 2008.
Tjernström, M.: Is there a diurnal cycle in the summer cloud-capped arctic boundary layer?, J. Atmos. Sci., 64, 3970–3986, https://doi.org/10.1175/2007jas2257.1, 2007.
Tjernström, M. and Graversen, R. G.: The vertical structure of the lower Arctic troposphere analysed from observations and the ERA-40 reanalysis, Q. J. Roy. Meteor. Soc., 135, 431–443, https://doi.org/10.1002/qj.380, 2009.
Tjernström, M., Leck, C., Persson, P. O. G., Jensen, M. L., Oncley, S. P., and Targino, A.: The Summertime Arctic Atmosphere: Meteorological Measurements during the Arctic Ocean Experiment 2001, Bull. Amer. Meteorol. Soc., 85, 1305–1321, https://doi.org/10.1175/BAMS-85-9-1305, 2004.
Tjernström, M., Zagar, M., Svensson, G., Cassano, J. J., Pfeifer, S., Rinke, A., Wyser, K., Dethloff, K., Jones, C., Semmler, T., and Shaw M.: Modelling the Arctic boundary layer: an evaluation of six ARCMIP regional-scale models using data from the SHEBA project, Bound.-Layer Meteorol., 117, 337–381, 2005.
Tjernström, M., Sedlar, J., and Shupe, M. D.: How well do regional climate models reproduce radiation and clouds in the Arctic? An evaluation of ARCMIP simulations. J. Appl. Meteorol. Climatol., 47, 2405–2422, 2008.
Tjernström, M., Birch, C. E., Brooks, I. M., Shupe, M. D., Persson, P. O. G., Sedlar, J., Mauritsen, T., Leck, C., Paatero, J., Szczodrak, M., and Wheeler, C. R.: Meteorological conditions in the central Arctic summer during the Arctic Summer Cloud Ocean Study (ASCOS), Atmos. Chem. Phys., 12, 6863–6889, https://doi.org/10.5194/acp-12-6863-2012, 2012.
Tjernström, M., Leck, C., Birch, C. E., Bottenheim, J. W., Brooks, B. J., Brooks, I. M., Bäcklin, L., Chang, R. Y.-W., de Leeuw, G., Di Liberto, L., de la Rosa, S., Granath, E., Graus, M., Hansel, A., Heintzenberg, J., Held, A., Hind, A., Johnston, P., Knulst, J., Martin, M., Matrai, P. A., Mauritsen, T., Müller, M., Norris, S. J., Orellana, M. V., Orsini, D. A., Paatero, J., Persson, P. O. G., Gao, Q., Rauschenberg, C., Ristovski, Z., Sedlar, J., Shupe, M. D., Sierau, B., Sirevaag, A., Sjogren, S., Stetzer, O., Swietlicki, E., Szczodrak, M., Vaattovaara, P., Wahlberg, N., Westberg, M., and Wheeler, C. R.: The Arctic Summer Cloud Ocean Study (ASCOS): overview and experimental design, Atmos. Chem. Phys., 14, 2823–2869, https://doi.org/10.5194/acp-14-2823-2014, 2014.
Toole, J. M., Timmermans, M. L., Perovich, D. K., Krishfield, R. A., Proshutinsky, A., and Richter-Menge, J. A.: Influences of the ocean surface mixed layer and thermohaline stratification on Arctic Sea ice in the central Canada Basin, J. Geophys. Res., 115, C10018, https://doi.org/10.1029/2009jc005660, 2010.
Tsai, V. C. and McNamara, D. E.: Quantifying the influence of sea ice on ocean microseism using observations from the Bering Sea, Alaska, Geophys. Res. Lett., 38, L22502, https://doi.org/10.1029/2011GL049791, 2011.
Turner, A. K., Hunke, E. C., and Bitz, C. M.: Two modes of sea-ice gravity drainage: A parameterization for large-scale modeling, J. Geophys. Res., 118, 2279–2294, 2013.
Turner, J. S.: The melting of ice in the Arctic Ocean: the influence of double-diffusive transport of heat from below, J. Phys. Oceanogr., 40, 249–256, https://doi.org/10.1175/2009jpo4279.1, 2010.
Uotila, P., Holland, P. R., Vihma, T., Marsland, S. J., and Kimura, N.: Is realistic Antarctic sea ice extent in climate models the result of excessive ice drift?, Ocean Model., 79, 33–42, https://doi.org/10.1016/j.ocemod.2014.04.004, 2014.
Våge, K., Pickart, R. S., Moore, G. W. K., and Ribergaard, M. H.: Winter mixed layer development in the central Irminger Sea: The effect of strong, intermittent wind events, J. Phys. Oceanogr., 38, 541–565, 2008.
Valkonen, T., Vihma, T., and Doble, M.: Mesoscale modelling of the atmospheric boundary layer over the Antarctic sea ice: a late autumn case study, Mon. Weather Rev., 136, 1457–1474, 2008.
Vavrus, S., Walsh, J. E., Chapman, W. L., and Portis, D.: Behavior of extreme cold air outbreaks under greenhouse warming, Int. J. Climatol., 26, 1133–1147, 2006.
Vihma, T.: Effects of Arctic sea ice decline on weather and climate: A review. Surv. Geophys., DOI 10.1007/s10712-014-9284-0, 2014.
Vihma, T., Jaagus, J., Jakobson, E., and Palo, T.: Meteorological conditions in the Arctic Ocean in spring and summer 2007 as recorded on the drifting ice station Tara, Gephys. Res. Lett., 35, L18706, https://doi.org/10.1029/2008GL034681, 2008.
Vihma, T., Kilpeläinen, T., Manninen, M., Sjöblom, A., Jakobson, E., Palo, T., Jaagus, J., and Maturilli, M.: Characteristics of temperature and humidity inversions and low-level jets over Svalbard fjords in spring, Adv. Meteorol., 2011, 486807, https://doi.org/10.1155/2011/486807, 2011.
Vihma, T., Tisler, P., and Uotila, P.: Atmospheric forcing on the drift of Arctic sea ice in 1989–2009, Geophys. Res. Lett., 39, L02501, https://doi.org/10.1029/2011GL050118, 2012.
Voss, P. B., Hole, L. R., Helbling, E. F., Roberts, T. J.: Continuous In-Situ Soundings in the Arctic Boundary Layer: A New Atmospheric Measurement Technique Using Controlled Meteorological Balloons, J. Intell. Robot Syst., 70, 609–617, https://doi.org/10.1007/s10846-012-9758-6, 2013.
Wagner, J. S., Gohm, A., Dörnbrack, A., and Schäfler, A.: The mesoscale structure of a polar low: airborne lidar measurements and simulations, Q. J. Roy. Meteor. Soc., 137, 1516–1531, 2011.
Walsh, D. and Carmack, E.: The nested structure of Arctic thermohaline intrusions, Ocean Model., 5, 267–289, 2003.
Walsh, J. E.: Intensified warming of the Arctic: causes and impacts on middle latitudes, Glob. Planet. Change, 117, 52–63, https://doi.org/10.1016/j.gloplacha.2014.03.003, 2014.
Wang, C., Granskog, M. A., Gerland, S., Hudson, S. R., Perovich, D. K., Nicolaus, M., Karlsen, T. I., Fossan, K., and Bratrein, M.: Autonomous observations of solar energy partitioning in first-year sea ice in the Arctic Basin. J. Geophys. Res., 119, 2066–2080, https://doi.org/10.1002/2013JC009459, 2014.
Wang, Q., Jacob, D. J., Fisher, J. A., Mao, J., Leibensperger, E. M., Carouge, C. C., Le Sager, P., Kondo, Y., Jimenez, J. L., Cubison, M. J., and Doherty, S. J.: Sources of carbonaceous aerosols and deposited black carbon in the Arctic in winter–spring: implications for radiative forcing, Atmos. Chem. Phys., 11, 12453–12473, https://doi.org/10.5194/acp-11-12453-2011, 2011.
Wang, S., Trishchenko, A. P., Khlopenkov, K. V., and Davidson, A.: Comparison of International Panel on Climate Change Fourth Assessment Report climate model simulations of surface albedo with satellite products over northern latitudes, J. Geophys. Res., 111, D21108, https://doi.org/10.1029/2005jd006728, 2006.
Weiss, J., Schulson, E. M., and Stern, H. L.: Sea ice rheology from in-situ, satellite and laboratory observations: Fracture and friction, Earth Planet. Sci. Lett., 255, 1–8, 2007.
Wells, A. J., Wettlaufer, J. S., and Orszag, S. A.: Brine fluxes from growing sea ice, Geophys. Res. Lett., 38, L04501, https://doi.org/10.1029/2010GL046288, 2011.
Wesslén, C., Tjernström, M., Bromwich, D. H., de Boer, G., Ekman, A. M. L., Bai, L.-S., and Wang, S.-H.: The Arctic summer atmosphere: an evaluation of reanalyses using ASCOS data, Atmos. Chem. Phys., 14, 2605–2624, https://doi.org/10.5194/acp-14-2605-2014, 2014.
Wetzel, C. and Brummer, B.: An Arctic inversion climatology based on the European Centre Reanalysis ERA-40. Meteorol. Zeitschr., 20, 589–600, https://doi.org/10.1127/0941-2948/2011/0295, 2011.
Widell, K., Fer, I., and Haugan, P. M.: Salt release from warming sea ice, Geophys. Res. Lett., 33, L12501, https://doi.org/10.1029/2006GL026262, 2006.
Wilson, A. B., Bromwich, D. H., and Hines, K. M.: Evaluation of Polar WRF forecasts on the Arctic System Reanalysis domain: Surface and upper air analysis, J. Geophys. Res., 116, D11112, https://doi.org/10.1029/2010JD015013, 2011.
Wyser, K., Jones, C. G., Du, P., Girard, E., Willén, U., Cassano, J., Christensen, J. H., Curry, J. A., Dethloff, K., Haugen, J. E., Jacob, D., Køltzow, M., Laprise, R., Lynch, A., Pfeifer, S., Rinke, A., Serreze, M., Shaw, M. J., Tjernström, M., and Zagar, M.: An evaluation of Arctic cloud and radiation processes during the SHEBA year: simulation results from eight Arctic regional climate models, Clim. Dynam., 30, 203–223, https://doi.org/10.1007/s00382-007-0286-1, 2008.
Yasunari, T. J., Koster, R. D., Lau, K. M., Aoki, T., Sud, Y. C., Yamazaki, T., Motoyoshi, H., and Kodama, Y.: Influence of dust and black carbon on the snow albedo in the NASA Goddard Earth Observing System version 5 land surface model, J. Geophys. Res., 116, D02210, https://doi.org/10.1029/2010JD014861, 2011.
Zahn, M. and von Storch, H.: Decreased frequency of North Atlantic polar lows associated with future climate warming. Nature, 467, 309-312, 2010.
Zhang, Y., Seidel, D. J., Golaz, J. C., Deser, C., and Tomas, R. A.: Climatological characteristics of Arctic and Antarctic Surface-Based Inversions, J. Clim., 24, 5167–5186, https://doi.org/10.1175/2011JCLI4004.1, 2011.
Zilitinkevich, S. S. and Esau, I. N.: Resistance and heat-transfer laws for stable and neutral planetary boundary layers: old theory advanced and re-evaluated, Q. J. Roy. Meteorol. Soc., 131, 1863–1892, 2005.
Zilitinkevich, S. S., Elperin, T., Kleeorin, N., Rogachevskii, I., and Esau, I.: A Hierarchy of Energy- and Flux-Budget (EFB) Turbulence Closure Models for Stably-Stratified Geophysical Flows, Bound.-Layer Meteorol., 146, 341–373, https://doi.org/10.1007/s10546-012-9768-8, 2013.
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