Articles | Volume 19, issue 6
https://doi.org/10.5194/acp-19-4041-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-4041-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Apr 2019
Research article |
| 01 Apr 2019
| 01 Apr 2019
Characterisation of short-term extreme methane fluxes related to non-turbulent mixing above an Arctic permafrost ecosystem
Carsten Schaller
Department of Micrometeorology, University of Bayreuth, 95440 Bayreuth, Germany
Max-Planck-Institute for Biogeochemistry, 07745 Jena, Germany
now at: University of Münster, Institute of Landscape Ecology, Climatology Research Group, Heisenbergstr. 2, 48149 Münster, Germany
Fanny Kittler
Max-Planck-Institute for Biogeochemistry, 07745 Jena, Germany
Thomas Foken
Department of Micrometeorology, University of Bayreuth, 95440 Bayreuth, Germany
University of Bayreuth, Bayreuth Center of Ecology and Environmental Research (BayCEER), 95440 Bayreuth, Germany
Mathias Göckede
CORRESPONDING AUTHOR
Max-Planck-Institute for Biogeochemistry, 07745 Jena, Germany
Related authors
Bruna R. F. Oliveira, Carsten Schaller, J. Jacob Keizer, and Thomas Foken
Biogeosciences, 18, 285–302, https://doi.org/10.5194/bg-18-285-2021, https://doi.org/10.5194/bg-18-285-2021, 2021
Short summary
Short summary
Forest fires have a significant impact on carbon dioxide emissions. The present study from a pine forest in Portugal is one of the few where measurements of CO2 fluxes were started immediately (1.5 months) after the forest fire. Carbon dioxide emissions were linked to soil humidity. Therefore, they started after the beginning of the rainfall in autumn. Due to the beginning of vegetation, the site was already a carbon dioxide sink the following year.
Mathias Göckede, Fanny Kittler, and Carsten Schaller
Biogeosciences, 16, 3113–3131, https://doi.org/10.5194/bg-16-3113-2019, https://doi.org/10.5194/bg-16-3113-2019, 2019
Short summary
Short summary
Methane is one of the most important greenhouse gases. Methane emissions from land sources to the atmosphere often occur in the form of short but intense outbursts, which are difficult to measure. We developed a new software tool based on wavelets which reliably quantifies such methane outbursts. Using these results as a reference, our study shows that regular data processing using the eddy-covariance technique provides solid long-term methane budgets, but short-term uncertainties can be high.
Carsten Schaller, Mathias Göckede, and Thomas Foken
Atmos. Meas. Tech., 10, 869–880, https://doi.org/10.5194/amt-10-869-2017, https://doi.org/10.5194/amt-10-869-2017, 2017
Short summary
Short summary
The eddy covariance (EC) method allows for measuring and calculating vertical turbulent exchange fluxes between ecosystems and the atmosphere. It fails in non-steady-state flow conditions, e.g. in Arctic regions. Two alternative calculation methods, conditional sampling and wavelet analysis, were implemented and compared to EC. Wavelet analysis for allows calculating a trustworthy flux even in non-stationary times and offers new possibilities for exact flux calculation in difficult environments.
Qing Ying, Benjamin Poulter, Jennifer D. Watts, Kyle A. Arndt, Anna-Maria Virkkala, Lori Bruhwiler, Youmi Oh, Brendan M. Rogers, Susan M. Natali, Hilary Sullivan, Luke D. Schiferl, Clayton Elder, Olli Peltola, Annett Bartsch, Amanda Armstrong, Ankur R. Desai, Eugénie Euskirchen, Mathias Göckede, Bernhard Lehner, Mats B. Nilsson, Matthias Peichl, Oliver Sonnentag, Eeva-Stiina Tuittila, Torsten Sachs, Aram Kalhori, Masahito Ueyama, and Zhen Zhang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-84, https://doi.org/10.5194/essd-2024-84, 2024
Preprint under review for ESSD
Short summary
Short summary
We present daily methane fluxes of northern wetlands at 10-km resolution during 2016–2022 (WetCH4) derived from a novel machine-learning framework with improved accuracy. We estimated an average annual CH4 emissions of 20.8 ±2.1 Tg CH4 yr-1. Emissions were intensified in 2016, 2020, and 2022, with the largest interannual variations coming from West Siberia. Continued, all-season tower observations and improved soil moisture products are needed for future improvement of CH4 upscaling.
Jacob A. Nelson, Sophia Walther, Fabian Gans, Basil Kraft, Ulrich Weber, Kimberly Novick, Nina Buchmann, Mirco Migliavacca, Georg Wohlfahrt, Ladislav Šigut, Andreas Ibrom, Dario Papale, Mathias Göckede, Gregory Duveiller, Alexander Knohl, Lukas Hörtnagl, Russell L. Scott, Weijie Zhang, Zayd Mahmoud Hamdi, Markus Reichstein, Sergio Aranda-Barranco, Jonas Ardö, Maarten Op de Beeck, Dave Billdesbach, David Bowling, Rosvel Bracho, Christian Brümmer, Gustau Camps-Valls, Shiping Chen, Jamie Rose Cleverly, Ankur Desai, Gang Dong, Tarek S. El-Madany, Eugenie Susanne Euskirchen, Iris Feigenwinter, Marta Galvagno, Giacomo Gerosa, Bert Gielen, Ignacio Goded, Sarah Goslee, Christopher Michael Gough, Bernard Heinesch, Kazuhito Ichii, Marcin Antoni Jackowicz-Korczynski, Anne Klosterhalfen, Sara Knox, Hideki Kobayashi, Kukka-Maaria Kohonen, Mika Korkiakoski, Ivan Mammarella, Gharun Mana, Riccardo Marzuoli, Roser Matamala, Stefan Metzger, Leonardo Montagnani, Giacomo Nicolini, Thomas O'Halloran, Jean-Marc Ourcival, Matthias Peichl, Elise Pendall, Borja Ruiz Reverter, Marilyn Roland, Simone Sabbatini, Torsten Sachs, Marius Schmidt, Christopher R. Schwalm, Ankit Shekhar, Richard Silberstein, Maria Lucia Silveira, Donatella Spano, Torbern Tagesson, Gianluca Tramontana, Carlo Trotta, Fabio Turco, Timo Vesala, Caroline Vincke, Domenico Vitale, Enrique R. Vivoni, Yi Wang, William Woodgate, Enrico A. Yepez, Junhui Zhang, Donatella Zona, and Martin Jung
EGUsphere, https://doi.org/10.5194/egusphere-2024-165, https://doi.org/10.5194/egusphere-2024-165, 2024
Short summary
Short summary
The movement of water, carbon, and energy from the earth surface to the atmosphere, or flux, is an important process to understand that impacts all of our lives. Here we outline a method to estimate global water and CO2 fluxes based on direct measurements from site around the world called FLUXCOM-X. We go on to demonstrate how these new estimates of net CO2 uptake/loss, gross CO2 uptake, total water evaporation, and transpiration from plants compare to previous and independent estimates.
Sandra Raab, Karel Castro-Morales, Anke Hildebrandt, Martin Heimann, Jorien Elisabeth Vonk, Nikita Zimov, and Mathias Goeckede
Biogeosciences Discuss., https://doi.org/10.5194/bg-2023-156, https://doi.org/10.5194/bg-2023-156, 2023
Revised manuscript accepted for BG
Short summary
Short summary
Water status is an important control factor on sustainability of Arctic permafrost soils, including production and transport of carbon. We compared a drained permafrost ecosystem with a natural control area, investigating water levels, thaw depths, and lateral water flows. We found that shifts in water levels following drainage affected carbon processes and that lateral transport patterns were of major relevance. Understanding these shifts is crucial for future carbon budget studies.
Peter Stimmler, Mathias Goeckede, Bo Elberling, Susan Natali, Peter Kuhry, Nia Perron, Fabrice Lacroix, Gustaf Hugelius, Oliver Sonnentag, Jens Strauss, Christina Minions, Michael Sommer, and Jörg Schaller
Earth Syst. Sci. Data, 15, 1059–1075, https://doi.org/10.5194/essd-15-1059-2023, https://doi.org/10.5194/essd-15-1059-2023, 2023
Short summary
Short summary
Arctic soils store large amounts of carbon and nutrients. The availability of nutrients, such as silicon, calcium, iron, aluminum, phosphorus, and amorphous silica, is crucial to understand future carbon fluxes in the Arctic. Here, we provide, for the first time, a unique dataset of the availability of the abovementioned nutrients for the different soil layers, including the currently frozen permafrost layer. We relate these data to several geographical and geological parameters.
Karel Castro-Morales, Anna Canning, Sophie Arzberger, Will A. Overholt, Kirsten Küsel, Olaf Kolle, Mathias Göckede, Nikita Zimov, and Arne Körtzinger
Biogeosciences, 19, 5059–5077, https://doi.org/10.5194/bg-19-5059-2022, https://doi.org/10.5194/bg-19-5059-2022, 2022
Short summary
Short summary
Permafrost thaw releases methane that can be emitted into the atmosphere or transported by Arctic rivers. Methane measurements are lacking in large Arctic river regions. In the Kolyma River (northeast Siberia), we measured dissolved methane to map its distribution with great spatial detail. The river’s edge and river junctions had the highest methane concentrations compared to other river areas. Microbial communities in the river showed that the river’s methane likely is from the adjacent land.
Bruna R. F. Oliveira, Jan J. Keizer, and Thomas Foken
Biogeosciences, 19, 2235–2243, https://doi.org/10.5194/bg-19-2235-2022, https://doi.org/10.5194/bg-19-2235-2022, 2022
Short summary
Short summary
This study analyzes the impacts of this windthrow on the aerodynamic characteristics of zero-plane displacement and roughness length and, ultimately, their implications for the turbulent fluxes. The turbulent fluxes were only affected to a minor degree by the windthrow, but the footprint area of the flux tower changed markedly so that the target area of the measurements had to be redetermined.
Wolfgang Fischer, Christoph K. Thomas, Nikita Zimov, and Mathias Göckede
Biogeosciences, 19, 1611–1633, https://doi.org/10.5194/bg-19-1611-2022, https://doi.org/10.5194/bg-19-1611-2022, 2022
Short summary
Short summary
Arctic permafrost ecosystems may release large amounts of carbon under warmer future climates and may therefore accelerate global climate change. Our study investigated how long-term grazing by large animals influenced ecosystem characteristics and carbon budgets at a Siberian permafrost site. Our results demonstrate that such management can contribute to stabilizing ecosystems to keep carbon in the ground, particularly through drying soils and reducing methane emissions.
Martijn M. T. A. Pallandt, Jitendra Kumar, Marguerite Mauritz, Edward A. G. Schuur, Anna-Maria Virkkala, Gerardo Celis, Forrest M. Hoffman, and Mathias Göckede
Biogeosciences, 19, 559–583, https://doi.org/10.5194/bg-19-559-2022, https://doi.org/10.5194/bg-19-559-2022, 2022
Short summary
Short summary
Thawing of Arctic permafrost soils could trigger the release of vast amounts of carbon to the atmosphere, thus enhancing climate change. Our study investigated how well the current network of eddy covariance sites to monitor greenhouse gas exchange at local scales captures pan-Arctic flux patterns. We identified large coverage gaps, e.g., in Siberia, but also demonstrated that a targeted addition of relatively few sites can significantly improve network performance.
Anna-Maria Virkkala, Susan M. Natali, Brendan M. Rogers, Jennifer D. Watts, Kathleen Savage, Sara June Connon, Marguerite Mauritz, Edward A. G. Schuur, Darcy Peter, Christina Minions, Julia Nojeim, Roisin Commane, Craig A. Emmerton, Mathias Goeckede, Manuel Helbig, David Holl, Hiroki Iwata, Hideki Kobayashi, Pasi Kolari, Efrén López-Blanco, Maija E. Marushchak, Mikhail Mastepanov, Lutz Merbold, Frans-Jan W. Parmentier, Matthias Peichl, Torsten Sachs, Oliver Sonnentag, Masahito Ueyama, Carolina Voigt, Mika Aurela, Julia Boike, Gerardo Celis, Namyi Chae, Torben R. Christensen, M. Syndonia Bret-Harte, Sigrid Dengel, Han Dolman, Colin W. Edgar, Bo Elberling, Eugenie Euskirchen, Achim Grelle, Juha Hatakka, Elyn Humphreys, Järvi Järveoja, Ayumi Kotani, Lars Kutzbach, Tuomas Laurila, Annalea Lohila, Ivan Mammarella, Yojiro Matsuura, Gesa Meyer, Mats B. Nilsson, Steven F. Oberbauer, Sang-Jong Park, Roman Petrov, Anatoly S. Prokushkin, Christopher Schulze, Vincent L. St. Louis, Eeva-Stiina Tuittila, Juha-Pekka Tuovinen, William Quinton, Andrej Varlagin, Donatella Zona, and Viacheslav I. Zyryanov
Earth Syst. Sci. Data, 14, 179–208, https://doi.org/10.5194/essd-14-179-2022, https://doi.org/10.5194/essd-14-179-2022, 2022
Short summary
Short summary
The effects of climate warming on carbon cycling across the Arctic–boreal zone (ABZ) remain poorly understood due to the relatively limited distribution of ABZ flux sites. Fortunately, this flux network is constantly increasing, but new measurements are published in various platforms, making it challenging to understand the ABZ carbon cycle as a whole. Here, we compiled a new database of Arctic–boreal CO2 fluxes to help facilitate large-scale assessments of the ABZ carbon cycle.
Katharina Jentzsch, Julia Boike, and Thomas Foken
Atmos. Meas. Tech., 14, 7291–7296, https://doi.org/10.5194/amt-14-7291-2021, https://doi.org/10.5194/amt-14-7291-2021, 2021
Short summary
Short summary
Very small CO2 fluxes are measured at night in Arctic regions. If the sensible heat flux is not close to zero under these conditions, the WPL correction will take values on the order of the flux. A special quality control is proposed for these cases.
Torben Windirsch, Guido Grosse, Mathias Ulrich, Bruce C. Forbes, Mathias Göckede, Juliane Wolter, Marc Macias-Fauria, Johan Olofsson, Nikita Zimov, and Jens Strauss
Biogeosciences Discuss., https://doi.org/10.5194/bg-2021-227, https://doi.org/10.5194/bg-2021-227, 2021
Revised manuscript not accepted
Short summary
Short summary
With global warming, permafrost thaw and associated carbon release are of increasing importance. We examined how large herbivorous animals affect Arctic landscapes and how they might contribute to reduction of these emissions. We show that over a short timespan of roughly 25 years, these animals have already changed the vegetation and landscape. On pastures in a permafrost area in Siberia we found smaller thaw depth and higher carbon content than in surrounding non-pasture areas.
Kyle B. Delwiche, Sara Helen Knox, Avni Malhotra, Etienne Fluet-Chouinard, Gavin McNicol, Sarah Feron, Zutao Ouyang, Dario Papale, Carlo Trotta, Eleonora Canfora, You-Wei Cheah, Danielle Christianson, Ma. Carmelita R. Alberto, Pavel Alekseychik, Mika Aurela, Dennis Baldocchi, Sheel Bansal, David P. Billesbach, Gil Bohrer, Rosvel Bracho, Nina Buchmann, David I. Campbell, Gerardo Celis, Jiquan Chen, Weinan Chen, Housen Chu, Higo J. Dalmagro, Sigrid Dengel, Ankur R. Desai, Matteo Detto, Han Dolman, Elke Eichelmann, Eugenie Euskirchen, Daniela Famulari, Kathrin Fuchs, Mathias Goeckede, Sébastien Gogo, Mangaliso J. Gondwe, Jordan P. Goodrich, Pia Gottschalk, Scott L. Graham, Martin Heimann, Manuel Helbig, Carole Helfter, Kyle S. Hemes, Takashi Hirano, David Hollinger, Lukas Hörtnagl, Hiroki Iwata, Adrien Jacotot, Gerald Jurasinski, Minseok Kang, Kuno Kasak, John King, Janina Klatt, Franziska Koebsch, Ken W. Krauss, Derrick Y. F. Lai, Annalea Lohila, Ivan Mammarella, Luca Belelli Marchesini, Giovanni Manca, Jaclyn Hatala Matthes, Trofim Maximov, Lutz Merbold, Bhaskar Mitra, Timothy H. Morin, Eiko Nemitz, Mats B. Nilsson, Shuli Niu, Walter C. Oechel, Patricia Y. Oikawa, Keisuke Ono, Matthias Peichl, Olli Peltola, Michele L. Reba, Andrew D. Richardson, William Riley, Benjamin R. K. Runkle, Youngryel Ryu, Torsten Sachs, Ayaka Sakabe, Camilo Rey Sanchez, Edward A. Schuur, Karina V. R. Schäfer, Oliver Sonnentag, Jed P. Sparks, Ellen Stuart-Haëntjens, Cove Sturtevant, Ryan C. Sullivan, Daphne J. Szutu, Jonathan E. Thom, Margaret S. Torn, Eeva-Stiina Tuittila, Jessica Turner, Masahito Ueyama, Alex C. Valach, Rodrigo Vargas, Andrej Varlagin, Alma Vazquez-Lule, Joseph G. Verfaillie, Timo Vesala, George L. Vourlitis, Eric J. Ward, Christian Wille, Georg Wohlfahrt, Guan Xhuan Wong, Zhen Zhang, Donatella Zona, Lisamarie Windham-Myers, Benjamin Poulter, and Robert B. Jackson
Earth Syst. Sci. Data, 13, 3607–3689, https://doi.org/10.5194/essd-13-3607-2021, https://doi.org/10.5194/essd-13-3607-2021, 2021
Short summary
Short summary
Methane is an important greenhouse gas, yet we lack knowledge about its global emissions and drivers. We present FLUXNET-CH4, a new global collection of methane measurements and a critical resource for the research community. We use FLUXNET-CH4 data to quantify the seasonality of methane emissions from freshwater wetlands, finding that methane seasonality varies strongly with latitude. Our new database and analysis will improve wetland model accuracy and inform greenhouse gas budgets.
Bruna R. F. Oliveira, Carsten Schaller, J. Jacob Keizer, and Thomas Foken
Biogeosciences, 18, 285–302, https://doi.org/10.5194/bg-18-285-2021, https://doi.org/10.5194/bg-18-285-2021, 2021
Short summary
Short summary
Forest fires have a significant impact on carbon dioxide emissions. The present study from a pine forest in Portugal is one of the few where measurements of CO2 fluxes were started immediately (1.5 months) after the forest fire. Carbon dioxide emissions were linked to soil humidity. Therefore, they started after the beginning of the rainfall in autumn. Due to the beginning of vegetation, the site was already a carbon dioxide sink the following year.
Friedemann Reum, Mathias Göckede, Jost V. Lavric, Olaf Kolle, Sergey Zimov, Nikita Zimov, Martijn Pallandt, and Martin Heimann
Atmos. Meas. Tech., 12, 5717–5740, https://doi.org/10.5194/amt-12-5717-2019, https://doi.org/10.5194/amt-12-5717-2019, 2019
Short summary
Short summary
We present continuous in situ measurements of atmospheric CO2 and CH4 mole fractions at the new station Ambarchik, located in northeastern Siberia. We describe the site, measurements and quality control, characterize the signals in comparison with data from Barrow, Alaska, and show which regions the measurements are sensitive to. Ambarchik data are available upon request.
Olli Peltola, Timo Vesala, Yao Gao, Olle Räty, Pavel Alekseychik, Mika Aurela, Bogdan Chojnicki, Ankur R. Desai, Albertus J. Dolman, Eugenie S. Euskirchen, Thomas Friborg, Mathias Göckede, Manuel Helbig, Elyn Humphreys, Robert B. Jackson, Georg Jocher, Fortunat Joos, Janina Klatt, Sara H. Knox, Natalia Kowalska, Lars Kutzbach, Sebastian Lienert, Annalea Lohila, Ivan Mammarella, Daniel F. Nadeau, Mats B. Nilsson, Walter C. Oechel, Matthias Peichl, Thomas Pypker, William Quinton, Janne Rinne, Torsten Sachs, Mateusz Samson, Hans Peter Schmid, Oliver Sonnentag, Christian Wille, Donatella Zona, and Tuula Aalto
Earth Syst. Sci. Data, 11, 1263–1289, https://doi.org/10.5194/essd-11-1263-2019, https://doi.org/10.5194/essd-11-1263-2019, 2019
Short summary
Short summary
Here we develop a monthly gridded dataset of northern (> 45 N) wetland methane (CH4) emissions. The data product is derived using a random forest machine-learning technique and eddy covariance CH4 fluxes from 25 wetland sites. Annual CH4 emissions from these wetlands calculated from the derived data product are comparable to prior studies focusing on these areas. This product is an independent estimate of northern wetland CH4 emissions and hence could be used, e.g. for process model evaluation.
Mathias Göckede, Fanny Kittler, and Carsten Schaller
Biogeosciences, 16, 3113–3131, https://doi.org/10.5194/bg-16-3113-2019, https://doi.org/10.5194/bg-16-3113-2019, 2019
Short summary
Short summary
Methane is one of the most important greenhouse gases. Methane emissions from land sources to the atmosphere often occur in the form of short but intense outbursts, which are difficult to measure. We developed a new software tool based on wavelets which reliably quantifies such methane outbursts. Using these results as a reference, our study shows that regular data processing using the eddy-covariance technique provides solid long-term methane budgets, but short-term uncertainties can be high.
Norman Rößger, Christian Wille, David Holl, Mathias Göckede, and Lars Kutzbach
Biogeosciences, 16, 2591–2615, https://doi.org/10.5194/bg-16-2591-2019, https://doi.org/10.5194/bg-16-2591-2019, 2019
Friedemann Reum, Christoph Gerbig, Jost V. Lavric, Chris W. Rella, and Mathias Göckede
Atmos. Meas. Tech., 12, 1013–1027, https://doi.org/10.5194/amt-12-1013-2019, https://doi.org/10.5194/amt-12-1013-2019, 2019
Short summary
Short summary
Atmospheric CO2 and CH4 mole fractions are often measured using greenhouse gas analyzers manufactured by Picarro, Inc. We report biases in these measurements that are related to pressure changes in the optical cavity of the analyzers and occur mainly at low water vapor mole fractions. We provide a method to correct the biases, which contributes to keeping the overall accuracy of CO2 and CH4 measurements with Picarro analyzers within the WMO interlaboratory compatibility goals.
Thomas Foken, Wolfgang Babel, and Christoph Thomas
Atmos. Meas. Tech., 12, 971–976, https://doi.org/10.5194/amt-12-971-2019, https://doi.org/10.5194/amt-12-971-2019, 2019
Short summary
Short summary
Recently reported trends of carbon dioxide uptake pose the question of whether trends may be the result of the limited digitalization of gas analysers and sonic anemometers used in the 1990s. Modifying a 12 bit digitalization and the instrument error reported for the R2 and R3 sonic anemometers found elsewhere, the influence of these deficits in comparison to the now commonly used 16 bit digitalization were quantified. Both issues have an effect only on trace gas fluxes of small magnitude.
Kathrin Gatzsche, Wolfgang Babel, Eva Falge, Rex David Pyles, Kyaw Tha Paw U, Armin Raabe, and Thomas Foken
Biogeosciences, 15, 2945–2960, https://doi.org/10.5194/bg-15-2945-2018, https://doi.org/10.5194/bg-15-2945-2018, 2018
Short summary
Short summary
The ecosystem is a significant sink of carbon dioxide. To quantify this sink, very complex and validated models are required. However, the comparison of modeled and measured energy and matter fluxes in a heterogeneous landscape is still a challenge. On the one hand, models must be applied for various surface types, while on the other hand the comparison of the fluxes is only possible based on the flux source areas. This paper treats the potential aggregation of modeled fluxes and its validation.
Karel Castro-Morales, Thomas Kleinen, Sonja Kaiser, Sönke Zaehle, Fanny Kittler, Min Jung Kwon, Christian Beer, and Mathias Göckede
Biogeosciences, 15, 2691–2722, https://doi.org/10.5194/bg-15-2691-2018, https://doi.org/10.5194/bg-15-2691-2018, 2018
Short summary
Short summary
We present year-round methane emissions from wetlands in Northeast Siberia that were simulated with a land surface model. Ground-based flux measurements from the same area were used for evaluation of the model results, finding a best agreement with the observations in the summertime emissions that take place in this region predominantly through plants. During winter, methane emissions through the snow contribute 4 % of the total annual methane budget, but these are still underestimated.
Mathias Göckede, Fanny Kittler, Min Jung Kwon, Ina Burjack, Martin Heimann, Olaf Kolle, Nikita Zimov, and Sergey Zimov
The Cryosphere, 11, 2975–2996, https://doi.org/10.5194/tc-11-2975-2017, https://doi.org/10.5194/tc-11-2975-2017, 2017
Short summary
Short summary
Shifts in hydrologic conditions will be a key factor for the sustainability of Arctic ecosystems under future climate change. Using a long-term manipulation experiment, we analyzed how energy exchange processes within a permafrost ecosystem react to sustained dry conditions. Changes in several important ecosystem characteristics lead to reduced evapotranspiration and increased sensible heat fluxes. Heat transfer into the soil was strongly reduced, keeping the permafrost colder.
Friedemann Reum, Christoph Gerbig, Jost V. Lavric, Chris W. Rella, and Mathias Göckede
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2017-174, https://doi.org/10.5194/amt-2017-174, 2017
Revised manuscript not accepted
Short summary
Short summary
High-accuracy observations of atmospheric CO2 and CH4 levels, which are vital for quantifying sources and sinks of these gases, are often obtained using Picarro greenhouse gas analyzers. These require a correction for the effects of water vapor. We report biases in CO2 and CH4 levels obtained using the traditional water correction for Picarro analyzers related to pressure changes in the optical cavity and mainly affecting measurements at low water vapor mole fractions, and how to correct them.
Carsten Schaller, Mathias Göckede, and Thomas Foken
Atmos. Meas. Tech., 10, 869–880, https://doi.org/10.5194/amt-10-869-2017, https://doi.org/10.5194/amt-10-869-2017, 2017
Short summary
Short summary
The eddy covariance (EC) method allows for measuring and calculating vertical turbulent exchange fluxes between ecosystems and the atmosphere. It fails in non-steady-state flow conditions, e.g. in Arctic regions. Two alternative calculation methods, conditional sampling and wavelet analysis, were implemented and compared to EC. Wavelet analysis for allows calculating a trustworthy flux even in non-stationary times and offers new possibilities for exact flux calculation in difficult environments.
Sonja Kaiser, Mathias Göckede, Karel Castro-Morales, Christian Knoblauch, Altug Ekici, Thomas Kleinen, Sebastian Zubrzycki, Torsten Sachs, Christian Wille, and Christian Beer
Geosci. Model Dev., 10, 333–358, https://doi.org/10.5194/gmd-10-333-2017, https://doi.org/10.5194/gmd-10-333-2017, 2017
Short summary
Short summary
A new consistent, process-based methane module that is integrated with permafrost processes is presented. It was developed within a global land surface scheme and evaluated at a polygonal tundra site in Samoylov, Russia. The calculated methane emissions show fair agreement with field data and capture detailed differences between the explicitly modelled gas transport processes and in the gas dynamics under varying soil water and temperature conditions during seasons and on different microsites.
Fanny Kittler, Ina Burjack, Chiara A. R. Corradi, Martin Heimann, Olaf Kolle, Lutz Merbold, Nikita Zimov, Sergey Zimov, and Mathias Göckede
Biogeosciences, 13, 5315–5332, https://doi.org/10.5194/bg-13-5315-2016, https://doi.org/10.5194/bg-13-5315-2016, 2016
Short summary
Short summary
We compared growing season CO2 fluxes of a wet tussock tundra ecosystem from an area affected by decadal drainage and an undisturbed area on the Kolyma floodplain in northeastern Siberia. The results show systematically reduced CO2 uptake within the drained area, caused by increased respiration, and that the local permafrost ecosystem is capable of adapting to significantly different hydrologic conditions without losing its capacity to act as a net sink for CO2.
Yiying Chen, James Ryder, Vladislav Bastrikov, Matthew J. McGrath, Kim Naudts, Juliane Otto, Catherine Ottlé, Philippe Peylin, Jan Polcher, Aude Valade, Andrew Black, Jan A. Elbers, Eddy Moors, Thomas Foken, Eva van Gorsel, Vanessa Haverd, Bernard Heinesch, Frank Tiedemann, Alexander Knohl, Samuli Launiainen, Denis Loustau, Jérôme Ogée, Timo Vessala, and Sebastiaan Luyssaert
Geosci. Model Dev., 9, 2951–2972, https://doi.org/10.5194/gmd-9-2951-2016, https://doi.org/10.5194/gmd-9-2951-2016, 2016
Short summary
Short summary
In this study, we compiled a set of within-canopy and above-canopy measurements of energy and water fluxes, and used these data to parametrize and validate the new multi-layer energy budget scheme for a range of forest types. An adequate parametrization approach has been presented for the global-scale land surface model (ORCHIDEE-CAN). Furthermore, model performance of the new multi-layer parametrization was compared against the existing single-layer scheme.
Min Jung Kwon, Martin Heimann, Olaf Kolle, Kristina A. Luus, Edward A. G. Schuur, Nikita Zimov, Sergey A. Zimov, and Mathias Göckede
Biogeosciences, 13, 4219–4235, https://doi.org/10.5194/bg-13-4219-2016, https://doi.org/10.5194/bg-13-4219-2016, 2016
Short summary
Short summary
A decade-long drainage on an Arctic floodplain has altered dominant plant species and soil temperature regimes. Consequently, CO2 exchange rates between the atmosphere and the terrestrial ecosystem were modified: CO2 uptake rates by the terrestrial ecosystem decreased and CO2 emission rates to the atmosphere increased. Ongoing global warming may thaw ice-rich permafrost and make some regions drier in the Arctic, and this will reduce carbon accumulation in the terrestrial ecosystem.
T. Gerken, W. Babel, M. Herzog, K. Fuchs, F. Sun, Y. Ma, T. Foken, and H.-F. Graf
Hydrol. Earth Syst. Sci., 19, 4023–4040, https://doi.org/10.5194/hess-19-4023-2015, https://doi.org/10.5194/hess-19-4023-2015, 2015
Short summary
Short summary
Surface moisture is an important control for the development of clouds and precipitation on the Tibetan Plateau. While dry surface conditions do not provided enough water for the development of precipitation and convection, wet surface conditions lead to increased cloud cover and a decrease in solar irradiation, which also reduces convection development. It was found that intermediate soil moistures are associated with the strongest convection.
A. Moravek, P. Stella, T. Foken, and I. Trebs
Atmos. Chem. Phys., 15, 899–911, https://doi.org/10.5194/acp-15-899-2015, https://doi.org/10.5194/acp-15-899-2015, 2015
M. Riederer, J. Hübner, J. Ruppert, W. A. Brand, and T. Foken
Atmos. Meas. Tech., 7, 4237–4250, https://doi.org/10.5194/amt-7-4237-2014, https://doi.org/10.5194/amt-7-4237-2014, 2014
Short summary
Short summary
The REA technique cannot be applied on grassland shortly after management without the risk of REA-flux errors due to large uncertainties of b-factors and lacking scalar similarity.
The NEE flux partitioning model based on REA measurement results is complex but can enhance results of common partitioning by considering ecosystem discrimination of 13C and wind velocity.
W. Babel, T. Biermann, H. Coners, E. Falge, E. Seeber, J. Ingrisch, P.-M. Schleuß, T. Gerken, J. Leonbacher, T. Leipold, S. Willinghöfer, K. Schützenmeister, O. Shibistova, L. Becker, S. Hafner, S. Spielvogel, X. Li, X. Xu, Y. Sun, L. Zhang, Y. Yang, Y. Ma, K. Wesche, H.-F. Graf, C. Leuschner, G. Guggenberger, Y. Kuzyakov, G. Miehe, and T. Foken
Biogeosciences, 11, 6633–6656, https://doi.org/10.5194/bg-11-6633-2014, https://doi.org/10.5194/bg-11-6633-2014, 2014
J. Hübner, J. Olesch, H. Falke, F. X. Meixner, and T. Foken
Atmos. Meas. Tech., 7, 2967–2980, https://doi.org/10.5194/amt-7-2967-2014, https://doi.org/10.5194/amt-7-2967-2014, 2014
A. Moravek, T. Foken, and I. Trebs
Atmos. Meas. Tech., 7, 2097–2119, https://doi.org/10.5194/amt-7-2097-2014, https://doi.org/10.5194/amt-7-2097-2014, 2014
M. Riederer, A. Serafimovich, and T. Foken
Atmos. Meas. Tech., 7, 1057–1064, https://doi.org/10.5194/amt-7-1057-2014, https://doi.org/10.5194/amt-7-1057-2014, 2014
P. Stella, M. Kortner, C. Ammann, T. Foken, F. X. Meixner, and I. Trebs
Biogeosciences, 10, 5997–6017, https://doi.org/10.5194/bg-10-5997-2013, https://doi.org/10.5194/bg-10-5997-2013, 2013
S. Metzger, W. Junkermann, M. Mauder, K. Butterbach-Bahl, B. Trancón y Widemann, F. Neidl, K. Schäfer, S. Wieneke, X. H. Zheng, H. P. Schmid, and T. Foken
Biogeosciences, 10, 2193–2217, https://doi.org/10.5194/bg-10-2193-2013, https://doi.org/10.5194/bg-10-2193-2013, 2013
M. Li, W. Babel, K. Tanaka, and T. Foken
Atmos. Meas. Tech., 6, 221–229, https://doi.org/10.5194/amt-6-221-2013, https://doi.org/10.5194/amt-6-221-2013, 2013
Related subject area
Subject: Biosphere Interactions | Research Activity: Field Measurements | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Dynamics of aerosol, humidity, and clouds in air masses travelling over Fennoscandian boreal forests
Residence times of air in a mature forest: observational evidence from a free-air CO2 enrichment experiment
Energy and mass exchange at an urban site in mountainous terrain – the Alpine city of Innsbruck
Observations of aerosol–vapor pressure deficit–evaporative fraction coupling over India
Biogeochemical and biophysical responses to episodes of wildfire smoke from natural ecosystems in southwestern British Columbia, Canada
Traces of urban forest in temperature and CO2 signals in monsoon East Asia
Technical note: Uncertainties in eddy covariance CO2 fluxes in a semiarid sagebrush ecosystem caused by gap-filling approaches
Simulating the spatiotemporal variations in aboveground biomass in Inner Mongolian grasslands under environmental changes
Concentrations and biosphere–atmosphere fluxes of inorganic trace gases and associated ionic aerosol counterparts over the Amazon rainforest
Characterization of the radiative impact of aerosols on CO2 and energy fluxes in the Amazon deforestation arch using artificial neural networks
New particle formation events observed at the King Sejong Station, Antarctic Peninsula – Part 2: Link with the oceanic biological activities
Vertical observations of the atmospheric boundary layer structure over Beijing urban area during air pollution episodes
Characterization of ozone deposition to a mixed oak–hornbeam forest – flux measurements at five levels above and inside the canopy and their interactions with nitric oxide
Direct effect of aerosols on solar radiation and gross primary production in boreal and hemiboreal forests
The monsoon effect on energy and carbon exchange processes over a highland lake in the southwest of China
Turbulent transport of energy across a forest and a semiarid shrubland
Study of the daily and seasonal atmospheric CH4 mixing ratio variability in a rural Spanish region using 222Rn tracer
Nighttime wind and scalar variability within and above an Amazonian canopy
Estimating regional-scale methane flux and budgets using CARVE aircraft measurements over Alaska
Canopy uptake dominates nighttime carbonyl sulfide fluxes in a boreal forest
Net ecosystem exchange and energy fluxes measured with the eddy covariance technique in a western Siberian bog
Biophysical effects on the interannual variation in carbon dioxide exchange of an alpine meadow on the Tibetan Plateau
Quantifying the contribution of land use change to surface temperature in the lower reaches of the Yangtze River
Overview of mercury dry deposition, litterfall, and throughfall studies
Scalar turbulent behavior in the roughness sublayer of an Amazonian forest
Surface–atmosphere exchange of ammonia over peatland using QCL-based eddy-covariance measurements and inferential modeling
Characterization of total ecosystem-scale biogenic VOC exchange at a Mediterranean oak–hornbeam forest
Are BVOC exchanges in agricultural ecosystems overestimated? Insights from fluxes measured in a maize field over a whole growing season
Step changes in persistent organic pollutants over the Arctic and their implications
Estimating surface fluxes using eddy covariance and numerical ogive optimization
Nitrous oxide emissions from a commercial cornfield (Zea mays) measured using the eddy covariance technique
Observations of the scale-dependent turbulence and evaluation of the flux–gradient relationship for sensible heat for a closed Douglas-fir canopy in very weak wind conditions
The effect of atmospheric aerosol particles and clouds on net ecosystem exchange in the Amazon
Acetaldehyde exchange above a managed temperate mountain grassland
Surface response to rain events throughout the West African monsoon
The role of vegetation in the CO2 flux from a tropical urban neighbourhood
Air-surface exchange measurements of gaseous elemental mercury over naturally enriched and background terrestrial landscapes in Australia
Four-year (2006–2009) eddy covariance measurements of CO2 flux over an urban area in Beijing
Momentum and scalar transport within a vegetation canopy following atmospheric stability and seasonal canopy changes: the CHATS experiment
Coupling processes and exchange of energy and reactive and non-reactive trace gases at a forest site – results of the EGER experiment
Abiotic and biotic control of methanol exchanges in a temperate mixed forest
Analysis of coherent structures and atmosphere-canopy coupling strength during the CABINEX field campaign
Methane flux, vertical gradient and mixing ratio measurements in a tropical forest
The effects of clouds and aerosols on net ecosystem CO2 exchange over semi-arid Loess Plateau of Northwest China
Size-dependent aerosol deposition velocities during BEARPEX'07
Day-time concentrations of biogenic volatile organic compounds in a boreal forest canopy and their relation to environmental and biological factors
Meri Räty, Larisa Sogacheva, Helmi-Marja Keskinen, Veli-Matti Kerminen, Tuomo Nieminen, Tuukka Petäjä, Ekaterina Ezhova, and Markku Kulmala
Atmos. Chem. Phys., 23, 3779–3798, https://doi.org/10.5194/acp-23-3779-2023, https://doi.org/10.5194/acp-23-3779-2023, 2023
Short summary
Short summary
We utilised back trajectories to identify the source region of air masses arriving in Hyytiälä, Finland, and their travel time over forests. Combined with atmospheric observations, they revealed how air mass transport over the Fennoscandian boreal forest during the growing season produced an accumulation of cloud condensation nuclei and humidity, promoting cloudiness and precipitation. By 55 h of transport, air masses appeared to reach a balanced state with the forest environment.
Edward J. Bannister, Mike Jesson, Nicholas J. Harper, Kris M. Hart, Giulio Curioni, Xiaoming Cai, and A. Rob MacKenzie
Atmos. Chem. Phys., 23, 2145–2165, https://doi.org/10.5194/acp-23-2145-2023, https://doi.org/10.5194/acp-23-2145-2023, 2023
Short summary
Short summary
In forests, the residence time of air influences canopy chemistry and atmospheric exchange. However, there have been few field observations. We use long-term open-air CO2 enrichment measurements to show median daytime residence times are twice as long when the trees are in leaf versus when they are not. Residence times increase with increasing atmospheric stability and scale inversely with turbulence. Robust parametrisations for large-scale models are available using common distributions.
Helen Claire Ward, Mathias Walter Rotach, Alexander Gohm, Martin Graus, Thomas Karl, Maren Haid, Lukas Umek, and Thomas Muschinski
Atmos. Chem. Phys., 22, 6559–6593, https://doi.org/10.5194/acp-22-6559-2022, https://doi.org/10.5194/acp-22-6559-2022, 2022
Short summary
Short summary
This study examines how cities and their surroundings influence turbulent exchange processes responsible for weather and climate. Analysis of a 4-year observational dataset for the Alpine city of Innsbruck reveals several similarities with other (flat) city centre sites. However, the mountain setting leads to characteristic daily and seasonal flow patterns (valley winds) and downslope windstorms that have a marked effect on temperature, wind speed, turbulence and pollutant concentration.
Chandan Sarangi, TC Chakraborty, Sachchidanand Tripathi, Mithun Krishnan, Ross Morrison, Jonathan Evans, and Lina M. Mercado
Atmos. Chem. Phys., 22, 3615–3629, https://doi.org/10.5194/acp-22-3615-2022, https://doi.org/10.5194/acp-22-3615-2022, 2022
Short summary
Short summary
Transpiration fluxes by vegetation are reduced under heat stress to conserve water. However, in situ observations over northern India show that the strength of the inverse association between transpiration and atmospheric vapor pressure deficit is weakening in the presence of heavy aerosol loading. This finding not only implicates the significant role of aerosols in modifying the evaporative fraction (EF) but also warrants an in-depth analysis of the aerosol–plant–temperature–EF continuum.
Sung-Ching Lee, Sara H. Knox, Ian McKendry, and T. Andrew Black
Atmos. Chem. Phys., 22, 2333–2349, https://doi.org/10.5194/acp-22-2333-2022, https://doi.org/10.5194/acp-22-2333-2022, 2022
Short summary
Short summary
Wildfire smoke alters land–atmosphere exchange. Here, measurements in a forest and a wetland during four smoke episodes over four summers showed that impacts on radiation and heat budget were the greatest when smoke arrived in late summer. Both sites sequestered more CO2 under smoky days, partly due to diffuse light, but emitted CO2 when smoke was dense. This kind of field study is important for validating predictions of smoke–productivity feedbacks and has climate change implications.
Keunmin Lee, Je-Woo Hong, Jeongwon Kim, Sungsoo Jo, and Jinkyu Hong
Atmos. Chem. Phys., 21, 17833–17853, https://doi.org/10.5194/acp-21-17833-2021, https://doi.org/10.5194/acp-21-17833-2021, 2021
Short summary
Short summary
This study examine two benefits of urban forest, thermal mitigation and carbon uptake. Our analysis indicates that the urban forest reduces both the warming trend and urban heat island intensity. Urban forest is a net CO2 source despite larger photosynthetic carbon uptake because of strong contribution of ecosystem respiration, which can be attributed to the substantial amount of soil organic carbon by intensive historical soil use and warm temperature in a city.
Jingyu Yao, Zhongming Gao, Jianping Huang, Heping Liu, and Guoyin Wang
Atmos. Chem. Phys., 21, 15589–15603, https://doi.org/10.5194/acp-21-15589-2021, https://doi.org/10.5194/acp-21-15589-2021, 2021
Short summary
Short summary
Gap-filling usually accounts for a large source of uncertainties in the annual CO2 fluxes, though gap-filling CO2 fluxes is challenging at dryland sites due to small fluxes. Using data collected from a semiarid site, four machine learning methods are evaluated with different lengths of artificial gaps. The artificial neural network and random forest methods outperform the other methods. With these methods, uncertainties in the annual CO2 flux at this site are estimated to be within 16 g C m−2.
Guocheng Wang, Zhongkui Luo, Yao Huang, Wenjuan Sun, Yurong Wei, Liujun Xiao, Xi Deng, Jinhuan Zhu, Tingting Li, and Wen Zhang
Atmos. Chem. Phys., 21, 3059–3071, https://doi.org/10.5194/acp-21-3059-2021, https://doi.org/10.5194/acp-21-3059-2021, 2021
Short summary
Short summary
We simulate the spatiotemporal dynamics of aboveground biomass (AGB) in Inner Mongolian grasslands using a machine-learning-based approach. Under climate change, on average, compared with the historical AGB (average of 1981–2019), the AGB at the end of this century (average of 2080–2100) would decrease by 14 % under RCP4.5 and 28 % under RCP8.5. The decrease in AGB might be mitigated or even reversed by positive carbon dioxide enrichment effects on plant growth.
Robbie Ramsay, Chiara F. Di Marco, Matthias Sörgel, Mathew R. Heal, Samara Carbone, Paulo Artaxo, Alessandro C. de Araùjo, Marta Sá, Christopher Pöhlker, Jost Lavric, Meinrat O. Andreae, and Eiko Nemitz
Atmos. Chem. Phys., 20, 15551–15584, https://doi.org/10.5194/acp-20-15551-2020, https://doi.org/10.5194/acp-20-15551-2020, 2020
Short summary
Short summary
The Amazon rainforest is a unique
laboratoryto study the processes which govern the exchange of gases and aerosols to and from the atmosphere. This study investigated these processes by measuring the atmospheric concentrations of trace gases and particles at the Amazon Tall Tower Observatory. We found that the long-range transport of pollutants can affect the atmospheric composition above the Amazon rainforest and that the gases ammonia and nitrous acid can be emitted from the rainforest.
Renato Kerches Braghiere, Marcia Akemi Yamasoe, Nilton Manuel Évora do Rosário, Humberto Ribeiro da Rocha, José de Souza Nogueira, and Alessandro Carioca de Araújo
Atmos. Chem. Phys., 20, 3439–3458, https://doi.org/10.5194/acp-20-3439-2020, https://doi.org/10.5194/acp-20-3439-2020, 2020
Short summary
Short summary
We evaluate how the interaction of smoke with sun light impacts the exchange of energy and mass between vegetation and the atmosphere using a machine learning technique. We found an effect of the smoke on CO2, energy, and water fluxes, linking the effects of smoke with temperature, humidity, and winds. CO2 exchange increased by up to 55 % in the presence of smoke. A decrease of 12 % was observed for a site with simpler vegetation. Energy fluxes were negatively impacted for all study sites.
Eunho Jang, Ki-Tae Park, Young Jun Yoon, Tae-Wook Kim, Sang-Bum Hong, Silvia Becagli, Rita Traversi, Jaeseok Kim, and Yeontae Gim
Atmos. Chem. Phys., 19, 7595–7608, https://doi.org/10.5194/acp-19-7595-2019, https://doi.org/10.5194/acp-19-7595-2019, 2019
Short summary
Short summary
We reported long-term observations (from 2009 to 2016) of the nanoparticles measured at the Antarctic Peninsula (62.2° S, 58.8° W), and satellite-derived estimates of the biological characteristics were analyzed to identify the link between new particle formation and marine biota. The key finding from this research is that the formation of nanoparticles was strongly associated not only with the biomass of phytoplankton but, more importantly, also its taxonomic composition in the Antarctic Ocean.
Linlin Wang, Junkai Liu, Zhiqiu Gao, Yubin Li, Meng Huang, Sihui Fan, Xiaoye Zhang, Yuanjian Yang, Shiguang Miao, Han Zou, Yele Sun, Yong Chen, and Ting Yang
Atmos. Chem. Phys., 19, 6949–6967, https://doi.org/10.5194/acp-19-6949-2019, https://doi.org/10.5194/acp-19-6949-2019, 2019
Short summary
Short summary
Urban boundary layer (UBL) affects the physical and chemical processes of the pollutants, and UBL structure can also be altered by pollutants. This paper presents the interactions between air pollution and the UBL structure by using the field data mainly collected from a 325 m meteorology tower, as well as from a Doppler wind lidar, during a severe heavy pollution event that occurred during 1–4 December 2016 in Beijing.
Angelo Finco, Mhairi Coyle, Eiko Nemitz, Riccardo Marzuoli, Maria Chiesa, Benjamin Loubet, Silvano Fares, Eugenio Diaz-Pines, Rainer Gasche, and Giacomo Gerosa
Atmos. Chem. Phys., 18, 17945–17961, https://doi.org/10.5194/acp-18-17945-2018, https://doi.org/10.5194/acp-18-17945-2018, 2018
Short summary
Short summary
A 1-month field campaign of ozone (O3) flux measurements along a five-level vertical profile of a mature broadleaf forest highlighted that the biosphere–atmosphere exchange of this pollutant is modulated by complex diel dynamics occurring within and below the canopy. The canopy removed nearly 80 % of the O3 deposited to the forest; only a minor part was removed by the soil and the understorey (2 %), while the remaining 18.2 % was removed by chemical reactions with NO mostly emitted from soil.
Ekaterina Ezhova, Ilona Ylivinkka, Joel Kuusk, Kaupo Komsaare, Marko Vana, Alisa Krasnova, Steffen Noe, Mikhail Arshinov, Boris Belan, Sung-Bin Park, Jošt Valentin Lavrič, Martin Heimann, Tuukka Petäjä, Timo Vesala, Ivan Mammarella, Pasi Kolari, Jaana Bäck, Üllar Rannik, Veli-Matti Kerminen, and Markku Kulmala
Atmos. Chem. Phys., 18, 17863–17881, https://doi.org/10.5194/acp-18-17863-2018, https://doi.org/10.5194/acp-18-17863-2018, 2018
Short summary
Short summary
Understanding the connections between aerosols, solar radiation and photosynthesis in terrestrial ecosystems is important for estimates of the CO2 balance in the atmosphere. Atmospheric aerosols and clouds influence solar radiation. In this study, we quantify the aerosol effect on solar radiation in boreal forests and study forest ecosystems response to this change in the radiation conditions. The analysis is based on atmospheric observations from several remote stations in Eurasian forests.
Qun Du, Huizhi Liu, Lujun Xu, Yang Liu, and Lei Wang
Atmos. Chem. Phys., 18, 15087–15104, https://doi.org/10.5194/acp-18-15087-2018, https://doi.org/10.5194/acp-18-15087-2018, 2018
Short summary
Short summary
Erhai Lake is a subtropical highland shallow lake on the southeast margin of the Tibetan Plateau, which is influenced by both South Asian and East Asian summer monsoons. The substantial difference in atmospheric properties during monsoon and non-monsoon periods has a large effect in regulating turbulent heat and carbon dioxide exchange processes over Erhai Lake. Large difference are found for the factors controlling sensible heat and carbon dioxide flux during monsoon and non-monsoon periods.
Tirtha Banerjee, Peter Brugger, Frederik De Roo, Konstantin Kröniger, Dan Yakir, Eyal Rotenberg, and Matthias Mauder
Atmos. Chem. Phys., 18, 10025–10038, https://doi.org/10.5194/acp-18-10025-2018, https://doi.org/10.5194/acp-18-10025-2018, 2018
Short summary
Short summary
We studied the nature of turbulent transport over a well-defined surface heterogeneity (approximate scale 7 km) comprising a shrubland and a forest in the Yatir semiarid area in Israel. Using eddy covariance and Doppler lidar measurements, we studied the variations in the turbulent kinetic energy budget and turbulent fluxes, focusing especially on transport terms. We also confirmed the role of large-scale secondary circulations that transport energy between the shrubland and the forest.
Claudia Grossi, Felix R. Vogel, Roger Curcoll, Alba Àgueda, Arturo Vargas, Xavier Rodó, and Josep-Anton Morguí
Atmos. Chem. Phys., 18, 5847–5860, https://doi.org/10.5194/acp-18-5847-2018, https://doi.org/10.5194/acp-18-5847-2018, 2018
Short summary
Short summary
To gain a full picture of the Spanish (and European) GHG balance, understanding of CH4 emissions in different regions is a critical challenge, as is the improvement of bottom-up inventories for all European regions. This study uses, among other elements, GHG, meteorological and 222Rn tracer data from a Spanish region to understand the main causes of temporal variability of GHG mixing ratios. The study can offer new insights into regional emissions by identifying the impacts of changing sources.
Pablo E. S. Oliveira, Otávio C. Acevedo, Matthias Sörgel, Anywhere Tsokankunku, Stefan Wolff, Alessandro C. Araújo, Rodrigo A. F. Souza, Marta O. Sá, Antônio O. Manzi, and Meinrat O. Andreae
Atmos. Chem. Phys., 18, 3083–3099, https://doi.org/10.5194/acp-18-3083-2018, https://doi.org/10.5194/acp-18-3083-2018, 2018
Short summary
Short summary
Carbon dioxide and latent heat fluxes within the canopy are dominated by low-frequency (nonturbulent) processes. There is a striking contrast between fully turbulent and intermittent nights, such that turbulent processes dominate the total nighttime exchange during the former, while nonturbulent processes are more relevant in the latter. In very stable nights, during which intermittent exchange prevails, the stable boundary layer may be shallower than the highest observational level at 80 m.
Sean Hartery, Róisín Commane, Jakob Lindaas, Colm Sweeney, John Henderson, Marikate Mountain, Nicholas Steiner, Kyle McDonald, Steven J. Dinardo, Charles E. Miller, Steven C. Wofsy, and Rachel Y.-W. Chang
Atmos. Chem. Phys., 18, 185–202, https://doi.org/10.5194/acp-18-185-2018, https://doi.org/10.5194/acp-18-185-2018, 2018
Short summary
Short summary
Methane is the second most important greenhouse gas but its emissions from northern regions are still poorly constrained. This study uses aircraft measurements of methane from Alaska to estimate surface emissions. We found that methane emission rates depend on the soil temperature at depths where its production was taking place, and that total emissions were similar between tundra and boreal regions. These results provide a simple way to predict methane emissions in this region.
Linda M. J. Kooijmans, Kadmiel Maseyk, Ulli Seibt, Wu Sun, Timo Vesala, Ivan Mammarella, Pasi Kolari, Juho Aalto, Alessandro Franchin, Roberta Vecchi, Gianluigi Valli, and Huilin Chen
Atmos. Chem. Phys., 17, 11453–11465, https://doi.org/10.5194/acp-17-11453-2017, https://doi.org/10.5194/acp-17-11453-2017, 2017
Short summary
Short summary
Carbon cycle studies rely on the accuracy of models to estimate the amount of CO2 being taken up by vegetation. The gas carbonyl sulfide (COS) can serve as a tool to estimate the vegetative CO2 uptake by scaling the ecosystem uptake of COS to that of CO2. Here we investigate the nighttime fluxes of COS. The relationships found in this study will aid in implementing nighttime COS uptake in models, which is key to obtain accurate estimates of vegetative CO2 uptake with the use of COS.
Pavel Alekseychik, Ivan Mammarella, Dmitry Karpov, Sigrid Dengel, Irina Terentieva, Alexander Sabrekov, Mikhail Glagolev, and Elena Lapshina
Atmos. Chem. Phys., 17, 9333–9345, https://doi.org/10.5194/acp-17-9333-2017, https://doi.org/10.5194/acp-17-9333-2017, 2017
Short summary
Short summary
West Siberian peatlands occupy a large fraction of land area in the region, and yet little is known about their interaction with the atmosphere. We took the first measurements of CO2 and energy surface balances over a typical bog of West Siberian middle taiga, in the vicinity of the Mukhrino field station (Khanty–Mansiysk). The May–August study in a wet year (2015) revealed a relatively large photosynthetic sink of CO2 that was close to the high end of estimates at bog sites elsewhere.
Lei Wang, Huizhi Liu, Jihua Sun, and Yaping Shao
Atmos. Chem. Phys., 17, 5119–5129, https://doi.org/10.5194/acp-17-5119-2017, https://doi.org/10.5194/acp-17-5119-2017, 2017
Short summary
Short summary
This study found that the seasonal variation in CO2 exchange over an alpine meadow on the Tibetan Plateau was primarily affected by the seasonal pattern of air temperature, especially in spring and autumn. The annual net ecosystem exchange decreased with mean annual temperature, and then increased when the gross primary production became saturated. This study contributes to the response of the alpine meadow ecosystem to global warming.
Xueqian Wang, Weidong Guo, Bo Qiu, Ye Liu, Jianning Sun, and Aijun Ding
Atmos. Chem. Phys., 17, 4989–4996, https://doi.org/10.5194/acp-17-4989-2017, https://doi.org/10.5194/acp-17-4989-2017, 2017
Short summary
Short summary
Land use or cover change is a fundamental anthropogenic forcing for climate change. Based on field observations, we quantified the contributions of different factors to surface temperature change and deepened the understanding of its mechanisms. We found evaporative cooling plays the most important role in the temperature change, while radiative forcing, which is traditionally emphasized, is not significant. This study provided firsthand evidence to verify the model results in IPCC AR5.
L. Paige Wright, Leiming Zhang, and Frank J. Marsik
Atmos. Chem. Phys., 16, 13399–13416, https://doi.org/10.5194/acp-16-13399-2016, https://doi.org/10.5194/acp-16-13399-2016, 2016
Short summary
Short summary
The current knowledge concerning mercury dry deposition is reviewed, including dry deposition algorithms used in chemical transport models and at monitoring sites, measurement methods and studies for quantifying dry deposition of oxidized mercury, and measurement studies of litterfall and throughfall mercury. Over all the regions, dry deposition, estimated as the sum of litterfall and throughfall minus open-field wet deposition, is more dominant than wet deposition for Hg deposition.
Einara Zahn, Nelson L. Dias, Alessandro Araújo, Leonardo D. A. Sá, Matthias Sörgel, Ivonne Trebs, Stefan Wolff, and Antônio Manzi
Atmos. Chem. Phys., 16, 11349–11366, https://doi.org/10.5194/acp-16-11349-2016, https://doi.org/10.5194/acp-16-11349-2016, 2016
Short summary
Short summary
Preliminary data from the ATTO project were analyzed to characterize the exchange of heat, water vapor, and CO2 between the Amazon forest and the atmosphere. The forest roughness makes estimation of their fluxes difficult, and even measurements at 42 m above the canopy show a lot of scatter. Still, measurements made around noon showed much better conformity with standard theories for the exchange of these quantities, opening the possibility of good flux estimates when the sun is high.
Undine Zöll, Christian Brümmer, Frederik Schrader, Christof Ammann, Andreas Ibrom, Christophe R. Flechard, David D. Nelson, Mark Zahniser, and Werner L. Kutsch
Atmos. Chem. Phys., 16, 11283–11299, https://doi.org/10.5194/acp-16-11283-2016, https://doi.org/10.5194/acp-16-11283-2016, 2016
Short summary
Short summary
Accurate quantification of atmospheric ammonia concentration and exchange fluxes with the land surface has been a major metrological challenge. We demonstrate the applicability of a novel laser device to identify concentration and flux patterns over a peatland ecosystem influenced by nearby agricultural practices. Results help to strengthen air quality monitoring networks, lead to better understanding of ecosystem functionality and improve parameterizations in air chemistry and transport models.
Simon Schallhart, Pekka Rantala, Eiko Nemitz, Ditte Taipale, Ralf Tillmann, Thomas F. Mentel, Benjamin Loubet, Giacomo Gerosa, Angelo Finco, Janne Rinne, and Taina M. Ruuskanen
Atmos. Chem. Phys., 16, 7171–7194, https://doi.org/10.5194/acp-16-7171-2016, https://doi.org/10.5194/acp-16-7171-2016, 2016
Short summary
Short summary
We present ecosystem exchange fluxes from a mixed oak–hornbeam forest in the Po Valley, Italy. Detectable fluxes were observed for 29 compounds, dominated by isoprene, which comprised over 60 % of the upward flux. Methanol seemed to be deposited to dew, as the deposition happened in the early morning. We estimated that up to 30 % of the upward flux of methyl vinyl ketone and methacrolein originated from atmospheric oxidation of isoprene.
Aurélie Bachy, Marc Aubinet, Niels Schoon, Crist Amelynck, Bernard Bodson, Christine Moureaux, and Bernard Heinesch
Atmos. Chem. Phys., 16, 5343–5356, https://doi.org/10.5194/acp-16-5343-2016, https://doi.org/10.5194/acp-16-5343-2016, 2016
Short summary
Short summary
This research focuses on Biogenic Volatile Organic Compounds (BVOC) exchanges between a maize field and the atmosphere. Indeed, few BVOC studies have already investigated agricultural ecosystems. We found that the maize field emitted mainly methanol, that both soil and plants contributed to the net exchange, that exchanges were lower than in other studies and than considered by models. Our work tends thus to lower the impact of maize on terrestrial BVOC exchanges.
Y. Zhao, T. Huang, L. Wang, H. Gao, and J. Ma
Atmos. Chem. Phys., 15, 3479–3495, https://doi.org/10.5194/acp-15-3479-2015, https://doi.org/10.5194/acp-15-3479-2015, 2015
Short summary
Short summary
After several decades of declining persistent organic pollutants in the arctic environment due to their global use restriction, some of these toxic chemicals increased in the mid-2000s and undertook statistically significant step changes which coincided with arctic sea ice melting. Results provide statistical evidence for the releasing of toxic chemicals from their reservoirs in the Arctic due to the rapid change in the arctic environment.
J. Sievers, T. Papakyriakou, S. E. Larsen, M. M. Jammet, S. Rysgaard, M. K. Sejr, and L. L. Sørensen
Atmos. Chem. Phys., 15, 2081–2103, https://doi.org/10.5194/acp-15-2081-2015, https://doi.org/10.5194/acp-15-2081-2015, 2015
H. Huang, J. Wang, D. Hui, D. R. Miller, S. Bhattarai, S. Dennis, D. Smart, T. Sammis, and K. C. Reddy
Atmos. Chem. Phys., 14, 12839–12854, https://doi.org/10.5194/acp-14-12839-2014, https://doi.org/10.5194/acp-14-12839-2014, 2014
Short summary
Short summary
An EC system was assembled with a sonic anemometer and a new fast-response N2O analyzer and applied in a cornfield during a growing season. This N2O EC system provided reliable N2O flux measurements. The average flux was about 63% higher during the daytime than during the nighttime. Seasonal fluxes were highly dependent on soil moisture rather than soil temperature.
D. Vickers and C. K. Thomas
Atmos. Chem. Phys., 14, 9665–9676, https://doi.org/10.5194/acp-14-9665-2014, https://doi.org/10.5194/acp-14-9665-2014, 2014
G. G. Cirino, R. A. F. Souza, D. K. Adams, and P. Artaxo
Atmos. Chem. Phys., 14, 6523–6543, https://doi.org/10.5194/acp-14-6523-2014, https://doi.org/10.5194/acp-14-6523-2014, 2014
L. Hörtnagl, I. Bamberger, M. Graus, T. M. Ruuskanen, R. Schnitzhofer, M. Walser, A. Unterberger, A. Hansel, and G. Wohlfahrt
Atmos. Chem. Phys., 14, 5369–5391, https://doi.org/10.5194/acp-14-5369-2014, https://doi.org/10.5194/acp-14-5369-2014, 2014
F. Lohou, L. Kergoat, F. Guichard, A. Boone, B. Cappelaere, J.-M. Cohard, J. Demarty, S. Galle, M. Grippa, C. Peugeot, D. Ramier, C. M. Taylor, and F. Timouk
Atmos. Chem. Phys., 14, 3883–3898, https://doi.org/10.5194/acp-14-3883-2014, https://doi.org/10.5194/acp-14-3883-2014, 2014
E. Velasco, M. Roth, S. H. Tan, M. Quak, S. D. A. Nabarro, and L. Norford
Atmos. Chem. Phys., 13, 10185–10202, https://doi.org/10.5194/acp-13-10185-2013, https://doi.org/10.5194/acp-13-10185-2013, 2013
G. C. Edwards and D. A. Howard
Atmos. Chem. Phys., 13, 5325–5336, https://doi.org/10.5194/acp-13-5325-2013, https://doi.org/10.5194/acp-13-5325-2013, 2013
H. Z. Liu, J. W. Feng, L. Järvi, and T. Vesala
Atmos. Chem. Phys., 12, 7881–7892, https://doi.org/10.5194/acp-12-7881-2012, https://doi.org/10.5194/acp-12-7881-2012, 2012
S. Dupont and E. G. Patton
Atmos. Chem. Phys., 12, 5913–5935, https://doi.org/10.5194/acp-12-5913-2012, https://doi.org/10.5194/acp-12-5913-2012, 2012
T. Foken, F. X. Meixner, E. Falge, C. Zetzsch, A. Serafimovich, A. Bargsten, T. Behrendt, T. Biermann, C. Breuninger, S. Dix, T. Gerken, M. Hunner, L. Lehmann-Pape, K. Hens, G. Jocher, J. Kesselmeier, J. Lüers, J.-C. Mayer, A. Moravek, D. Plake, M. Riederer, F. Rütz, M. Scheibe, L. Siebicke, M. Sörgel, K. Staudt, I. Trebs, A. Tsokankunku, M. Welling, V. Wolff, and Z. Zhu
Atmos. Chem. Phys., 12, 1923–1950, https://doi.org/10.5194/acp-12-1923-2012, https://doi.org/10.5194/acp-12-1923-2012, 2012
Q. Laffineur, M. Aubinet, N. Schoon, C. Amelynck, J.-F. Müller, J. Dewulf, H. Van Langenhove, K. Steppe, and B. Heinesch
Atmos. Chem. Phys., 12, 577–590, https://doi.org/10.5194/acp-12-577-2012, https://doi.org/10.5194/acp-12-577-2012, 2012
A. L. Steiner, S. N. Pressley, A. Botros, E. Jones, S. H. Chung, and S. L. Edburg
Atmos. Chem. Phys., 11, 11921–11936, https://doi.org/10.5194/acp-11-11921-2011, https://doi.org/10.5194/acp-11-11921-2011, 2011
C. A. S. Querino, C. J. P. P. Smeets, I. Vigano, R. Holzinger, V. Moura, L. V. Gatti, A. Martinewski, A. O. Manzi, A. C. de Araújo, and T. Röckmann
Atmos. Chem. Phys., 11, 7943–7953, https://doi.org/10.5194/acp-11-7943-2011, https://doi.org/10.5194/acp-11-7943-2011, 2011
X. Jing, J. Huang, G. Wang, K. Higuchi, J. Bi, Y. Sun, H. Yu, and T. Wang
Atmos. Chem. Phys., 10, 8205–8218, https://doi.org/10.5194/acp-10-8205-2010, https://doi.org/10.5194/acp-10-8205-2010, 2010
R. J. Vong, I. J. Vong, D. Vickers, and D. S. Covert
Atmos. Chem. Phys., 10, 5749–5758, https://doi.org/10.5194/acp-10-5749-2010, https://doi.org/10.5194/acp-10-5749-2010, 2010
H. K. Lappalainen, S. Sevanto, J. Bäck, T. M. Ruuskanen, P. Kolari, R. Taipale, J. Rinne, M. Kulmala, and P. Hari
Atmos. Chem. Phys., 9, 5447–5459, https://doi.org/10.5194/acp-9-5447-2009, https://doi.org/10.5194/acp-9-5447-2009, 2009
Cited articles
Aubinet, M.: Eddy covariance CO2 flux measurements in nocturnal
conditions: An analysis of the problem, Ecol. Appl., 18, 1368–1378,
https://doi.org/10.1890/06-1336.1, 2008. a
Aubinet, M., Vesala, T., and Papale, D. (Eds.): Eddy Covariance, A
Practical Guide to Measurement and Data Analysis, Springer, Dordrecht, the
Netherlands, 438 pp., 2012. a
Bastviken, D., Tranvik, L. J., Downing, J. A., Crill, P. M., and
Enrich-Prast,
A.: Freshwater Methane Emissions Offset the Continental Carbon Sink, Science,
331, p. 50, https://doi.org/10.1126/science.1196808, 2011. a
Berchet, A., Bousquet, P., Pison, I., Locatelli, R., Chevallier, F., Paris,
J.-D., Dlugokencky, E. J., Laurila, T., Hatakka, J., Viisanen, Y., Worthy, D.
E. J., Nisbet, E., Fisher, R., France, J., Lowry, D., Ivakhov, V., and
Hermansen, O.: Atmospheric constraints on the methane emissions from the East
Siberian Shelf, Atmos. Chem. Phys., 16, 4147–4157,
https://doi.org/10.5194/acp-16-4147-2016, 2016. a
Ciais, P., Sabine, C., Bala, G., Bopp, L., Brovkin, V., Canadell, J.,
Chhabra,
A., DeFries, R., Galloway, J., Heimann, M., Jones, C., Le Quéré, C.,
Myneni, R., Piao, S., and Thornton, P.: Carbon and Other Biogeochemical
Cycles, in: Climate Change 2013: The Physical Science Basis. Contribution of
Working Group I to the Fifth Assessment Report of the Intergovernmental Panel
on Climate Change, edited by: Stocker, T., Qin, D., Plattner, G.-K., Tignor,
M., Allen, S., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P.,
Cambridge University Press, Cambridge and New York, 465–570, 2013. a, b
Collineau, S. and Brunet, Y.: Detection of turbulent coherent motions in a
forest canopy part I: Wavelet analysis, Bound.-Lay. Meteorol., 65, 357–379,
https://doi.org/10.1007/BF00707033, 1993a. a
Collineau, S. and Brunet, Y.: Detection of turbulent coherent motions in a
forest canopy part II: Time-scales and conditional averages, Bound.-Lay.
Meteorol., 66, 49–73, https://doi.org/10.1007/BF00705459, 1993b. a
Cooper, M. D. A., Estop-Aragonés, C., Fisher, J. P., Thierry, A.,
Garnett,
M. H., Charman, D. J., Murton, J. B., Phoenix, G. K., Treharne, R., Kokelj,
S. V., Wolfe, S. A., Lewkowicz, A. G., Williams, M., and Hartley, I. P.:
Limited contribution of permafrost carbon to methane release from thawing
peatlands, Nat. Clim. Change, 7, 507–511, https://doi.org/10.1038/nclimate3328, 2017. a
Corradi, C., Kolle, O., Walter, K., Zimov, S. A., and Schulze, E. D.: Carbon
dioxide and methane exchange of a north-east Siberian tussock tundra, Glob.
Change Biol., 11, 1910–1925, https://doi.org/10.1111/j.1365-2486.2005.01023.x,
2005. a
Desjardins, R. L., Macpherson, J. I., Schuepp, P. H., and Karanja, F.: An
Evaluation of Aircraft Flux Measurements of CO2, Water-Vapor
and Sensible Heat, Bound.-Lay. Meteorol., 47, 55–69,
https://doi.org/10.1007/BF00122322, 1989. a
Emmerton, C. A., St. Louis, V. L., Lehnherr, I., Humphreys, E. R., Rydz, E.,
and Kosolofski, H. R.: The net exchange of methane with high Arctic
landscapes during the summer growing season, Biogeosciences, 11, 3095–3106,
https://doi.org/10.5194/bg-11-3095-2014, 2014. a
Fisher, J. P., Estop-Aragonés, C., Thierry, A., Charman, D. J., Wolfe,
S. A.,
Hartley, I. P., Murton, J. B., Williams, M., and Phoenix, G. K.: The
influence of vegetation and soil characteristics on active-layer thickness of
permafrost soils in boreal forest, Glob. Change Biol., 22, 3127–3140,
https://doi.org/10.1111/gcb.13248, 2016. a
Foken, T. and Wichura, B.: Tools for quality assessment of surface-based flux
measurements, Agr. Forest Meteorol., 78, 83–105,
https://doi.org/10.1016/0168-1923(95)02248-1, 1996. a, b
Foken, T., Dlugi, R., and Kramm, G.: On the determination of dry deposition
and
emission of gaseous compounds at the biosphere-atmosphere interface,
Meteorol. Z., 4, 91–118, 1995. a
Foken, T., Aubinet, M., and Leuning, R.: The eddy covariance method, in: Eddy
covariance: a practical guide to measurement and data analysis, edited by:
Aubinet, M., Vesala, T., and Papale, D., Springer Atmospheric Sciences,
Springer, Dordrecht, 1–19, 2012a. a
Foken, T., Leuning, R., Oncley, S., Mauder, M., and Aubinet, M.: Corrections
and Data Quality Control, in: Eddy covariance: a practical guide to
measurement and data analysis, edited by: Aubinet, M., Vesala, T., and Papale,
D., Springer Atmospheric Sciences, Springer, Dordrecht, 85–131,
https://doi.org/10.1007/978-94-007-2351-1_1, 2012b. a
Foken, T., Meixner, F. X., Falge, E., Zetzsch, C., Serafimovich, A.,
Bargsten, A., Behrendt, T., Biermann, T., Breuninger, C., Dix, S., Gerken,
T., Hunner, M., Lehmann-Pape, L., Hens, K., Jocher, G., Kesselmeier, J.,
Lüers, J., Mayer, J.-C., Moravek, A., Plake, D., Riederer, M., Rütz, F.,
Scheibe, M., Siebicke, L., Sörgel, M., Staudt, K., Trebs, I., Tsokankunku,
A., Welling, M., Wolff, V., and Zhu, Z.: Coupling processes and exchange of
energy and reactive and non-reactive trace gases at a forest site – results
of the EGER experiment, Atmos. Chem. Phys., 12, 1923–1950,
https://doi.org/10.5194/acp-12-1923-2012, 2012. a
Fratini, G. and Mauder, M.: Towards a consistent eddy-covariance processing:
an intercomparison of EddyPro and TK3, Atmos. Meas. Tech., 7, 2273–2281,
https://doi.org/10.5194/amt-7-2273-2014, 2014. a
Glaser, P. H., Chanton, J. P., Morin, P., Rosenberry, D. O., Siegel, D. I.,
Ruud, O., Chasar, L. I., and Reeve, A. S.: Surface deformations as indicators
of deep ebullition fluxes in a large northern peatland, Global Biogeochem.
Cy., 18, GB1003, https://doi.org/10.1029/2003GB002069, 2004. a
Göckede, M., Kittler, F., Kwon, M. J., Burjack, I., Heimann, M., Kolle, O.,
Zimov, N., and Zimov, S.: Shifted energy fluxes, increased Bowen ratios, and
reduced thaw depths linked with drainage-induced changes in permafrost
ecosystem structure, The Cryosphere, 11, 2975–2996,
https://doi.org/10.5194/tc-11-2975-2017, 2017. a
Goodrich, J. P., Oechel, W. C., Gioli, B., Moreaux, V., Murphy, P. C., Burba,
G., and Zona, D.: Impact of different eddy covariance sensors, site set-up,
and maintenance on the annual balance of CO2 and CH4 in the harsh Arctic
environment, Agr. Forest Meteorol., 228–229, 239–251,
https://doi.org/10.1016/j.agrformet.2016.07.008, 2016. a
Hartmann, D. L., Klein Tank, A. M. G., Rusticucci, M., Alexander, R. V.,
Brönnimann, S., Charabi, Y., Dentener, F. J., Dlugokencky, E. J.,
Easterling, D. R., Kaplan, A., Soden, B. J., Thorne, P. W., Wild, M., and
Zhai, P. M.: Observations: Atmosphere and Surface, in: Climate Change 2013:
The Physical Science Basis. Contribution of Working Group I to the Fifth
Assessment Report of the Intergovernmental Panel on Climate Change, edited
by:
Stocker, T., Qin, D., Plattner, G.-K., Tignor, M., Allen, S., Boschung, J.,
Nauels, A., Xia, Y., Bex, V., and Midgley, P., Cambridge
University Press, Cambridge and New York, 159–254, 2013. a
Hoffmann, M., Schulz-Hanke, M., Garcia Alba, J., Jurisch, N., Hagemann, U.,
Sachs, T., Sommer, M., and Augustin, J.: A simple calculation algorithm to
separate high-resolution CH4 flux measurements into ebullition- and
diffusion-derived components, Atmos. Meas. Tech., 10, 109–118,
https://doi.org/10.5194/amt-10-109-2017, 2017. a
Iwata, H., Hirata, R., Takahashi, Y., Miyabara, Y., Itoh, M., and Iizuka, K.:
Partitioning Eddy-Covariance Methane Fluxes from a Shallow Lake into
Diffusive and Ebullitive Fluxes, Bound.-Lay. Meteorol., 169, 413–428,
https://doi.org/10.1007/s10546-018-0383-1, 2018. a
Kaiser, S., Göckede, M., Castro-Morales, K., Knoblauch, C., Ekici, A.,
Kleinen, T., Zubrzycki, S., Sachs, T., Wille, C., and Beer, C.: Process-based
modelling of the methane balance in periglacial landscapes (JSBACH-methane),
Geosci. Model Dev., 10, 333–358, https://doi.org/10.5194/gmd-10-333-2017,
2017. a
Karipot, A., Leclerc, M. Y., Zhang, G., Lewin, K. F., Nagy, J., Hendrey,
G. R.,
and Starr, G.: Influence of nocturnal low-level jet on turbulence structure
and CO2 flux measurements over a forest canopy, J. Geophys. Res., 113,
D10102, https://doi.org/10.1029/2007jd009149, 2008. a
Katul, G. G. and Parlange, M. B.: Analysis of land-surface heat fluxes using
the orthonormal wavelet approach, Water Resour. Res., 31, 2743–2749,
https://doi.org/10.1029/95WR00003, 1995. a
Kittler, F., Burjack, I., Corradi, C. A. R., Heimann, M., Kolle, O., Merbold,
L., Zimov, N., Zimov, S., and Göckede, M.: Impacts of a decadal drainage
disturbance on surface–atmosphere fluxes of carbon dioxide in a permafrost
ecosystem, Biogeosciences, 13, 5315–5332,
https://doi.org/10.5194/bg-13-5315-2016, 2016. a, b, c
Kittler, F., Eugster, W., Foken, T., Heimann, M., Kolle, O., and Göckede,
M.:
High-quality eddy-covariance CO2 budgets under cold climate conditions, J.
Geophys. Res.-Biogeo., 122, 2064–2084, https://doi.org/10.1002/2017JG003830,
2017a. a
Kittler, F., Heimann, M., Kolle, O., Zimov, N., Zimov, S., and Göckede, M.:
Long-Term Drainage Reduces CO2 Uptake and CH4 Emissions in a Siberian
Permafrost Ecosystem, Global Biogeochem. Cy., 31, 1704–1717, https://doi.org/10.1002/2017GB005774,
2017b. a
Kolle, O. and Rebmann, C.: EddySoft – Documentation of a Software Package to
Acquire and Process Eddy Covariance Data, Technical Report Nr. 10.
Max-Planck-Institute for Biogeochemistry, Jena, 2007. a
Kwon, M. J., Beulig, F., Ilie, I., Wildner, M., Küsel, K., Merbold, L.,
Mahecha, M. D., Zimov, N., Zimov, S. A., Heimann, M., Schuur, E. A. G.,
Kostka, J. E., Kolle, O., Hilke, I., and Göckede, M.: Plants,
microorganisms, and soil temperatures contribute to a decrease in methane
fluxes on a drained Arctic floodplain, Glob. Change Biol., 23, 2396–2412,
https://doi.org/10.1111/gcb.13558, 2017. a, b, c
Lee, X., Finnigan, J., and Paw U, K. T.: Coordinate systems and flux bias
error, in: Handbook of Micrometeorology, edited by: Lee, X., Massman, W., and
Law, B., Kluwer, Dordrecht, 33–66, 2004. a
Masson-Delmotte, V., Schulz, M., Abe-Ouchi, A., Beer, J., Ganopolski, A.,
Gonzalez Rouco, J. F., Jansen, E., Lambeck, K., Luterbacher, J., Naish, T.,
Osborn, T., Otto-Bliesner, B., Quinn, T., Ramesh, R., Rojas, M., Shao, X.,
and Timmermann, A.: Information from Paleoclimate Archives, in: Climate
Change 2013: The Physical Science Basis. Contribution of Working Group I to
the Fifth Assessment Report of the Intergovernmental Panel on Climate Change,
edited by: Stocker, T., Qin, D., Plattner, G.-K., Tignor, M., Allen, S.,
Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P.,
Cambridge University Press, Cambridge and New York, 383–464, 2013. a
Mauder, M. and Foken, T.: Documentation and Instruction Manual of the
Eddy-Covariance Software Package TK3 (update),
available at: https://epub.uni-bayreuth.de/342/ (last access: 1 February 2017), work Report, University of
Bayreuth, Department of Micro-meteorology, 2015a. a
Mauder, M. and Foken, T.: Eddy-Covariance software TK3, Zenodo,
https://doi.org/10.5281/zenodo.20349, 2015b. a
Mauder, M., Foken, T., Clement, R., Elbers, J. A., Eugster, W., Grünwald,
T., Heusinkveld, B., and Kolle, O.: Quality control of CarboEurope flux data
– Part 2: Inter-comparison of eddy-covariance software, Biogeosciences, 5,
451–462, https://doi.org/10.5194/bg-5-451-2008, 2008. a
Mauder, M., Cuntz, M., Drüe, C., Graf, A., Rebmann, C., Schmid, H. P.,
Schmidt, M., and Steinbrecher, R.: A strategy for quality and uncertainty
assessment of long-term eddy-covariance measurements, Agr. Forest Meteorol.,
169, 122–135, https://doi.org/10.1016/j.agrformet.2012.09.006,
2013. a, b, c
McEwing, K. R., Fisher, J. P., and Zona, D.: Environmental and vegetation
controls on the spatial variability of CH4 emission from wet-sedge and
tussock tundra ecosystems in the Arctic, Plant Soil, 388, 37–52,
https://doi.org/10.1007/s11104-014-2377-1, 2015. a
Merbold, L., Kutsch, W. L., Corradi, C., Kolle, O., Rebmann, C., Stoy, P. C.,
Zimov, S. A., and Schulze, E.-D.: Artificial drainage and associated carbon
fluxes (CO2∕CH4) in a tundra ecosystem, Glob. Change Biol., 15, 2599–2614,
https://doi.org/10.1111/j.1365-2486.2009.01962.x, 2009. a
Myhre, G., Shindell, D., Bréon, F.-M., Collins, W., Fuglestvedt, J., Huang,
J., Koch, D., Lamarque, J.-F., Lee, D., Mendoza, B., Nakajima, T., Robock,
A., Stephens, G., Takemura, T., and Zhang, H.: Anthropogenic and Natural
Radiative Forcing, in: Climate Change 2013: The Physical Science Basis.
Contribution of Working Group I to the Fifth Assessment Report of the
Intergovernmental Panel on Climate Change, edited by: Stocker, T., Qin, D.,
Plattner, G.-K., Tignor, M., Allen, S., Boschung, J., Nauels, A., Xia, Y.,
Bex, V., and Midgley, P., Cambridge University Press,
Cambridge and New York, 659–740, 2013. a
Nappo, C. J.: An introduction to atmospheric gravity waves, Academic Press,
Amsterdam, 2nd Edn., 2013. a
Nisbet, E. G., Dlugokencky, E. J., Manning, M., Lowry, D., and Fisher, R. E.:
Rising atmospheric methane: 2007–2014 growth and isotopic
shift, Global Biogeochem. Cy., 30, 1356–1370, https://doi.org/10.1002/2016GB005406, 2016. a
Oncley, S. P., Businger, J. A., Itsweire, E. C., Friehe, C. A., Larue, J. C.,
and Chang, S. S.: Surface layer profiles and turbulence measurements over
uniform land under near-neutral conditions, in: 9th Symp on Boundary
Layer and Turbulence, Amer. Meteor. Soc., Roskilde,
Denmark, 237–240, 1990. a
Papale, D., Reichstein, M., Aubinet, M., Canfora, E., Bernhofer, C., Kutsch,
W., Longdoz, B., Rambal, S., Valentini, R., Vesala, T., and Yakir, D.:
Towards a standardized processing of Net Ecosystem Exchange measured with
eddy covariance technique: algorithms and uncertainty estimation,
Biogeosciences, 3, 571–583, https://doi.org/10.5194/bg-3-571-2006, 2006. a
Parazoo, N. C., Commane, R., Wofsy, S. C., Koven, C. D., Sweeney, C.,
Lawrence,
D. M., Lindaas, J., Chang, R. Y. W., and Miller, C. E.: Detecting regional
patterns of changing CO2 flux in Alaska, P. Natl. Acad. Sci. USA, 113,
7733–7738, https://doi.org/10.1073/pnas.1601085113, 2016. a
Peltola, O., Raivonen, M., Li, X., and Vesala, T.: Technical note: Comparison
of methane ebullition modelling approaches used in terrestrial wetland
models, Biogeosciences, 15, 937–951, https://doi.org/10.5194/bg-15-937-2018,
2018. a
Percival, D. and Walden, A. T.: Wavelet methods for time series analysis,
Cambridge Univ. Press, Cambridge, 2000. a
Raivonen, M., Smolander, S., Backman, L., Susiluoto, J., Aalto, T.,
Markkanen, T., Mäkelä, J., Rinne, J., Peltola, O., Aurela, M., Lohila,
A., Tomasic, M., Li, X., Larmola, T., Juutinen, S., Tuittila, E.-S., Heimann,
M., Sevanto, S., Kleinen, T., Brovkin, V., and Vesala, T.: HIMMELI v1.0:
HelsinkI Model of MEthane buiLd-up and emIssion for peatlands, Geosci. Model
Dev., 10, 4665–4691, https://doi.org/10.5194/gmd-10-4665-2017, 2017. a
Rebmann, C., Kolle, O., Heinesch, B., Queck, R., Ibrom, A., and Aubinet, M.:
Data Acquisition and Flux Calculations, in: Eddy covariance: a practical
guide to measurement and data analysis, edited by: Aubinet, M., Vesala, T.,
and Papale, D., Springer Atmospheric Sciences, Springer,
Dordrecht, 59–84, 2012. a, b
Sachs, T., Giebels, M., Boike, J., and Kutzbach, L.: Environmental controls
on
CH4 emission from polygonal tundra on the microsite scale in the Lena river
delta, Siberia, Glob. Change Biol., 16, 3096–3110,
https://doi.org/10.1111/j.1365-2486.2010.02232.x, 2010. a
Saunois, M., Bousquet, P., Poulter, B., Peregon, A., Ciais, P., Canadell, J.
G., Dlugokencky, E. J., Etiope, G., Bastviken, D., Houweling, S.,
Janssens-Maenhout, G., Tubiello, F. N., Castaldi, S., Jackson, R. B., Alexe,
M., Arora, V. K., Beerling, D. J., Bergamaschi, P., Blake, D. R., Brailsford,
G., Brovkin, V., Bruhwiler, L., Crevoisier, C., Crill, P., Covey, K., Curry,
C., Frankenberg, C., Gedney, N., Höglund-Isaksson, L., Ishizawa, M., Ito,
A., Joos, F., Kim, H.-S., Kleinen, T., Krummel, P., Lamarque, J.-F.,
Langenfelds, R., Locatelli, R., Machida, T., Maksyutov, S., McDonald, K. C.,
Marshall, J., Melton, J. R., Morino, I., Naik, V., O'Doherty, S., Parmentier,
F.-J. W., Patra, P. K., Peng, C., Peng, S., Peters, G. P., Pison, I.,
Prigent, C., Prinn, R., Ramonet, M., Riley, W. J., Saito, M., Santini, M.,
Schroeder, R., Simpson, I. J., Spahni, R., Steele, P., Takizawa, A.,
Thornton, B. F., Tian, H., Tohjima, Y., Viovy, N., Voulgarakis, A., van
Weele, M., van der Werf, G. R., Weiss, R., Wiedinmyer, C., Wilton, D. J.,
Wiltshire, A., Worthy, D., Wunch, D., Xu, X., Yoshida, Y., Zhang, B., Zhang,
Z., and Zhu, Q.: The global methane budget 2000–2012, Earth Syst. Sci. Data,
8, 697–751, https://doi.org/10.5194/essd-8-697-2016, 2016a. a, b, c
Saunois, M., Jackson, R. B., Bousquet, P., Poulter, B., and Canadell, J. G.:
The growing role of methane in anthropogenic climate change, Environ. Res.
Lett., 11, 120207, https://doi.org/10.1088/1748-9326/11/12/120207,
2016b. a, b
Schaefer, H., Fletcher, S. E. M., Veidt, C., Lassey, K. R., Brailsford,
G. W.,
Bromley, T. M., Dlugokencky, E. J., Michel, S. E., Miller, J. B., Levin, I.,
Lowe, D. C., Martin, R. J., Vaughn, B. H., and White, J. W. C.: A
21st-century shift from fossil-fuel to biogenic methane emissions indicated
by (CH4)-C-13, Science, 352, 80–84, https://doi.org/10.1126/science.aad2705, 2016. a
Schaller, C., Göckede, M., and Foken, T.: Flux calculation of short
turbulent events in Chersky in the Sakha (Yakutia) Republic, Far Eastern
Federal District of Russia, https://doi.org/10.1594/PANGAEA.873260,
2017a. a, b
Schulz, A., Schaller, C., Maturilli, M., Boike, J., Ritter, C., and Foken,
T.:
Surface energy fluxes during the total solar eclipse over Ny-Alesund,
Svalbard, on 20 March 2015, Meteorol. Z., 26, 431–440,
https://doi.org/10.1127/metz/2017/0846, 2017. a
Schwietzke, S., Sherwood, O. A., Bruhwiler, L. M. P., Miller, J. B., Etiope,
G., Dlugokencky, E. J., Michel, S. E., Arling, V. A., Vaughn, B. H., White,
J. W. C., and Tans, P. P.: Upward revision of global fossil fuel methane
emissions based on isotope database, Nature, 538, 88–91,
https://doi.org/10.1038/nature19797, 2016. a
Serafimovich, A., Hübner, J., Leclerc, M. Y., Duarte, H. F., and Foken,
T.:
Influence of Low-Level Jets and Gravity Waves on Turbulent Fluxes, in: Energy
and Matter Fluxes of a Spruce Forest Ecosystem, edited by: Foken, T.,
229th
Ecological Studies, 247–276, Springer, Cham, 2017. a
Shakhova, N., Semiletov, I., Leifer, I., Sergienko, V., Salyuk, A., Kosmach,
D., Chernykh, D., Stubbs, C., Nicolsky, D., Tumskoy, V., and Gustafsson,
Ö.: Ebullition and storm-induced methane release from the East Siberian
Arctic Shelf, Nat. Geosci., 6, 1–7, https://doi.org/10.1038/ngeo2007, 2013. a
Sweeney, C., Dlugokencky, E., Miller, C. E., Wofsy, S., Karion, A., Dinardo,
S., Chang, R. Y.-W., Miller, J. B., Bruhwiler, L., Crotwell, A. M.,
Newberger, T., McKain, K., Stone, R. S., Wolter, S. E., Lang, P. E., and
Tans, P.: No significant increase in long-term CH4 emissions on North Slope
of Alaska despite significant increase in air temperature, Geophys. Res.
Lett., 43, 6604–6611, https://doi.org/10.1002/2016GL069292, 2016. a
Tan, Z. and Zhuang, Q.: Methane emissions from pan-Arctic lakes during the
21st
century: An analysis with process-based models of lake evolution and
biogeochemistry, J. Geophys. Res.-Biogeo., 120, 2641–2653,
https://doi.org/10.1002/2015JG003184, 2015. a
Terradellas, E., Morales, G., Cuxart, J., and Yagüe, C.: Wavelet methods:
application to the study of the stable atmospheric boundary layer under
non-stationary conditions, Dynam. Atmos. Oceans, 34, 225–244,
https://doi.org/10.1016/S0377-0265(01)00069-0, 2001. a
Thomas, C. K., Kennedy, A. M., Selker, J. S., Moretti, A., Schroth, M. H.,
Smoot, A. R., Tufillaro, N. B., and Zeeman, M. J.: High-Resolution
Fibre-Optic Temperature Sensing: A New Tool to Study the Two-Dimensional
Structure of Atmospheric Surface-Layer Flow, Bound.-Lay. Meteorol., 142,
177–192, https://doi.org/10.1007/s10546-011-9672-7, 2012. a
Torrence, C. and Compo, G. P.: A Practical Guide to Wavelet Analysis,
B. Am. Meteorol. Soc., 79, 61–78,
https://doi.org/10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2, 1998. a, b
Trevino, G. and Andreas, E. L.: On wavelet analysis of nonstationary
turbulence, Bound.-Lay. Meteorol., 81, 271–288, 1996. a
Wik, M., Crill, P. M., Varner, R. K., and Bastviken, D.: Multiyear
measurements
of ebullitive methane flux from three subarctic lakes, J. Geophys. Res.-Biogeo., 118, 1307–1321, https://doi.org/10.1002/jgrg.20103, 2013. a
Zeeman, M. J., Selker, J. S., and Thomas, C. K.: Near-Surface Motion in the
Nocturnal, Stable Boundary Layer Observed with Fibre-Optic Distributed
Temperature Sensing, Bound.-Lay. Meteorol., 154, 189–205,
https://doi.org/10.1007/s10546-014-9972-9, 2015. a
Zhang, Y., Sachs, T., Li, C., and Boike, J.: Upscaling methane fluxes from
closed chambers to eddy covariance based on a permafrost biogeochemistry
integrated model, Glob. Change Biol., 18, 1428–1440,
https://doi.org/10.1111/j.1365-2486.2011.02587.x, 2012.
a
Zona, D., Gioli, B., Commane, R., Lindaas, J., Wofsy, S. C., Miller, C. E.,
Dinardo, S. J., Dengel, S., Sweeney, C., Karion, A., Chang, R. Y. W.,
Henderson, J. M., Murphy, P. C., Goodrich, J. P., Moreaux, V., Liljedahl, A.,
Watts, J. D., Kimball, J. S., Lipson, D. A., and Oechel, W. C.: Cold season
emissions dominate the Arctic tundra methane budget., P. Natl. Acad. Sci.
USA, 113, 40–45, https://doi.org/10.1073/pnas.1516017113, 2016. a
Short summary
Methane emissions from biogenic sources, e.g. Arctic permafrost ecosystems, are associated with uncertainties due to the high variability of fluxes in both space and time. Besides the traditional eddy covariance method, we evaluated a method based on wavelet analysis, which does not require a stationary time series, to calculate fluxes. The occurrence of extreme methane flux events was strongly correlated with the soil temperature. They were triggered by atmospheric non-turbulent mixing.
Methane emissions from biogenic sources, e.g. Arctic permafrost ecosystems, are associated with...
Altmetrics
Final-revised paper
Preprint