Articles | Volume 23, issue 16
https://doi.org/10.5194/acp-23-9365-2023
© Author(s) 2023. 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-23-9365-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Aug 2023
Research article |
| 24 Aug 2023
| 24 Aug 2023
Investigating the development of clouds within marine cold-air outbreaks
Rebecca J. Murray-Watson
CORRESPONDING AUTHOR
Space and Atmospheric Physics Group, Department of Physics, Imperial College London, London, SW7 2BX, UK
Edward Gryspeerdt
Space and Atmospheric Physics Group, Department of Physics, Imperial College London, London, SW7 2BX, UK
Tom Goren
Department of Geography and Environment, Bar-Ilan University, Ramat Gan 52900, Israel
Institute for Meteorology, Leipzig University, Stephanstr. 3, 04103 Leipzig, Germany
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The formation of mixed-phase clouds during marine cold-air outbreaks is not well understood. Our study, using satellite data and Lagrangian trajectories, reveals that the occurrence of these clouds depends on both time and temperature, influenced partly by the presence of biological ice-nucleating particles. This highlights the importance of comprehending local aerosol dynamics for precise modelling of cloud-phase transitions in the Arctic.
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Matthew W. Christensen, Andrew Gettelman, Jan Cermak, Guy Dagan, Michael Diamond, Alyson Douglas, Graham Feingold, Franziska Glassmeier, Tom Goren, Daniel P. Grosvenor, Edward Gryspeerdt, Ralph Kahn, Zhanqing Li, Po-Lun Ma, Florent Malavelle, Isabel L. McCoy, Daniel T. McCoy, Greg McFarquhar, Johannes Mülmenstädt, Sandip Pal, Anna Possner, Adam Povey, Johannes Quaas, Daniel Rosenfeld, Anja Schmidt, Roland Schrödner, Armin Sorooshian, Philip Stier, Velle Toll, Duncan Watson-Parris, Robert Wood, Mingxi Yang, and Tianle Yuan
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Edward Gryspeerdt, Tom Goren, and Tristan W. P. Smith
Atmos. Chem. Phys., 21, 6093–6109, https://doi.org/10.5194/acp-21-6093-2021, https://doi.org/10.5194/acp-21-6093-2021, 2021
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Cloud responses to aerosol are time-sensitive, but this development is rarely observed. This study uses isolated aerosol perturbations from ships to measure this development and shows that macrophysical (width, cloud fraction, detectability) and microphysical (droplet number) properties of ship tracks vary strongly with time since emission, background cloud and meteorological state. This temporal development should be considered when constraining aerosol–cloud interactions with observations.
Johannes Quaas, Antti Arola, Brian Cairns, Matthew Christensen, Hartwig Deneke, Annica M. L. Ekman, Graham Feingold, Ann Fridlind, Edward Gryspeerdt, Otto Hasekamp, Zhanqing Li, Antti Lipponen, Po-Lun Ma, Johannes Mülmenstädt, Athanasios Nenes, Joyce E. Penner, Daniel Rosenfeld, Roland Schrödner, Kenneth Sinclair, Odran Sourdeval, Philip Stier, Matthias Tesche, Bastiaan van Diedenhoven, and Manfred Wendisch
Atmos. Chem. Phys., 20, 15079–15099, https://doi.org/10.5194/acp-20-15079-2020, https://doi.org/10.5194/acp-20-15079-2020, 2020
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Anthropogenic pollution particles – aerosols – serve as cloud condensation nuclei and thus increase cloud droplet concentration and the clouds' reflection of sunlight (a cooling effect on climate). This Twomey effect is poorly constrained by models and requires satellite data for better quantification. The review summarizes the challenges in properly doing so and outlines avenues for progress towards a better use of aerosol retrievals and better retrievals of droplet concentrations.
Edward Gryspeerdt, Johannes Mülmenstädt, Andrew Gettelman, Florent F. Malavelle, Hugh Morrison, David Neubauer, Daniel G. Partridge, Philip Stier, Toshihiko Takemura, Hailong Wang, Minghuai Wang, and Kai Zhang
Atmos. Chem. Phys., 20, 613–623, https://doi.org/10.5194/acp-20-613-2020, https://doi.org/10.5194/acp-20-613-2020, 2020
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Aerosol radiative forcing is a key uncertainty in our understanding of the human forcing of the climate, with much of this uncertainty coming from aerosol impacts on clouds. Observation-based estimates of the radiative forcing are typically smaller than those from global models, but it is not clear if they are more reliable. This work shows how the forcing components in global climate models can be identified, highlighting similarities between the two methods and areas for future investigation.
Johannes Mülmenstädt, Edward Gryspeerdt, Marc Salzmann, Po-Lun Ma, Sudhakar Dipu, and Johannes Quaas
Atmos. Chem. Phys., 19, 15415–15429, https://doi.org/10.5194/acp-19-15415-2019, https://doi.org/10.5194/acp-19-15415-2019, 2019
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The effect of aerosol–cloud interactions (ACIs) on Earth's energy budget continues to be highly uncertain. We decompose the effective radiative forcing by ACIs (ERFaci) into the instantaneous forcing due to anthropogenic increases in the number of cloud droplets and fast responses of cloud properties to the droplet number perturbation in the ECHAM–HAMMOZ aerosol–climate model. This decomposition maps onto the IPCC's Fifth Assessment Report analysis of ERFaci more directly than previous work.
Edward Gryspeerdt, Tom Goren, Odran Sourdeval, Johannes Quaas, Johannes Mülmenstädt, Sudhakar Dipu, Claudia Unglaub, Andrew Gettelman, and Matthew Christensen
Atmos. Chem. Phys., 19, 5331–5347, https://doi.org/10.5194/acp-19-5331-2019, https://doi.org/10.5194/acp-19-5331-2019, 2019
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The liquid water path (LWP) is the strongest control on cloud albedo, such that a small change in LWP can have a large radiative impact. By changing the droplet number concentration (Nd) aerosols may be able to change the LWP, but the sign and magnitude of the effect is unclear. This work uses satellite data to investigate the relationship between Nd and LWP at a global scale and in response to large aerosol perturbations, suggesting that a strong decrease in LWP at high Nd may be overestimated.
Odran Sourdeval, Edward Gryspeerdt, Martina Krämer, Tom Goren, Julien Delanoë, Armin Afchine, Friederike Hemmer, and Johannes Quaas
Atmos. Chem. Phys., 18, 14327–14350, https://doi.org/10.5194/acp-18-14327-2018, https://doi.org/10.5194/acp-18-14327-2018, 2018
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The number concentration of ice crystals (Ni) is a key cloud property that remains very uncertain due to difficulties in determining it using satellites. This lack of global observational constraints limits our ability to constrain this property in models responsible for predicting future climate. This pair of papers fills this gap by showing and analyzing the first rigorously evaluated global climatology of Ni, leading to new information shedding light on the processes that control high clouds.
Edward Gryspeerdt, Odran Sourdeval, Johannes Quaas, Julien Delanoë, Martina Krämer, and Philipp Kühne
Atmos. Chem. Phys., 18, 14351–14370, https://doi.org/10.5194/acp-18-14351-2018, https://doi.org/10.5194/acp-18-14351-2018, 2018
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The concentration of ice crystals in a cloud affects both the properties and the life cycle of the cloud. This work uses a new satellite retrieval to investigate controls on the ice crystal concentration at a global scale. Both temperature and vertical wind speed in a cloud have a strong impact on the concentration of ice crystals. The ice crystal number is also related to the aerosol environment; defining this relation opens up new ways to investigate human impacts on clouds and the climate.
Edward Gryspeerdt, Johannes Quaas, Tom Goren, Daniel Klocke, and Matthias Brueck
Atmos. Chem. Phys., 18, 6157–6169, https://doi.org/10.5194/acp-18-6157-2018, https://doi.org/10.5194/acp-18-6157-2018, 2018
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Cirrus clouds can form by a variety of mechanisms, such as orographic uplift, through convective systems or through large-scale rising motions. In this work, an automated classification of cirrus clouds based on satellite and reanalysis data is presented to separate cirrus by these different formation mechanisms. The classification provides information on the ice origin and cloud-scale updraughts that could not be determined using satellite or reanalysis data alone.
Bethan White, Edward Gryspeerdt, Philip Stier, Hugh Morrison, Gregory Thompson, and Zak Kipling
Atmos. Chem. Phys., 17, 12145–12175, https://doi.org/10.5194/acp-17-12145-2017, https://doi.org/10.5194/acp-17-12145-2017, 2017
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Aerosols influence cloud and precipitation by modifying cloud droplet number concentrations (CDNCs). We simulate three different types of convective cloud using two different cloud microphysics parameterisations. The simulated cloud and precipitation depends much more strongly on the choice of microphysics scheme than on CDNC. The uncertainty differs between types of convection. Our results highlight a large uncertainty in cloud and precipitation responses to aerosol in current models.
Nick Schutgens, Svetlana Tsyro, Edward Gryspeerdt, Daisuke Goto, Natalie Weigum, Michael Schulz, and Philip Stier
Atmos. Chem. Phys., 17, 9761–9780, https://doi.org/10.5194/acp-17-9761-2017, https://doi.org/10.5194/acp-17-9761-2017, 2017
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We estimate representativeness errors in observations due to mismatching spatio-temporal sampling, on timescales of hours to a year and length scales of 50 to 200 km, for a variety of observing systems (in situ or remote sensing ground sites, satellites with imagers or lidar, etc.) and develop strategies to reduce them. This study is relevant to the use of observations in constructing satellite L3 products, observational intercomparison and model evaluation.
Duncan Watson-Parris, Nick Schutgens, Nicholas Cook, Zak Kipling, Philip Kershaw, Edward Gryspeerdt, Bryan Lawrence, and Philip Stier
Geosci. Model Dev., 9, 3093–3110, https://doi.org/10.5194/gmd-9-3093-2016, https://doi.org/10.5194/gmd-9-3093-2016, 2016
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In this paper we describe CIS, a new command line tool for the easy visualization, analysis and comparison of a wide variety of gridded and ungridded data sets used in Earth sciences. Users can now use a single tool to not only view plots of satellite, aircraft, station or model data, but also bring them onto the same spatio-temporal sampling. This allows robust, quantitative comparisons to be made easily. CIS is an open-source project and welcomes input from the community.
Nick A. J. Schutgens, Edward Gryspeerdt, Natalie Weigum, Svetlana Tsyro, Daisuke Goto, Michael Schulz, and Philip Stier
Atmos. Chem. Phys., 16, 6335–6353, https://doi.org/10.5194/acp-16-6335-2016, https://doi.org/10.5194/acp-16-6335-2016, 2016
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We show that evaluating global aerosol model data with observations of very different spatial scales (200 vs. 10 km) can lead to large discrepancies, solely due to different spatial sampling. Strategies for reducing these sampling errors are developed and tested using a set of high-resolution model simulations.
E. Gryspeerdt, P. Stier, B. A. White, and Z. Kipling
Atmos. Chem. Phys., 15, 7557–7570, https://doi.org/10.5194/acp-15-7557-2015, https://doi.org/10.5194/acp-15-7557-2015, 2015
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Wet scavenging generates differences between the aerosol properties in clear-sky scenes (observed by satellites) and cloudy scenes, leading to different
aerosol-precipitation relationships in satellite data and global models. Convective systems usually draw in air from clear-sky regions, but global models have difficulty separating this aerosol from the aerosol in cloudy scenes within a model gridbox. This may prevent models from reproducing the observed aerosol-precipitation relationships.
E. Gryspeerdt, P. Stier, and D. G. Partridge
Atmos. Chem. Phys., 14, 9677–9694, https://doi.org/10.5194/acp-14-9677-2014, https://doi.org/10.5194/acp-14-9677-2014, 2014
E. Gryspeerdt, P. Stier, and D. G. Partridge
Atmos. Chem. Phys., 14, 1141–1158, https://doi.org/10.5194/acp-14-1141-2014, https://doi.org/10.5194/acp-14-1141-2014, 2014
Related subject area
Subject: Clouds and Precipitation | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
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A survey of radiative and physical properties of North Atlantic mesoscale cloud morphologies from multiple identification methodologies
Extensive coverage of ultrathin tropical tropopause layer cirrus clouds revealed by balloon-borne lidar observations
The effects of warm-air intrusions in the high Arctic on cirrus clouds
The characteristics of cloud macro-parameters caused by the seeder–feeder process inside clouds measured by millimeter-wave cloud radar in Xi'an, China
Shallow- and deep-convection characteristics in the greater Houston, Texas, area using cell tracking methodology
Observations of the macrophysical properties of cumulus cloud fields over the tropical western Pacific and their connection to meteorological variables
A Lagrangian perspective on the lifecycle and cloud radiative effect of deep convective clouds over Africa
Daytime variation in the aerosol indirect effect for warm marine boundary layer clouds in the eastern North Atlantic
Technical note: Bimodal parameterizations of in situ ice cloud particle size distributions
Inter-relations of precipitation, aerosols, and clouds over Andalusia, southern Spain, revealed by the Andalusian Global ObseRvatory of the Atmosphere (AGORA)
On the relationship between mesoscale cellular convection and meteorological forcing: comparing the Southern Ocean against the North Pacific
Aerosol-related effects on the occurrence of heterogeneous ice formation over Lauder, New Zealand ∕ Aotearoa
Low-level Arctic clouds: a blind zone in our knowledge of the radiation budget
Climatologically invariant scale invariance seen in distributions of cloud horizontal sizes
Variability and properties of liquid-dominated clouds over the ice-free and sea-ice-covered Arctic Ocean
Asymmetries in cloud microphysical properties ascribed to sea ice leads via water vapour transport in the central Arctic
Quantifying the dependence of drop spectrum width on cloud drop number concentration for cloud remote sensing
The evolution of deep convective systems and their associated cirrus outflows
Wildfire smoke triggers cirrus formation: lidar observations over the eastern Mediterranean
Rapid saturation of cloud water adjustments to shipping emissions
Sensitivities of cloud radiative effects to large-scale meteorology and aerosols from global observations
Distinct secondary ice production processes observed in radar Doppler spectra: insights from a case study
Detection of large-scale cloud microphysical changes within a major shipping corridor after implementation of the International Maritime Organization 2020 fuel sulfur regulations
Examining cloud vertical structure and radiative effects from satellite retrievals and evaluation of CMIP6 scenarios
Influence of cloud microphysics schemes on weather model predictions of heavy precipitation
Convective organization and 3D structure of tropical cloud systems deduced from synergistic A-Train observations and machine learning
Seasonal controls on isolated convective storm drafts, precipitation intensity, and life cycle as observed during GoAmazon2014/5
Uncertainty in aerosol–cloud radiative forcing is driven by clean conditions
Surface-based observations of cold-air outbreak clouds during the COMBLE field campaign
Boundary layer moisture variability at the Atmospheric Radiation Measurement (ARM) Eastern North Atlantic observatory during marine conditions
George Horner and Edward Gryspeerdt
Atmos. Chem. Phys., 25, 5617–5631, https://doi.org/10.5194/acp-25-5617-2025, https://doi.org/10.5194/acp-25-5617-2025, 2025
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This work tracks the life cycle of thin cirrus clouds that flow out of tropical convective storms. These cirrus clouds are found to have a warming effect on the atmosphere over their whole lifetime. Thin cirrus that originate from land origin convection warm more than those of ocean origin. Moreover, if the lifetime of these cirrus clouds increase, the warming they exert over their whole lifetime also increases. These results help us understand how these clouds might change in a future climate.
Zhenquan Wang
Atmos. Chem. Phys., 25, 5021–5039, https://doi.org/10.5194/acp-25-5021-2025, https://doi.org/10.5194/acp-25-5021-2025, 2025
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Convective anvil outflow directly driven by the shortwave radiative-heating destabilization is strong during the daytime, whereas the outflow contributed by the longwave radiative cooling through radiative destabilization and circulation is weak. This leads to the diurnal variation in the convection-producing anvil clouds, which in turn can influence the radiative energy budget.
Albert Ansmann, Cristofer Jimenez, Johanna Roschke, Johannes Bühl, Kevin Ohneiser, Ronny Engelmann, Martin Radenz, Hannes Griesche, Julian Hofer, Dietrich Althausen, Daniel A. Knopf, Sandro Dahlke, Tom Gaudek, Patric Seifert, and Ulla Wandinger
Atmos. Chem. Phys., 25, 4847–4866, https://doi.org/10.5194/acp-25-4847-2025, https://doi.org/10.5194/acp-25-4847-2025, 2025
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In this study, we focus on the potential impact of wildfire smoke on cirrus formation. For the first time, state-of-the-art aerosol and cirrus observations with lidar and radar, presented in this paper (Part 1 of a series of two articles), are closely linked to the comprehensive modeling of gravity-wave-induced ice nucleation in cirrus evolution processes, presented in a companion paper (Part 2). We found a clear impact of wildfire smoke on cirrus evolution.
Armin Blanke, Mathias Gergely, and Silke Trömel
Atmos. Chem. Phys., 25, 4167–4184, https://doi.org/10.5194/acp-25-4167-2025, https://doi.org/10.5194/acp-25-4167-2025, 2025
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The area-wide radar-based distinction between riming and aggregation is crucial for model microphysics and data assimilation. This study introduces a discrimination algorithm based on polarimetric radar networks only. Exploiting the unique opportunity to link fall velocities from Doppler spectra to polarimetric variables in an operational setting enables us to set up and evaluate a well-performing machine learning algorithm.
Cristina Gil-Díaz, Michäel Sicard, Odran Sourdeval, Athulya Saiprakash, Constantino Muñoz-Porcar, Adolfo Comerón, Alejandro Rodríguez-Gómez, and Daniel Camilo Fortunato dos Santos Oliveira
Atmos. Chem. Phys., 25, 3445–3464, https://doi.org/10.5194/acp-25-3445-2025, https://doi.org/10.5194/acp-25-3445-2025, 2025
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This study presents a comprehensive analysis of optical scattering properties and direct radiative effects of cirrus clouds based on 4 years of continuous ground-based lidar measurements with the Barcelona MPLNET lidar. A novel approach of the self-consistent scattering model for cirrus clouds is presented to determine their optical scattering properties at different wavelengths, and their direct radiative effects are calculated with the discrete ordinates method embedded in the ARTDECO package.
Tom Goren, Goutam Choudhury, Jan Kretzschmar, and Isabel McCoy
Atmos. Chem. Phys., 25, 3413–3423, https://doi.org/10.5194/acp-25-3413-2025, https://doi.org/10.5194/acp-25-3413-2025, 2025
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Many studies have identified an inverted-V relationship between the liquid water path (LWP) and droplet concentration (Nd), where LWP increases and then decreases with Nd. Using satellite observations and meteorological data, we demonstrate that the inverted V primarily reflects co-variability between LWP and Nd. We suggest taking a holistic approach that considers this co-variability when assessing the climatological sensitivity of LWP to anthropogenic aerosols.
Chris J. Wright, Joel A. Thornton, Lyatt Jaeglé, Yang Cao, Yannian Zhu, Jihu Liu, Randall Jones II, Robert Holzworth, Daniel Rosenfeld, Robert Wood, Peter Blossey, and Daehyun Kim
Atmos. Chem. Phys., 25, 2937–2946, https://doi.org/10.5194/acp-25-2937-2025, https://doi.org/10.5194/acp-25-2937-2025, 2025
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Aerosol particles influence clouds, which exert a large forcing on solar radiation and freshwater. To better understand the mechanisms by which aerosol influences thunderstorms, we look at the two busiest shipping lanes in the world, where recent regulations have reduced sulfur emissions by nearly an order of magnitude. We find that the reduction in emissions has been accompanied by a dramatic decrease in both lightning and the number of droplets in clouds over the shipping lanes.
Andrea Kolínská, Ivana Kolmašová, Eric Defer, Ondřej Santolík, and Stéphane Pédeboy
Atmos. Chem. Phys., 25, 1791–1803, https://doi.org/10.5194/acp-25-1791-2025, https://doi.org/10.5194/acp-25-1791-2025, 2025
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We contribute to understanding differences in lightning flashes of opposite polarity by explaining distinct in-cloud processes after return strokes. Using data from multiple sensors, including individual Lightning Mapping Array stations, we reveal that positive flashes sustain strong high-frequency radiation due to the recharging of their in-cloud leader; this is in contrast to negative flashes, for which this activity declines rapidly.
Mengyuan Wang, Min Min, Jun Li, Han Lin, Yongen Liang, Binlong Chen, Zhigang Yao, Na Xu, and Miao Zhang
Atmos. Chem. Phys., 24, 14239–14256, https://doi.org/10.5194/acp-24-14239-2024, https://doi.org/10.5194/acp-24-14239-2024, 2024
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Although machine learning technology is advanced in the field of satellite remote sensing, the physical inversion algorithm based on cloud base height can better capture the daily variation in the characteristics of the cloud base.
Zhenquan Wang and Jian Yuan
Atmos. Chem. Phys., 24, 13811–13831, https://doi.org/10.5194/acp-24-13811-2024, https://doi.org/10.5194/acp-24-13811-2024, 2024
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Tropical convection organizations are normally connected complexes of many convective activities. In this work, a novel variable-brightness-temperature segment tracking algorithm is established to partition the complex convective organizations into structural components of single cold cores for tracking separately. The duration, precipitation and anvil amount of the tracked organization segments have strong loglinear relationships with brightness temperature structures.
Anna Tippett, Edward Gryspeerdt, Peter Manshausen, Philip Stier, and Tristan W. P. Smith
Atmos. Chem. Phys., 24, 13269–13283, https://doi.org/10.5194/acp-24-13269-2024, https://doi.org/10.5194/acp-24-13269-2024, 2024
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Ship emissions can form artificially brightened clouds, known as ship tracks, and provide us with an opportunity to investigate how aerosols interact with clouds. Previous studies that used ship tracks suggest that clouds can experience large increases in the amount of water (LWP) from aerosols. Here, we show that there is a bias in previous research and that, when we account for this bias, the LWP response to aerosols is much weaker than previously reported.
Xiaoting Chen, Claudia J. Stubenrauch, and Giulio Mandorli
EGUsphere, https://doi.org/10.5194/egusphere-2024-3434, https://doi.org/10.5194/egusphere-2024-3434, 2024
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Strongly precipitating mesoscale convective systems produce large diabatic heating of the atmosphere, influencing atmospheric circulation. Their complete 3D description, attained by machine learning techniques in combination with satellite observations, has enabled a detailed study of the relationship between latent and radiative heating in these cloud systems. Convective organization increases both the average and vertical gradient of radiative effects of the mesoscale convective systems.
Kerstin Ebell, Christian Buhren, Rosa Gierens, Giovanni Chellini, Melanie Lauer, Andreas Walbröl, Sandro Dahlke, Pavel Krobot, and Mario Mech
EGUsphere, https://doi.org/10.5194/egusphere-2024-3368, https://doi.org/10.5194/egusphere-2024-3368, 2024
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Ground-based observations of precipitation are rare in the Arctic. In 2017, additional precipitation measurements by a precipitation gauge, a laser disdrometer, and a micro rain radar were established at the Arctic station AWIPEV in Ny-Ålesund, Svalbard. We present statistics on precipitation amount, frequency, and type for the first years of data. Large-scale systems like atmospheric rivers and cyclones strongly contribute to precipitation and, in particular, to extreme precipitation events.
Nikos Benas, Jan Fokke Meirink, Rob Roebeling, and Martin Stengel
EGUsphere, https://doi.org/10.5194/egusphere-2024-3135, https://doi.org/10.5194/egusphere-2024-3135, 2024
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This study examines how ship emissions affect clouds over a shipping corridor in the southeastern Atlantic. Using satellite data from 2004 to 2023, we find that ship emissions increase the number of cloud droplets while reducing their size, and slightly decrease cloud water content. Effects on seasonal and daily patterns vary based on regional factors. The impact of emissions weakened after stricter regulations were implemented in 2020.
Zackary Mages, Pavlos Kollias, Bernat Puigdomenech Treserras, Paloma Borque, and Mariko Oue
EGUsphere, https://doi.org/10.5194/egusphere-2024-2984, https://doi.org/10.5194/egusphere-2024-2984, 2024
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Convective clouds are a key component of the climate system. Using remote sensing observations during two field experiments in Houston, Texas, we identify four diurnal patterns of shallow convective clouds. We find areas more frequently experiencing shallow convective clouds, and we find areas where the vertical extent of shallow convective clouds is higher and where they are more likely to precipitate. This provides insight into the complicated environment that forms these clouds in Houston.
Rebecca J. Murray-Watson and Edward Gryspeerdt
Atmos. Chem. Phys., 24, 11115–11132, https://doi.org/10.5194/acp-24-11115-2024, https://doi.org/10.5194/acp-24-11115-2024, 2024
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The formation of mixed-phase clouds during marine cold-air outbreaks is not well understood. Our study, using satellite data and Lagrangian trajectories, reveals that the occurrence of these clouds depends on both time and temperature, influenced partly by the presence of biological ice-nucleating particles. This highlights the importance of comprehending local aerosol dynamics for precise modelling of cloud-phase transitions in the Arctic.
Yuxin Zhao, Jiming Li, Deyu Wen, Yarong Li, Yuan Wang, and Jianping Huang
Atmos. Chem. Phys., 24, 9435–9457, https://doi.org/10.5194/acp-24-9435-2024, https://doi.org/10.5194/acp-24-9435-2024, 2024
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This study identifies deep convection systems (DCSs), including deep convection cores and anvils, over the Tibetan Plateau (TP) and tropical Indian Ocean (TO). The DCSs over the TP are less frequent, showing narrower and thinner cores and anvils compared to those over the TO. TP DCSs show a stronger longwave cloud radiative effect at the surface and in the low-level atmosphere. Distinct aerosol–cloud–precipitation interaction is found in TP DCSs, probably due to the cold cloud bases.
Grégory V. Cesana, Olivia Pierpaoli, Matteo Ottaviani, Linh Vu, Zhonghai Jin, and Israel Silber
Atmos. Chem. Phys., 24, 7899–7909, https://doi.org/10.5194/acp-24-7899-2024, https://doi.org/10.5194/acp-24-7899-2024, 2024
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Better characterizing the relationship between sea ice and clouds is key to understanding Arctic climate because clouds and sea ice affect surface radiation and modulate Arctic surface warming. Our results indicate that Arctic liquid clouds robustly increase in response to sea ice decrease. This increase has a cooling effect on the surface because more solar radiation is reflected back to space, and it should contribute to dampening future Arctic surface warming.
Ziming Wang, Husi Letu, Huazhe Shang, and Luca Bugliaro
Atmos. Chem. Phys., 24, 7559–7574, https://doi.org/10.5194/acp-24-7559-2024, https://doi.org/10.5194/acp-24-7559-2024, 2024
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The supercooled liquid fraction (SLF) in mixed-phase clouds is retrieved for the first time using passive geostationary satellite observations based on differences in liquid droplet and ice particle radiative properties. The retrieved results are comparable to global distributions observed by active instruments, and the feasibility of the retrieval method to analyze the observed trends of the SLF has been validated.
Barbara Dietel, Odran Sourdeval, and Corinna Hoose
Atmos. Chem. Phys., 24, 7359–7383, https://doi.org/10.5194/acp-24-7359-2024, https://doi.org/10.5194/acp-24-7359-2024, 2024
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Uncertainty with respect to cloud phases over the Southern Ocean and Arctic marine regions leads to large uncertainties in the radiation budget of weather and climate models. This study investigates the phases of low-base and mid-base clouds using satellite-based remote sensing data. A comprehensive analysis of the correlation of cloud phase with various parameters, such as temperature, aerosols, sea ice, vertical and horizontal cloud extent, and cloud radiative effect, is presented.
Ryan Eastman, Isabel L. McCoy, Hauke Schulz, and Robert Wood
Atmos. Chem. Phys., 24, 6613–6634, https://doi.org/10.5194/acp-24-6613-2024, https://doi.org/10.5194/acp-24-6613-2024, 2024
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Cloud types are determined using machine learning image classifiers applied to satellite imagery for 1 year in the North Atlantic. This survey of these cloud types shows that the climate impact of a cloud scene is, in part, a function of cloud type. Each type displays a different mix of thick and thin cloud cover, with the fraction of thin cloud cover having the strongest impact on the clouds' radiative effect. Future studies must account for differing properties and processes among cloud types.
Thomas Lesigne, François Ravetta, Aurélien Podglajen, Vincent Mariage, and Jacques Pelon
Atmos. Chem. Phys., 24, 5935–5952, https://doi.org/10.5194/acp-24-5935-2024, https://doi.org/10.5194/acp-24-5935-2024, 2024
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Upper tropical clouds have a strong impact on Earth's climate but are challenging to observe. We report the first long-duration observations of tropical clouds from lidars flying on board stratospheric balloons. Comparisons with spaceborne observations reveal the enhanced sensitivity of balloon-borne lidar to optically thin cirrus. These clouds, which have a significant coverage and lie in the uppermost troposphere, are linked with the dehydration of air masses on their way to the stratosphere.
Georgios Dekoutsidis, Martin Wirth, and Silke Groß
Atmos. Chem. Phys., 24, 5971–5987, https://doi.org/10.5194/acp-24-5971-2024, https://doi.org/10.5194/acp-24-5971-2024, 2024
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For decades the earth's temperature has been rising. The Arctic regions are warming faster. Cirrus clouds can contribute to this phenomenon. During warm-air intrusions, air masses are transported into the Arctic from the mid-latitudes. The HALO-(AC)3 campaign took place to measure cirrus during intrusion events and under normal conditions. We study the two cloud types based on these measurements and find differences in their geometry, relative humidity distribution and vertical structure.
Huige Di and Yun Yuan
Atmos. Chem. Phys., 24, 5783–5801, https://doi.org/10.5194/acp-24-5783-2024, https://doi.org/10.5194/acp-24-5783-2024, 2024
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We observed the seeder–feeder process among double-layer clouds using a cloud radar and microwave radiometer. By defining the parameters of the seeding depth and seeding time of the upper cloud affecting the lower cloud, we find that the cloud particle terminal velocity is significantly enhanced during the seeder–feeder period, and the lower the height and thinner the thickness of the height difference between double-layer clouds, the lower the height and thicker the thickness of seeding depth.
Kristofer S. Tuftedal, Bernat Puigdomènech Treserras, Mariko Oue, and Pavlos Kollias
Atmos. Chem. Phys., 24, 5637–5657, https://doi.org/10.5194/acp-24-5637-2024, https://doi.org/10.5194/acp-24-5637-2024, 2024
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This study analyzed coastal convective cells from June through September 2018–2021. The cells were classified and their lifecycles were analyzed to better understand their characteristics. Features such as convective-core growth, for example, are shown. The study found differences in the initiation location of shallow convection and in the aerosol loading in deep convective environments. This work provides a foundation for future analyses of convection or other tracked events elsewhere.
Michie Vianca De Vera, Larry Di Girolamo, Guangyu Zhao, Robert M. Rauber, Stephen W. Nesbitt, and Greg M. McFarquhar
Atmos. Chem. Phys., 24, 5603–5623, https://doi.org/10.5194/acp-24-5603-2024, https://doi.org/10.5194/acp-24-5603-2024, 2024
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Tropical oceanic low clouds remain a dominant source of uncertainty in cloud feedback in climate models due to their macrophysical properties (fraction, size, height, shape, distribution) being misrepresented. High-resolution satellite imagery over the Philippine oceans is used here to characterize cumulus macrophysical properties and their relationship to meteorological variables. Such information can act as a benchmark for cloud models and can improve low-cloud generation in climate models.
William K. Jones, Martin Stengel, and Philip Stier
Atmos. Chem. Phys., 24, 5165–5180, https://doi.org/10.5194/acp-24-5165-2024, https://doi.org/10.5194/acp-24-5165-2024, 2024
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Storm clouds cover large areas of the tropics. These clouds both reflect incoming sunlight and trap heat from the atmosphere below, regulating the temperature of the tropics. Over land, storm clouds occur in the late afternoon and evening and so exist both during the daytime and at night. Changes in this timing could upset the balance of the respective cooling and heating effects of these clouds. We find that isolated storms have a larger effect on this balance than their small size suggests.
Shaoyue Qiu, Xue Zheng, David Painemal, Christopher R. Terai, and Xiaoli Zhou
Atmos. Chem. Phys., 24, 2913–2935, https://doi.org/10.5194/acp-24-2913-2024, https://doi.org/10.5194/acp-24-2913-2024, 2024
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The aerosol indirect effect (AIE) depends on cloud states, which exhibit significant diurnal variations in the northeastern Atlantic. Yet the AIE diurnal cycle remains poorly understood. Using satellite retrievals, we find a pronounced “U-shaped” diurnal variation in the AIE, which is contributed to by the transition of cloud states combined with the lagged cloud responses. This suggests that polar-orbiting satellites with overpass times at noon underestimate daytime mean values of the AIE.
Irene Bartolomé García, Odran Sourdeval, Reinhold Spang, and Martina Krämer
Atmos. Chem. Phys., 24, 1699–1716, https://doi.org/10.5194/acp-24-1699-2024, https://doi.org/10.5194/acp-24-1699-2024, 2024
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How many ice crystals of each size are in a cloud is a key parameter for the retrieval of cloud properties. The distribution of ice crystals is obtained from in situ measurements and used to create parameterizations that can be used when analyzing the remote-sensing data. Current parameterizations are based on data sets that do not include reliable measurements of small crystals, but in our study we use a data set that includes very small ice crystals to improve these parameterizations.
Wenyue Wang, Klemens Hocke, Leonardo Nania, Alberto Cazorla, Gloria Titos, Renaud Matthey, Lucas Alados-Arboledas, Agustín Millares, and Francisco Navas-Guzmán
Atmos. Chem. Phys., 24, 1571–1585, https://doi.org/10.5194/acp-24-1571-2024, https://doi.org/10.5194/acp-24-1571-2024, 2024
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The south-central interior of Andalusia experiences complex precipitation patterns as a result of the semi-arid Mediterranean climate and the influence of Saharan dust. This study monitored the inter-relations between aerosols, clouds, meteorological variables, and precipitation systems using ground-based remote sensing and in situ instruments.
Francisco Lang, Steven T. Siems, Yi Huang, Tahereh Alinejadtabrizi, and Luis Ackermann
Atmos. Chem. Phys., 24, 1451–1466, https://doi.org/10.5194/acp-24-1451-2024, https://doi.org/10.5194/acp-24-1451-2024, 2024
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Marine low-level clouds play a crucial role in the Earth's energy balance, trapping heat from the surface and reflecting sunlight back into space. These clouds are distinguishable by their large-scale spatial structures, primarily characterized as hexagonal patterns with either filled (closed) or empty (open) cells. Utilizing satellite observations, these two cloud type patterns have been categorized over the Southern Ocean and North Pacific Ocean through a pattern recognition program.
Julian Hofer, Patric Seifert, J. Ben Liley, Martin Radenz, Osamu Uchino, Isamu Morino, Tetsu Sakai, Tomohiro Nagai, and Albert Ansmann
Atmos. Chem. Phys., 24, 1265–1280, https://doi.org/10.5194/acp-24-1265-2024, https://doi.org/10.5194/acp-24-1265-2024, 2024
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An 11-year dataset of polarization lidar observations from Lauder, New Zealand / Aotearoa, was used to distinguish the thermodynamic phase of natural clouds. The cloud dataset was separated to assess the impact of air mass origin on the frequency of heterogeneous ice formation. Ice formation efficiency in clouds above Lauder was found to be lower than in the polluted Northern Hemisphere midlatitudes but higher than in very clean and pristine environments, such as Punta Arenas in southern Chile.
Hannes Jascha Griesche, Carola Barrientos-Velasco, Hartwig Deneke, Anja Hünerbein, Patric Seifert, and Andreas Macke
Atmos. Chem. Phys., 24, 597–612, https://doi.org/10.5194/acp-24-597-2024, https://doi.org/10.5194/acp-24-597-2024, 2024
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The Arctic is strongly affected by climate change and the role of clouds therein is not yet completely understood. Measurements from the Arctic expedition PS106 were used to simulate radiative fluxes with and without clouds at very low altitudes (below 165 m), and their radiative effect was calculated to be 54 Wm-2. The low heights of these clouds make them hard to observe. This study shows the importance of accurate measurements and simulations of clouds and gives suggestions for improvements.
Thomas D. DeWitt, Timothy J. Garrett, Karlie N. Rees, Corey Bois, Steven K. Krueger, and Nicolas Ferlay
Atmos. Chem. Phys., 24, 109–122, https://doi.org/10.5194/acp-24-109-2024, https://doi.org/10.5194/acp-24-109-2024, 2024
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Viewed from space, a defining feature of Earth's atmosphere is the wide spectrum of cloud sizes. A recent study predicted the distribution of cloud sizes, and this paper compares the prediction to observations. Although there is nuance in viewing perspective, we find robust agreement with theory across different climatological conditions, including land–ocean contrasts, time of year, or latitude, suggesting a minor role for Coriolis forces, aerosol loading, or surface temperature.
Marcus Klingebiel, André Ehrlich, Elena Ruiz-Donoso, Nils Risse, Imke Schirmacher, Evelyn Jäkel, Michael Schäfer, Kevin Wolf, Mario Mech, Manuel Moser, Christiane Voigt, and Manfred Wendisch
Atmos. Chem. Phys., 23, 15289–15304, https://doi.org/10.5194/acp-23-15289-2023, https://doi.org/10.5194/acp-23-15289-2023, 2023
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In this study we explain how we use aircraft measurements from two Arctic research campaigns to identify cloud properties (like droplet size) over sea-ice and ice-free ocean. To make sure that our measurements make sense, we compare them with other observations. Our results show, e.g., larger cloud droplets in early summer than in spring. Moreover, the cloud droplets are also larger over ice-free ocean than compared to sea ice. In the future, our data can be used to improve climate models.
Pablo Saavedra Garfias, Heike Kalesse-Los, Luisa von Albedyll, Hannes Griesche, and Gunnar Spreen
Atmos. Chem. Phys., 23, 14521–14546, https://doi.org/10.5194/acp-23-14521-2023, https://doi.org/10.5194/acp-23-14521-2023, 2023
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An important Arctic climate process is the release of heat fluxes from sea ice openings to the atmosphere that influence the clouds. The characterization of this process is the objective of this study. Using synergistic observations from the MOSAiC expedition, we found that single-layer cloud properties show significant differences when clouds are coupled or decoupled to the water vapour transport which is used as physical link between the upwind sea ice openings and the cloud under observation.
Matthew D. Lebsock and Mikael Witte
Atmos. Chem. Phys., 23, 14293–14305, https://doi.org/10.5194/acp-23-14293-2023, https://doi.org/10.5194/acp-23-14293-2023, 2023
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This paper evaluates measurements of cloud drop size distributions made from airplanes. We find that as the number of cloud drops increases the distribution of the cloud drop sizes narrows. The data are used to develop a simple equation that relates the drop number to the width of the drop sizes. We then use this equation to demonstrate that existing approaches to observe the drop number from satellites contain errors that can be corrected by including the new relationship.
George Horner and Edward Gryspeerdt
Atmos. Chem. Phys., 23, 14239–14253, https://doi.org/10.5194/acp-23-14239-2023, https://doi.org/10.5194/acp-23-14239-2023, 2023
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Tropical deep convective clouds, and the thin cirrus (ice) clouds that flow out from them, are important for modulating the energy budget of the tropical atmosphere. This work uses a new method to track the evolution of the properties of these clouds across their entire lifetimes. We find these clouds cool the atmosphere in the first 6 h before switching to a warming regime after the deep convective core has dissipated, which is sustained beyond 120 h from the initial convective event.
Rodanthi-Elisavet Mamouri, Albert Ansmann, Kevin Ohneiser, Daniel A. Knopf, Argyro Nisantzi, Johannes Bühl, Ronny Engelmann, Annett Skupin, Patric Seifert, Holger Baars, Dragos Ene, Ulla Wandinger, and Diofantos Hadjimitsis
Atmos. Chem. Phys., 23, 14097–14114, https://doi.org/10.5194/acp-23-14097-2023, https://doi.org/10.5194/acp-23-14097-2023, 2023
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For the first time, rather clear evidence is found that wildfire smoke particles can trigger strong cirrus formation. This finding is of importance because intensive and large wildfires may occur increasingly often in the future as climate change proceeds. Based on lidar observations in Cyprus in autumn 2020, we provide detailed insight into the cirrus formation at the tropopause in the presence of aged wildfire smoke (here, 8–9 day old Californian wildfire smoke).
Peter Manshausen, Duncan Watson-Parris, Matthew W. Christensen, Jukka-Pekka Jalkanen, and Philip Stier
Atmos. Chem. Phys., 23, 12545–12555, https://doi.org/10.5194/acp-23-12545-2023, https://doi.org/10.5194/acp-23-12545-2023, 2023
Short summary
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Aerosol from burning fuel changes cloud properties, e.g., the number of droplets and the content of water. Here, we study how clouds respond to different amounts of shipping aerosol. Droplet numbers increase linearly with increasing aerosol over a broad range until they stop increasing, while the amount of liquid water always increases, independently of emission amount. These changes in cloud properties can make them reflect more or less sunlight, which is important for the earth's climate.
Hendrik Andersen, Jan Cermak, Alyson Douglas, Timothy A. Myers, Peer Nowack, Philip Stier, Casey J. Wall, and Sarah Wilson Kemsley
Atmos. Chem. Phys., 23, 10775–10794, https://doi.org/10.5194/acp-23-10775-2023, https://doi.org/10.5194/acp-23-10775-2023, 2023
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This study uses an observation-based cloud-controlling factor framework to study near-global sensitivities of cloud radiative effects to a large number of meteorological and aerosol controls. We present near-global sensitivity patterns to selected thermodynamic, dynamic, and aerosol factors and discuss the physical mechanisms underlying the derived sensitivities. Our study hopes to guide future analyses aimed at constraining cloud feedbacks and aerosol–cloud interactions.
Anne-Claire Billault-Roux, Paraskevi Georgakaki, Josué Gehring, Louis Jaffeux, Alfons Schwarzenboeck, Pierre Coutris, Athanasios Nenes, and Alexis Berne
Atmos. Chem. Phys., 23, 10207–10234, https://doi.org/10.5194/acp-23-10207-2023, https://doi.org/10.5194/acp-23-10207-2023, 2023
Short summary
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Secondary ice production plays a key role in clouds and precipitation. In this study, we analyze radar measurements from a snowfall event in the Jura Mountains. Complex signatures are observed, which reveal that ice crystals were formed through various processes. An analysis of multi-sensor data suggests that distinct ice multiplication processes were taking place. Both the methods used and the insights gained through this case study contribute to a better understanding of snowfall microphysics.
Michael S. Diamond
Atmos. Chem. Phys., 23, 8259–8269, https://doi.org/10.5194/acp-23-8259-2023, https://doi.org/10.5194/acp-23-8259-2023, 2023
Short summary
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Fuel sulfur regulations were implemented for ships in 2020 to improve air quality but may also accelerate global warming. We use spatial statistics and satellite retrievals to detect changes in the size of cloud droplets and find evidence for a resulting decrease in cloud brightness within a major shipping corridor after the sulfur limits went into effect. Our results confirm both that the regulations are being followed and that they are having a warming influence via their effect on clouds.
Hao Luo, Johannes Quaas, and Yong Han
Atmos. Chem. Phys., 23, 8169–8186, https://doi.org/10.5194/acp-23-8169-2023, https://doi.org/10.5194/acp-23-8169-2023, 2023
Short summary
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Clouds exhibit a wide range of vertical structures with varying microphysical and radiative properties. We show a global survey of spatial distribution, vertical extent and radiative effect of various classified cloud vertical structures using joint satellite observations from the new CCCM datasets during 2007–2010. Moreover, the long-term trends in CVSs are investigated based on different CMIP6 future scenarios to capture the cloud variations with different, increasing anthropogenic forcings.
Gregor Köcher, Tobias Zinner, and Christoph Knote
Atmos. Chem. Phys., 23, 6255–6269, https://doi.org/10.5194/acp-23-6255-2023, https://doi.org/10.5194/acp-23-6255-2023, 2023
Short summary
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Polarimetric radar observations of 30 d of convective precipitation events are used to statistically analyze 5 state-of-the-art microphysics schemes of varying complexity. The frequency and area of simulated heavy-precipitation events are in some cases significantly different from those observed, depending on the microphysics scheme. Analysis of simulated particle size distributions and reflectivities shows that some schemes have problems reproducing the correct particle size distributions.
Claudia J. Stubenrauch, Giulio Mandorli, and Elisabeth Lemaitre
Atmos. Chem. Phys., 23, 5867–5884, https://doi.org/10.5194/acp-23-5867-2023, https://doi.org/10.5194/acp-23-5867-2023, 2023
Short summary
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Organized convection leads to large convective cloud systems and intense rain and may change with a warming climate. Their complete 3D description, attained by machine learning techniques in combination with various satellite observations, together with a cloud system concept, link convection to anvil properties, while convective organization can be identified by the horizontal structure of intense rain.
Scott E. Giangrande, Thiago S. Biscaro, and John M. Peters
Atmos. Chem. Phys., 23, 5297–5316, https://doi.org/10.5194/acp-23-5297-2023, https://doi.org/10.5194/acp-23-5297-2023, 2023
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Our study tracks thunderstorms observed during the wet and dry seasons of the Amazon Basin using weather radar. We couple this precipitation tracking with opportunistic overpasses of a wind profiler and other ground observations to add unique insights into the upwards and downwards air motions within these clouds at various stages in the storm life cycle. The results of a simple updraft model are provided to give physical explanations for observed seasonal differences.
Edward Gryspeerdt, Adam C. Povey, Roy G. Grainger, Otto Hasekamp, N. Christina Hsu, Jane P. Mulcahy, Andrew M. Sayer, and Armin Sorooshian
Atmos. Chem. Phys., 23, 4115–4122, https://doi.org/10.5194/acp-23-4115-2023, https://doi.org/10.5194/acp-23-4115-2023, 2023
Short summary
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The impact of aerosols on clouds is one of the largest uncertainties in the human forcing of the climate. Aerosol can increase the concentrations of droplets in clouds, but observational and model studies produce widely varying estimates of this effect. We show that these estimates can be reconciled if only polluted clouds are studied, but this is insufficient to constrain the climate impact of aerosol. The uncertainty in aerosol impact on clouds is currently driven by cases with little aerosol.
Zackary Mages, Pavlos Kollias, Zeen Zhu, and Edward P. Luke
Atmos. Chem. Phys., 23, 3561–3574, https://doi.org/10.5194/acp-23-3561-2023, https://doi.org/10.5194/acp-23-3561-2023, 2023
Short summary
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Cold-air outbreaks (when cold air is advected over warm water and creates low-level convection) are a dominant cloud regime in the Arctic, and we capitalized on ground-based observations, which did not previously exist, from the COMBLE field campaign to study them. We characterized the extent and strength of the convection and turbulence and found evidence of secondary ice production. This information is useful for model intercomparison studies that will represent cold-air outbreak processes.
Maria P. Cadeddu, Virendra P. Ghate, David D. Turner, and Thomas E. Surleta
Atmos. Chem. Phys., 23, 3453–3470, https://doi.org/10.5194/acp-23-3453-2023, https://doi.org/10.5194/acp-23-3453-2023, 2023
Short summary
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We analyze the variability in marine boundary layer moisture at the Eastern North Atlantic site on a monthly and daily temporal scale and examine its fundamental role in the control of boundary layer cloudiness and precipitation. The study also highlights the complex interaction between large-scale and local processes controlling the boundary layer moisture and the importance of the mesoscale spatial distribution of vapor to support convection and precipitation.
Cited articles
Abel, S. J., Boutle, I. A., Waite, K., Fox, S., Brown, P. R. A., Cotton, R.,
Lloyd, G., Choularton, T. W., and Bower, K. N.: The Role of Precipitation
in Controlling the Transition from Stratocumulus to Cumulus Clouds
in a Northern Hemisphere Cold-Air Outbreak, J.
Atmos. Sci., 74, 2293–2314, https://doi.org/10.1175/JAS-D-16-0362.1, 2017. a, b, c, d, e, f, g, h, i, j, k
Albrecht, B. A.: Aerosols, Cloud Microphysics, and Fractional Cloudiness,
Science, 245, 1227–1230, https://doi.org/10.1126/science.245.4923.1227, 1989. a
Bender, F. A.-M., Charlson, R. J., Ekman, A. M. L., and Leahy, L. V.:
Quantification of Monthly Mean Regional-Scale Albedo of Marine Stratiform
Clouds in Satellite Observations and GCMs, J. Appl. Meteorol.
Climatol., 50, 2139–2148, https://doi.org/10.1175/JAMC-D-11-049.1, 2011. a
Bennartz, R.: Global assessment of marine boundary layer cloud droplet number
concentration from satellite, J. Geophys. Res.-Atmos.,
112, D02201, https://doi.org/10.1029/2006JD007547, 2007. a
Bigg, E. K. and Leck, C.: Cloud-active particles over the central Arctic Ocean,
J. Geophys. Res.-Atmos., 106, 32155–32166,
https://doi.org/10.1029/1999JD901152, 2001. a
Bodas-Salcedo, A., Andrews, T., Karmalkar, A. V., and Ringer, M. A.: Cloud
liquid water path and radiative feedbacks over the Southern Ocean,
Geophys. Res. Lett., 43, 10938–10946,
https://doi.org/10.1002/2016GL070770, 2016. a
Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster,
P., Kerminen, V.-M., Kondo, Y., Liao, H., Lohmann, U., Rasch, P., Satheesh,
S. K., Sherwood, S., Stevens, B., and Zhang, X. Y.: Clouds and aerosols, 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. F., Qin, D., Plattner, G.-K., Tignor,
M., Allen, S. K., Doschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley,
P. M., 571–657, Cambridge University Press, Cambridge, UK,
https://doi.org/10.1017/CBO9781107415324.016, 2013. a
Brenguier, J.-L., Pawlowska, H., Schüller, L., Preusker, R., Fischer, J., and
Fouquart, Y.: Radiative Properties of Boundary Layer Clouds: Droplet
Effective Radius versus Number Concentration, J. Atmos.
Sci., 57, 803–821,
https://doi.org/10.1175/1520-0469(2000)057<0803:RPOBLC>2.0.CO;2, 2000. a
Bretherton, C. S. and Wyant, M. C.: Moisture Transport, Lower-Tropospheric
Stability, and Decoupling of Cloud-Topped Boundary Layers, J.
Atmos. Sci., 54, 148–167,
https://doi.org/10.1175/1520-0469(1997)054<0148:MTLTSA>2.0.CO;2, 1997. a
Brümmer, B.: Boundary-layer modification in wintertime cold-air outbreaks
from the Arctic sea ice, Bound.-Lay. Meteorol., 80, 109–125,
https://doi.org/10.1007/BF00119014, 1996. a
Brümmer, B.: Roll and Cell Convection in Wintertime Arctic Cold-Air Outbreaks,
J. Atmos. Sci., 56, 2613–2636,
https://doi.org/10.1175/1520-0469(1999)056<2613:RACCIW>2.0.CO;2, 1999. a
Bühl, J., Ansmann, A., Seifert, P., Baars, H., and Engelmann, R.: Toward a
quantitative characterization of heterogeneous ice formation with
lidar/radar: Comparison of CALIPSO/CloudSat with ground-based observations,
Geophys. Res. Lett., 40, 4404–4408,
https://doi.org/10.1002/grl.50792, 2013. a
Ceccaldi, M., Delanoë, J., Hogan, R. J., Pounder, N. L., Protat, A., and
Pelon, J.: From CloudSat-CALIPSO to EarthCare: Evolution of the DARDAR cloud
classification and its comparison to airborne radar-lidar observations,
J. Geophys. Res.-Atmos., 118, 7962–7981,
https://doi.org/10.1002/jgrd.50579, 2013. a
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. a
Cesana, G. V., Khadir, T., Chepfer, H., and Chiriaco, M.: Southern Ocean Solar
Reflection Biases in CMIP6 Models Linked to Cloud Phase and Vertical
Structure Representations, Geophys. Res. Lett., 49, e2022GL099777,
https://doi.org/10.1029/2022GL099777, 2022. a
Chan, M. A. and Comiso, J. C.: Arctic Cloud Characteristics as Derived from
MODIS, CALIPSO, and CloudSat, J. Clim., 26, 3285–3306,
https://doi.org/10.1175/JCLI-D-12-00204.1, 2013. a
Chen, Y., Haywood, J., Wang, Y., Malavelle, F., Jordan, G., Partridge, D.,
Fieldsend, J., De Leeuw, J., Schmidt, A., Cho, N., Oreopoulos, L., Platnick,
S., Grosvenor, D., Field, P., and Lohmann, U.: Machine learning reveals
climate forcing from aerosols is dominated by increased cloud cover, Nat.
Geosci., 15, 609–614, https://doi.org/10.1038/s41561-022-00991-6, 2022. a
Chen, Y.-C., Christensen, M., Stephens, G., and Seinfeld, J.: Satellite-based
estimate of global aerosol–cloud radiative forcing by marine warm clouds,
Nat. Geosci., 7, 643–646,
https://doi.org/10.1038/ngeo2214, 2014. a
Choi, Y.-S., Kim, B.-M., Hur, S.-K., Kim, S.-J., Kim, J.-H., and Ho, C.-H.:
Connecting early summer cloud-controlled sunlight and late summer sea ice in
the Arctic, J. Geophys. Res.-Atmos., 119,
11087–11099, https://doi.org/10.1002/2014JD022013, 2014. a
Christensen, M. W., Jones, W. K., and Stier, P.: Aerosols enhance cloud
lifetime and brightness along the stratus-to-cumulus transition, P. Natl. Acad. Sci. USA, 117,
17591–17598, https://doi.org/10.1073/pnas.1921231117, 2020. a, b, c
Creamean, J. M., Barry, K., Hill, T. C. J., Hume, C., DeMott, P. J., Shupe,
M. D., Dahlke, S., Willmes, S., Schmale, J., Beck, I., Hoppe, C. J. M., Fong,
A., Chamberlain, E., Bowman, J., Scharien, R., and Persson, O.: Annual cycle
observations of aerosols capable of ice formation in central Arctic clouds,
Nat. Commun., 13, 3537, https://doi.org/10.1038/s41467-022-31182-x, 2022. a
Curry, J. A. and Ebert, E. E.: Annual Cycle of Radiation Fluxes over the Arctic
Ocean: Sensitivity to Cloud Optical Properties, J. Clim., 5, 1267–1280, https://doi.org/10.1175/1520-0442(1992)005<1267:ACORFO>2.0.CO;2, 1992. a
Dadashazar, H., Painemal, D., Alipanah, M., Brunke, M., Chellappan, S., Corral,
A. F., Crosbie, E., Kirschler, S., Liu, H., Moore, R. H., Robinson, C.,
Scarino, A. J., Shook, M., Sinclair, K., Thornhill, K. L., Voigt, C., Wang,
H., Winstead, E., Zeng, X., Ziemba, L., Zuidema, P., and Sorooshian, A.:
Cloud drop number concentrations over the western North Atlantic Ocean:
seasonal cycle, aerosol interrelationships, and other influential factors,
Atmos. Chem. Phys., 21, 10499–10526,
https://doi.org/10.5194/acp-21-10499-2021, 2021. a
de Boer, G., Eloranta, E. W., 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. a
Delanoë, J. and Hogan, R. J.: Combined CloudSat-CALIPSO-MODIS retrievals of
the properties of ice clouds, J. Geophys. Res.-Atmos.,
115,
D00H29,
https://doi.org/10.1029/2009JD012346, 2010. a
DiGirolamo, N., Parkinson, C. L., D. J. Cavalieri, P. G., and Zwally., H. J.:
Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive
Microwave Data, Version 2, https://doi.org/10.5067/MPYG15WAA4WX, 2022. a, b
Engström, A. and Ekman, A. M. L.: Impact of meteorological factors on the
correlation between aerosol optical depth and cloud fraction, Geophys. Res. Lett., 37, L18814, https://doi.org/10.1029/2010GL044361, 2010. a
Field, P. R., Cotton, R. J., McBeath, K., Lock, A. P., Webster, S., and Allan,
R. P.: Improving a convection-permitting model simulation of a cold air
outbreak, Q. J. Roy. Meteor. Soc., 140,
124–138, https://doi.org/10.1002/qj.2116, 2014. a
Field, P. R., Broz̆ková, R., Chen, M., Dudhia, J., Lac, C., Hara, T.,
Honnert, R., Olson, J., Siebesma, P., de Roode, S., Tomassini, L., Hill, A.,
and McTaggart-Cowan, R.: Exploring the convective grey zone with regional
simulations of a cold air outbreak, Q. J. Roy.
Meteor. Soc., 143, 2537–2555,
https://doi.org/10.1002/qj.3105, 2017. a
Geerts, B., Giangrande, S. E., McFarquhar, G. M., Xue, L., Abel, S. J.,
Comstock, J. M., Crewell, S., DeMott, P. J., Ebell, K., Field, P., Hill, T.
C. J., Hunzinger, A., Jensen, M. P., Johnson, K. L., Juliano, T. W., Kollias,
P., Kosovic, B., Lackner, C., Luke, E., Lüpkes, C., Matthews, A. A.,
Neggers, R., Ovchinnikov, M., Powers, H., Shupe, M. D., Spengler, T.,
Swanson, B. E., Tjernström, M., Theisen, A. K., Wales, N. A., Wang, Y.,
Wendisch, M., and Wu, P.: The COMBLE campaign: a study of marine
boundary-layer clouds in Arctic cold-air outbreaks, Bull.
Am. Meteorol. Soc., 1, E1371–E1389, https://doi.org/10.1175/BAMS-D-21-0044.1, 2022. a
Goren, T., Kazil, J., Hoffmann, F., Yamaguchi, T., and Feingold, G.:
Anthropogenic Air Pollution Delays Marine Stratocumulus Breakup to Open
Cells, Geophys. Res. Lett., 46, 14135–14144,
https://doi.org/10.1029/2019GL085412, 2019. a, b
Goren, T., Feingold, G., Gryspeerdt, E., Kazil, J., Kretzschmar, J., Jia, H.,
and Quaas, J.: Projecting Stratocumulus Transitions on the Albedo – Cloud
Fraction Relationship Reveals Linearity of Albedo to Droplet Concentrations,
Geophys. Res. Lett., 49, e2022GL101169,
https://doi.org/10.1029/2022GL101169, 2022. a
Grosvenor, D. P. and Wood, R.: The effect of solar zenith angle on MODIS cloud
optical and microphysical retrievals within marine liquid water clouds,
Atmos. Chem. Phys., 14, 7291–7321,
https://doi.org/10.5194/acp-14-7291-2014, 2014. a, b, c, d
Gryspeerdt, E., Stier, P., and Partridge, D. G.: Satellite observations of
cloud regime development: the role of aerosol processes, Atmos.
Chem. Phys., 14, 1141–1158, https://doi.org/10.5194/acp-14-1141-2014, 2014. a, b
Gryspeerdt, E., Quaas, J., and Bellouin, N.: Constraining the aerosol influence
on cloud fraction, J. Geophys. Res.-Atmos., 121,
3566–3583, https://doi.org/10.1002/2015JD023744, 2016. a, b
Gryspeerdt, E., Goren, T., Sourdeval, O., Quaas, J., Mülmenstädt, J., Dipu,
S., Unglaub, C., Gettelman, A., and Christensen, M.: Constraining the aerosol
influence on cloud liquid water path, Atmos. Chem. Phys., 19,
5331–5347, https://doi.org/10.5194/acp-19-5331-2019, 2019a. a
Gryspeerdt, E., Smith, T. W. P., O'Keeffe, E., Christensen, M. W., and
Goldsworth, F. W.: The Impact of Ship Emission Controls Recorded by Cloud
Properties, Geophys. Res. Lett., 46, 12547–12555,
https://doi.org/10.1029/2019GL084700, 2019b. a
Gryspeerdt, E., Goren, T., and Smith, T. W. P.: Observing the timescales of
aerosol–cloud interactions in snapshot satellite images, Atmos. Chem. Phys., 21, 6093–6109, https://doi.org/10.5194/acp-21-6093-2021, 2021. a
Hartmann, J., Kottmeier, C., and Raasch, S.: Roll Vortices and Boundary-Layer
Development during a Cold Air Outbreak, Bound.-Lay. Meteorol., 84,
45–65, https://doi.org/10.1023/A:1000392931768, 1997. a
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A.,
Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons,
A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati,
G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D.,
Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer,
A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M.,
Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P.,
Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 global
reanalysis, Q. J. Roy. Meteor. Soc., 146,
1999–2049, https://doi.org/10.1002/qj.3803, 2020. a, b
Horner, G. A. and Gryspeerdt, E.: The evolution of deep convective systems and their associated cirrus outflows, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-755, in review, 2022. a
Huang, Y., Dong, X., Xi, B., Dolinar, E. K., and Stanfield, R. E.: The
footprints of 16 year trends of Arctic springtime cloud and radiation
properties on September sea ice retreat, J. Geophys. Res.-Atmos., 122, 2179–2193, https://doi.org/10.1002/2016JD026020,
2017. a
Huang, Y., Taylor, P. C., Rose, F. G., Rutan, D. A., Shupe, M. D., Webster,
M. A., and Smith, M. M.: Toward a more realistic representation of surface
albedo in NASA CERES-derived surface radiative fluxes: A comparison with the
MOSAiC field campaign: Comparison of CERES and MOSAiC surface radiation
fluxes, Elementa, 10, 1,
https://doi.org/10.1525/elementa.2022.00013, 00013, 2022. a
Inness, A., Ades, M., Agustí-Panareda, A., Barré, J., Benedictow, A.,
Blechschmidt, A.-M., Dominguez, J. J., Engelen, R., Eskes, H., Flemming, J.,
Huijnen, V., Jones, L., Kipling, Z., Massart, S., Parrington, M., Peuch,
V.-H., Razinger, M., Remy, S., Schulz, M., and Suttie, M.: The CAMS
reanalysis of atmospheric composition, Atmos. Chem. Phys., 19,
3515–3556, https://doi.org/10.5194/acp-19-3515-2019, 2019. a, b
Jing, X. and Suzuki, K.: The Impact of Process-Based Warm Rain Constraints on
the Aerosol Indirect Effect, Geophys. Res. Lett., 45,
10729–10737, https://doi.org/10.1029/2018GL079956, 2018. a
Karalis, M., Sotiropoulou, G., Abel, S. J., Bossioli, E., Georgakaki, P.,
Methymaki, G., Nenes, A., and Tombrou, M.: Effects of secondary ice processes
on a stratocumulus to cumulus transition during a cold-air outbreak,
Atmos. Res., 277, 106302,
https://doi.org/10.1016/j.atmosres.2022.106302, 2022. a
Kato, S. and Marshak, A.: Solar zenith and viewing geometry-dependent errors in
satellite retrieved cloud optical thickness: Marine stratocumulus case,
J. Geophys. Res.-Atmos., 114, 4501–4527,
https://doi.org/10.1029/2008JD010579, 2009. a
Kato, S., Rose, F. G., Rutan, D. A., Thorsen, T. J., Loeb, N. G., Doelling,
D. R., Huang, X., Smith, W. L., Su, W., and Ham, S.-H.: Surface Irradiances
of Edition 4.0 Clouds and the Earth’s Radiant Energy System (CERES) Energy
Balanced and Filled (EBAF) Data Product, J. Clim., 31, 4501–4527, https://doi.org/10.1175/JCLI-D-17-0523.1, 2018. a
Kay, J., L'Ecuyer, T., Chepfer, H., Loeb, N., Morrison, A., and Cesana, G.:
Recent Advances in Arctic Cloud and Climate Research, Curr. Clim. Change
Rep., 2, 159–169, https://doi.org/10.1007/s40641-016-0051-9, 2016. a
Khanal, S. and Wang, Z.: Uncertainties in MODIS-Based Cloud Liquid Water Path
Retrievals at High Latitudes Due to Mixed-Phase Clouds and Cloud Top Height
Inhomogeneity, J. Geophys. Res.-Atmos., 123,
11154–11172, https://doi.org/10.1029/2018JD028558, 2018. a
Klein, S. A. and Hartmann, D. L.: The Seasonal Cycle of Low Stratiform Clouds,
J. Clim., 6, 1587–1606,
https://doi.org/10.1175/1520-0442(1993)006<1587:TSCOLS>2.0.CO;2, 1993. a
Kolstad, E. W.: Higher ocean wind speeds during marine cold air outbreaks,
Q. J. Roy. Meteor. Soc., 143, 2084–2092,
https://doi.org/10.1002/qj.3068, 2017. a
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, https://doi.org/10.1007/s00382-007-0331-0, 2008. a, b, c, d
Landgren, O. A., Seierstad, I. A., and Iversen, T.: Projected future changes in
Marine Cold-Air Outbreaks associated with Polar Lows in the Northern
North-Atlantic Ocean, Clim. Dynam., 53, 2573–2585,
https://doi.org/10.1007/s00382-019-04642-2, 2019. a
Leck, C. and Persson, C.: The central Arctic Ocean as a source of dimethyl
sulfide Seasonal variability in relation to biological activity, Tellus B, 48, 156–177,
https://doi.org/10.3402/tellusb.v48i2.15834, 1996. a
Lloyd, G., Choularton, T. W., Bower, K. N., Gallagher, M. W., Crosier, J.,
O'Shea, S., Abel, S. J., Fox, S., Cotton, R., and Boutle, I. A.: In situ
measurements of cloud microphysical and aerosol properties during the
break-up of stratocumulus cloud layers in cold air outbreaks over the North
Atlantic, Atmos. Chem. Phys., 18, 17191–17206,
https://doi.org/10.5194/acp-18-17191-2018, 2018. a, b, c, d, e, f
Loeb, N. G., Wielicki, B. A., Rose, F. G., and Doelling, D. R.: Variability in
global top-of-atmosphere shortwave radiation between 2000 and 2005,
Geophys. Res. Lett., 34, L03704, https://doi.org/10.1029/2006GL028196,
2007. a, b
Maahn, M., Goren, T., Shupe, M. D., and de Boer, G.: Liquid Containing Clouds
at the North Slope of Alaska Demonstrate Sensitivity to Local Industrial
Aerosol Emissions, Geophys. Res. Lett., 48, e2021GL094307,
https://doi.org/10.1029/2021GL094307, 2021. a
Marchant, B., Platnick, S., Meyer, K., Arnold, G. T., and Riedi, J.: MODIS
Collection 6 shortwave-derived cloud phase classification algorithm and
comparisons with CALIOP, Atmos. Meas. Tech., 9, 1587–1599,
https://doi.org/10.5194/amt-9-1587-2016, 2016. a
McCoy, I. L., Wood, R., and Fletcher, J. K.: Identifying Meteorological
Controls on Open and Closed Mesoscale Cellular Convection Associated with
Marine Cold Air Outbreaks, J. Geophys. Res.-Atmos., 122,
11678–11702, https://doi.org/10.1002/2017JD027031, 2017. a, b
McCoy, I. L., McCoy, D. T., Wood, R., Regayre, L., Watson-Parris, D.,
Grosvenor, D. P., Mulcahy, J. P., Hu, Y., Bender, F. A.-M., Field, P. R.,
Carslaw, K. S., and Gordon, H.: The hemispheric contrast in cloud
microphysical properties constrains aerosol forcing, P.
Natl. Acad. Sci. USA, 117, 18998–19006,
https://doi.org/10.1073/pnas.1922502117, 2020. a
Michibata, T., Suzuki, K., Sato, Y., and Takemura, T.: The source of
discrepancies in aerosol–cloud–precipitation interactions between GCM and
A-Train retrievals, Atmos. Chem. Phys., 16, 15413–15424,
https://doi.org/10.5194/acp-16-15413-2016, 2016. a
Morrison, H., de Boer, G., Feingold, G., Harrington, J., Shupe, M. D., and
Sulia, K.: Resilience of persistent Arctic mixed-phase clouds, Nat. Geosci., 5, 11–17, https://doi.org/10.1038/ngeo1332, 2012. a
Murray-Watson, R. J. and Gryspeerdt, E.: Stability-dependent increases in
liquid water with droplet number in the Arctic, Atmos. Chem. Phys., 22, 5743–5756, https://doi.org/10.5194/acp-22-5743-2022, 2022. a, b, c
NASA/LARC/SD/ASDC: CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface
Fluxes, Clouds and Aerosols 1-Hourly Terra-Aqua Edition4A,
https://doi.org/10.5067/TERRA+AQUA/CERES/SYN1DEG-1HOUR_L3.004A,
2017. a, b
Painemal, D. and Zuidema, P.: Assessment of MODIS cloud effective radius and
optical thickness retrievals over the Southeast Pacific with VOCALS-REx in
situ measurements, J. Geophys. Res.-Atmos., 116, D24206,
https://doi.org/10.1029/2011JD016155, 2011. a, b
Papritz, L. and Spengler, T.: A Lagrangian Climatology of Wintertime Cold Air
Outbreaks in the Irminger and Nordic Seas and Their Role in Shaping Air–Sea
Heat Fluxes, J. Clim., 30, 2717–2737,
https://doi.org/10.1175/JCLI-D-16-0605.1, 2017. a
Pawlowska, H. and Brenguier, J.-L.: An observational study of drizzle formation
in stratocumulus clouds for general circulation model (GCM)
parameterizations, J. Geophys. Res.-Atmos., 108, 8630,
https://doi.org/10.1029/2002JD002679, 2003. a
Peters, G. P., Nilssen, T. B., Lindholt, L., Eide, M. S., Glomsrød, S.,
Eide, L. I., and Fuglestvedt, J. S.: Future emissions from shipping and
petroleum activities in the Arctic, Atmos. Chem. Phys., 11,
5305–5320, https://doi.org/10.5194/acp-11-5305-2011, 2011. a
Pithan, F., Svensson, G., Caballero, R., Chechin, D., Cronin, T. W., Ekman, A.
M. L., Neggers, R., Shupe, M. D., Solomon, A., Tjernström, M., and Wendisch,
M.: Role of air-mass transformations in exchange between the Arctic and
mid-latitudes, Nat. Geosci., 11, 805–812, https://doi.org/10.1038/s41561-018-0234-1, 2018. a, b
Platnick, S., King, M. D., Ackerman, S. A., Menzel, W. P., Baum,
B. A., Riedi, J. C., and Frey, R. A.: The MODIS cloud products:
algorithms and examples from Terra, IEEE Trans. Geosci.
Remote Sens., 41, 459–473, https://doi.org/10.1109/TGRS.2002.808301, 2003. a
Platnick, S., Meyer, K. G., King, M. D., Wind, G., Amarasinghe, N., Marchant,
B., Arnold, G. T., Zhang, Z., Hubanks, P. A., Holz, R. E., Yang, P., Ridgway,
W. L., and Riedi, J.: The MODIS Cloud Optical and Microphysical Products:
Collection 6 Updates and Examples From Terra and Aqua, IEEE Trans.
Geosci. Remote Sens., 55, 502–525, https://doi.org/10.1109/TGRS.2016.2610522,
2017. a, b
Quaas, J., Boucher, O., and Lohmann, U.: Constraining the total aerosol
indirect effect in the LMDZ and ECHAM4 GCMs using MODIS satellite data,
Atmos. Chem. Phys., 6, 947–955, https://doi.org/10.5194/acp-6-947-2006,
2006. a, b
Riihelä, A., Key, J. R.., Meirink, J. F., Kuipers Munneke, P., Palo, T., and Karlsson, K.-G.: An intercomparison and validation of satellite-based surface radiative energy flux estimates over the Arctic, J. Geophys. Res.-Atmos., 122, 4829–4848, https://doi.org/10.1002/2016JD026443, 2017. a
Rosenfeld, D. and Gutman, G.: Retrieving microphysical properties near the tops
of potential rain clouds by multispectral analysis of AVHRR data, Atmos.
Res., 34, 259–283, https://doi.org/10.1016/0169-8095(94)90096-5, 1994. a
Ruiz-Donoso, E., Ehrlich, A., Schäfer, M., Jäkel, E., Schemann, V.,
Crewell, S., Mech, M., Kulla, B. S., Kliesch, L.-L., Neuber, R., and
Wendisch, M.: Small-scale structure of thermodynamic phase in Arctic
mixed-phase clouds observed by airborne remote sensing during a cold air
outbreak and a warm air advection event, Atmos. Chem. Phys.,
20, 5487–5511, https://doi.org/10.5194/acp-20-5487-2020, 2020. a
Sanchez, K. J., Zhang, B., Liu, H., Brown, M. D., Crosbie, E. C., Gallo, F.,
Hair, J. W., Hostetler, C. A., Jordan, C. E., Robinson, C. E., Scarino,
A. J., Shingler, T. J., Shook, M. A., Thornhill, K. L., Wiggins, E. B.,
Winstead, E. L., Ziemba, L. D., Saliba, G., Lewis, S. L., Russell, L. M.,
Quinn, P. K., Bates, T. S., Porter, J., Bell, T. G., Gaube, P., Saltzman,
E. S., Behrenfeld, M. J., and Moore, R. H.: North Atlantic Ocean
SST-gradient-driven variations in aerosol and cloud evolution along
Lagrangian cold-air outbreak trajectories, Atmos. Chem. Phys., 22, 2795–2815, https://doi.org/10.5194/acp-22-2795-2022, 2022. a
Sandu, I. and Stevens, B.: On the Factors Modulating the Stratocumulus to
Cumulus Transitions, J. Atmos. Sci., 68, 1865–1881,
https://doi.org/10.1175/2011JAS3614.1, 2011. a, b
Sarkar, M., Zuidema, P., Albrecht, B., Ghate, V., Jensen, J., Mohrmann, J., and
Wood, R.: Observations Pertaining to Precipitation within the Northeast
Pacific Stratocumulus-to-Cumulus Transition, Mon. Weather Rev., 148,
1251–1273, https://doi.org/10.1175/MWR-D-19-0235.1, 2020. a
Schmale, J., Arnold, S. R., Law, K. S., Thorp, T., Anenberg, S., Simpson,
W. R., Mao, J., and Pratt, K. A.: Local Arctic Air Pollution: A Neglected but
Serious Problem, Earth's Future, 6, 1385–1412,
https://doi.org/10.1029/2018EF000952, 2018. a
Schmale, J., Zieger, P., and Ekman, A.: Aerosols in current and future Arctic
climate, Nat. Clim. Change, 11, 95–105,
https://doi.org/10.1038/s41558-020-00969-5, 2021. a
Serreze, M. C. and Barry, R. G.: Processes and impacts of Arctic amplification:
A research synthesis, Glob. Planet. Change, 77, 85–96,
https://doi.org/10.1016/j.gloplacha.2011.03.004, 2011. a
Shupe, M. D.: Clouds at Arctic Atmospheric Observatories. Part II:
Thermodynamic Phase Characteristics, J. Appl. Meteorol.
Climatol., 50, 645–661, https://doi.org/10.1175/2010JAMC2468.1,
2011. a, b
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,
https://doi.org/10.1175/1520-0442(2004)017<0616:CRFOTA>2.0.CO;2, 2004. a, b, c
Shupe, M. D., Matrosov, S. Y., and Uttal, T.: Arctic Mixed-Phase Cloud
Properties Derived from Surface-Based Sensors at SHEBA, J. Atmos. Sci., 63, 697–711, https://doi.org/10.1175/JAS3659.1, 2006. a
Shupe, M. D., Rex, M., Blomquist, B., Persson, P. O. G., Schmale, J., Uttal,
T., Althausen, D., Angot, H., Archer, S., Bariteau, L., Beck, I., Bilberry,
J., Bucci, S., Buck, C., Boyer, M., Brasseur, Z., Brooks, I. M., Calmer, R.,
Cassano, J., Castro, V., Chu, D., Costa, D., Cox, C. J., Creamean, J.,
Crewell, S., Dahlke, S., Damm, E., de Boer, G., Deckelmann, H., Dethloff, K.,
Dütsch, M., Ebell, K., Ehrlich, A., Ellis, J., Engelmann, R., Fong, A. A.,
Frey, M. M., Gallagher, M. R., Ganzeveld, L., Gradinger, R., Graeser, J.,
Greenamyer, V., Griesche, H., Griffiths, S., Hamilton, J., Heinemann, G.,
Helmig, D., Herber, A., Heuzé, C., Hofer, J., Houchens, T., Howard, D.,
Inoue, J., Jacobi, H.-W., Jaiser, R., Jokinen, T., Jourdan, O., Jozef, G.,
King, W., Kirchgaessner, A., Klingebiel, M., Krassovski, M., Krumpen, T.,
Lampert, A., Landing, W., Laurila, T., Lawrence, D., Lonardi, M., Loose, B.,
Lüpkes, C., Maahn, M., Macke, A., Maslowski, W., Marsay, C., Maturilli, M.,
Mech, M., Morris, S., Moser, M., Nicolaus, M., Ortega, P., Osborn, J.,
Pätzold, F., Perovich, D. K., Petäjä, T., Pilz, C., Pirazzini, R., Posman,
K., Powers, H., Pratt, K. A., Preußer, A., Quéléver, L., Radenz, M., Rabe,
B., Rinke, A., Sachs, T., Schulz, A., Siebert, H., Silva, T., Solomon, A.,
Sommerfeld, A., Spreen, G., Stephens, M., Stohl, A., Svensson, G., Uin, J.,
Viegas, J., Voigt, C., von der Gathen, P., Wehner, B., Welker, J. M.,
Wendisch, M., Werner, M., Xie, Z., and Yue, F.: Overview of the MOSAiC
expedition: Atmosphere, Elementa, 10, 00060,
https://doi.org/10.1525/elementa.2021.00060, 2022. a
Silber, I. and Shupe, M. D.: Insights on sources and formation mechanisms of
liquid-bearing clouds over MOSAiC examined from a Lagrangian framework,
Elementa, 10, 000071,
https://doi.org/10.1525/elementa.2021.000071, 2022. a
Sourdeval, O., C.-Labonnote, L., Baran, A. J., Mülmenstädt, J., and Brogniez,
G.: A methodology for simultaneous retrieval of ice and liquid water cloud
properties, Part 2: Near-global retrievals and evaluation against A-Train
products, Q. J. Roy. Meteor. Soc., 142,
3063–3081, https://doi.org/10.1002/qj.2889, 2016. a
Stephens, G. L., Vane, D. G., Tanelli, S., Im, E., Durden, S., Rokey, M.,
Reinke, D., Partain, P., Mace, G. G., Austin, R., L'Ecuyer, T., Haynes, J.,
Lebsock, M., Suzuki, K., Waliser, D., Wu, D., Kay, J., Gettelman, A., Wang,
Z., and Marchand, R.: CloudSat mission: Performance and early science after
the first year of operation, J. Geophys. Res.-Atmos.,
113, D00A18, https://doi.org/10.1029/2008JD009982, 2008. a
Stevens, B., Cotton, W. R., Feingold, G., and Moeng, C.-H.: Large-Eddy
Simulations of Strongly Precipitating, Shallow, Stratocumulus-Topped Boundary
Layers, J. Atmos. Sci., 55, 3616–3638,
https://doi.org/10.1175/1520-0469(1998)055<3616:LESOSP>2.0.CO;2, 1998. a, b
Sun, W., Loeb, N. G., Davies, R., Loukachine, K., and Miller, W. F.: Comparison
of MISR and CERES top-of-atmosphere albedo, Geophys. Res. Lett., 33, L23810,
https://doi.org/10.1029/2006GL027958, 2006. a
Szczodrak, M., Austin, P. H., and Krummel, P. B.: Variability of Optical Depth
and Effective Radius in Marine Stratocumulus Clouds, J. Atmos. Sci., 58, 2912–2926,
https://doi.org/10.1175/1520-0469(2001)058<2912:VOODAE>2.0.CO;2, 2001.
a
Tornow, F., Ackerman, A. S., Fridlind, A. M., Cairns, B., Crosbie, E. C.,
Kirschler, S., Moore, R. H., Painemal, D., Robinson, C. E., Seethala, C.,
Shook, M. A., Voigt, C., Winstead, E. L., Ziemba, L. D., Zuidema, P., and
Sorooshian, A.: Dilution of Boundary Layer Cloud Condensation Nucleus
Concentrations by Free Tropospheric Entrainment During Marine Cold Air
Outbreaks, Geophys. Res. Lett., 49, e2022GL098444,
https://doi.org/10.1029/2022GL098444, 2022. a, b, c, d
Winker, D. M., Vaughan, M. A., Omar, A., Hu, Y., Powell, K. A., Liu, Z., Hunt,
W. H., and Young, S. A.: Overview of the CALIPSO Mission and CALIOP Data
Processing Algorithms, J. Atmos. Ocean. Technol., 26,
2310–2323, https://doi.org/10.1175/2009JTECHA1281.1, 2009. a
Wood, R. and Hartmann, D. L.: Spatial Variability of Liquid Water Path in
Marine Low Cloud: The Importance of Mesoscale Cellular Convection, J.
Clim., 19, 1748–1764, https://doi.org/10.1175/JCLI3702.1, 2006. a, b
Wu, P. and Ovchinnikov, M.: Cloud Morphology Evolution in Arctic Cold-Air
Outbreak: Two Cases During COMBLE Period, J. Geophys. Res.-Atmos., 127, e2021JD035966,
https://doi.org/10.1029/2021JD035966, 2022. a
Yamaguchi, T., Feingold, G., and Kazil, J.: Stratocumulus to Cumulus
Transition by Drizzle, J. Adv. Model. Earth Syst., 9,
2333–2349, https://doi.org/10.1002/2017MS001104, 2017. a, b
Young, G., Jones, H. M., Choularton, T. W., Crosier, J., Bower, K. N.,
Gallagher, M. W., Davies, R. S., Renfrew, I. A., Elvidge, A. D., Darbyshire,
E., Marenco, F., Brown, P. R. A., Ricketts, H. M. A., Connolly, P. J., Lloyd,
G., Williams, P. I., Allan, J. D., Taylor, J. W., Liu, D., and Flynn, M. J.:
Observed microphysical changes in Arctic mixed-phase clouds when
transitioning from sea ice to open ocean, Atmos. Chem. Phys.,
16, 13945–13967, https://doi.org/10.5194/acp-16-13945-2016, 2016. a
Zeng, S., Riedi, J., Trepte, C. R., Winker, D. M., and Hu, Y.-X.: Study of
global cloud droplet number concentration with A-Train satellites,
Atmos. Chem. Phys., 14, 7125–7134,
https://doi.org/10.5194/acp-14-7125-2014, 2014. a
Zhang, Z. and Platnick, S.: An assessment of differences between cloud
effective particle radius retrievals for marine water clouds from three MODIS
spectral bands, J. Geophys. Res.-Atmos., 116, D20215,
https://doi.org/10.1029/2011JD016216, 2011. a
Short summary
Clouds formed in Arctic marine cold air outbreaks undergo a distinct evolution, but the factors controlling their transition from high-coverage to broken cloud fields are poorly understood. We use satellite and reanalysis data to study how these clouds develop in time and the different influences on their evolution. The aerosol concentration is correlated with cloud break-up; more aerosol is linked to prolonged coverage and a stronger cooling effect, with implications for a more polluted Arctic.
Clouds formed in Arctic marine cold air outbreaks undergo a distinct evolution, but the factors...
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