Articles | Volume 22, issue 15
https://doi.org/10.5194/acp-22-10247-2022
© Author(s) 2022. 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-22-10247-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Aug 2022
Research article |
| 10 Aug 2022
| 10 Aug 2022
Exploring relations between cloud morphology, cloud phase, and cloud radiative properties in Southern Ocean's stratocumulus clouds
Jessica Danker
Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt,
Frankfurt, Germany
Odran Sourdeval
Univ. Lille, CNRS, UMR 8518 – LOA – Laboratoire d'Optique Atmosphérique, 59000 Lille, France
Isabel L. McCoy
Cooperative Programs for the Advancement of Earth System Science, University Corporation for Atmospheric Research, Boulder, Colorado, USA
Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, Florida, USA
Robert Wood
Atmospheric Sciences, University of Washington, Seattle, WA, USA
Anna Possner
CORRESPONDING AUTHOR
Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt,
Frankfurt, Germany
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Athulya Saiprakash, Martina Krämer, Christian Rolf, Jérôme Riedi, and Odran Sourdeval
EGUsphere, https://doi.org/10.5194/egusphere-2026-2423, https://doi.org/10.5194/egusphere-2026-2423, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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This second part of the study tested the new method by comparing its results with satellite and aircraft observations and by examining how sensitive it is to key assumptions. The method agreed well with observations in most cases, although clouds formed over mountains remained harder to capture. It also showed which conditions and processes matter most for reconstructing how cirrus form and evolve.
Athulya Saiprakash, Martina Krämer, Christian Rolf, Patrick Konjari, Jérôme Riedi, and Odran Sourdeval
EGUsphere, https://doi.org/10.5194/egusphere-2026-2416, https://doi.org/10.5194/egusphere-2026-2416, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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To better understand how observed high ice clouds, known as cirrus, form and change, satellite images were combined with calculations that reconstruct how the air moved before the clouds formed. Case studies showed that cloud history differs with height, age, and surrounding conditions, and that small temperature changes strongly shape cloud growth. This helps reveal and characterize the mechanisms behind observed cirrus.
Haruki Hirasawa, Matthew Henry, Philip J. Rasch, Robert Wood, Sarah J. Doherty, James Haywood, Alex Wong, Jean-Francois Lamarque, Ezra Brody, and Hailong Wang
Geosci. Model Dev., 19, 3257–3283, https://doi.org/10.5194/gmd-19-3257-2026, https://doi.org/10.5194/gmd-19-3257-2026, 2026
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Marine cloud brightening (MCB) is a proposal to emit sea salt aerosols to make clouds more reflective and cool the climate. Here, we use three climate models to study a hypothetical future where MCB is used to maintain temperatures near 2020–2039 conditions. The simulation results indicate that using MCB in midlatitude ocean regions can keep the climate close to present day conditions. This reduces many of the negative impacts shown in previous studies, informing future modeling efforts.
Timothy W. Juliano, Florian Tornow, Ann M. Fridlind, Andrew S. Ackerman, Gregory S. Elsaesser, Bart Geerts, Christian P. Lackner, David Painemal, Israel Silber, Mikhail Ovchinnikov, Gunilla Svensson, Michael Tjernström, Peng Wu, Alejandro Baró Pérez, Peter Bogenschutz, Dmitry Chechin, Kamal Kant Chandrakar, Jan Chylik, Andrey Debolskiy, Rostislav Fadeev, Anu Gupta, Luisa Ickes, Michail Karalis, Martin Köhler, Branko Kosovic, Peter Kuma, Weiwei Li, Evgeny Mortikov, Hugh Morrison, Roel A. J. Neggers, Anna Possner, Tomi Raatikainen, Lea Raillard, Sami Romakkaniemi, Niklas Schnierstein, Shin-ichiro Shima, Nikita Silin, Mikhail Tolstykh, Étienne Vignon, Lulin Xue, Meng Zhang, and Xue Zheng
EGUsphere, https://doi.org/10.5194/egusphere-2026-1237, https://doi.org/10.5194/egusphere-2026-1237, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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Models struggle to capture cloud and precipitation processes and their radiative effects in marine cold-air outbreaks. We use a quasi-Lagrangian framework to compare large-eddy simulation (LES) and single-column model (SCM) output with field and satellite observations. With fixed droplet and ice numbers, LES and SCM agree in liquid-only tests. In mixed-phase conditions, LES plausibly capture cloud thinning and breakup, while SCMs largely remain overcast and thereby miss cloud radiative effects.
Logan T. Mitchell, Connor J. Flynn, Kristina Pistone, Samuel E. LeBlanc, K. Sebastian Schmidt, Hong Chen, Paquita Zuidema, Robert Wood, and Jens Redemann
EGUsphere, https://doi.org/10.5194/egusphere-2026-1418, https://doi.org/10.5194/egusphere-2026-1418, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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During 2016–2018, NASA conducted an airborne field campaign over the Southeast Atlantic Ocean to study biomass burning aerosols emitted from Southern African fires. We have found that aerosol scattering increases over the course of the emission season, which is due to a compositional change within black carbon as the source fires shift southeastward, rather than an increase in brown carbon. This aerosol brightening is also noted within a 30-year aerosol climatology from ground-based stations.
John J. D'Alessandro, Robert Wood, and Peter N. Blossey
Atmos. Chem. Phys., 26, 4067–4088, https://doi.org/10.5194/acp-26-4067-2026, https://doi.org/10.5194/acp-26-4067-2026, 2026
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Many theories speculate drop clustering is an important facet of precipitation initiation. This study evaluates the relationship between drop size and drop clustering surrounding the individual drops. Large drops are generally isolated from neighboring drops, particularly in subsaturated environments. Samples capturing this trend also have the broadest drop size distributions and largest drops, suggesting the importance of entrainment-mixing to precipitation initiation.
Moritz Schnelke, Maike Ahlgrimm, and Anna Possner
EGUsphere, https://doi.org/10.5194/egusphere-2026-479, https://doi.org/10.5194/egusphere-2026-479, 2026
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This study explores how the downward movement of cloud droplets due to gravity impacts the evolution of stratocumulus clouds over longer timescales. In contrast to previous conclusions, we find that the effect differs in the long-term depending on the amount of water in the cloud. In thick clouds, sedimentation reduces boundary layer growth as expected. In thin clouds, it can trigger a feedback chain that leads to more efficient growth, resulting in opposite outcomes for the two categories.
Timothy W. Juliano, Florian Tornow, Ann M. Fridlind, Andrew S. Ackerman, Gregory S. Elsaesser, Bart Geerts, Christian P. Lackner, David Painemal, Israel Silber, Mikhail Ovchinnikov, Gunilla Svensson, Michael Tjernström, Peng Wu, Alejandro Baró Pérez, Peter Bogenschutz, Dmitry Chechin, Kamal Kant Chandrakar, Jan Chylik, Andrey Debolskiy, Rostislav Fadeev, Anu Gupta, Luisa Ickes, Michail Karalis, Martin Köhler, Branko Kosović, Peter Kuma, Weiwei Li, Evgeny Mortikov, Hugh Morrison, Roel A. J. Neggers, Anna Possner, Tomi Raatikainen, Sami Romakkaniemi, Niklas Schnierstein, Shin-ichiro Shima, Nikita Silin, Mikhail Tolstykh, Lulin Xue, Meng Zhang, and Xue Zheng
EGUsphere, https://doi.org/10.5194/egusphere-2025-6217, https://doi.org/10.5194/egusphere-2025-6217, 2026
Preprint archived
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Models struggle to capture cloud and precipitation processes and their radiative effects in marine cold-air outbreaks. We use a quasi-Lagrangian framework to compare large-eddy simulation (LES) and single-column model (SCM) output with field and satellite observations. With fixed droplet and ice numbers, LES and SCM agree in liquid-only tests. In mixed-phase conditions, LES plausibly capture cloud thinning and breakup, while SCMs largely remain overcast and thereby miss cloud radiative effects.
Lianet Hernández Pardo, Joachim Curtius, Patrick Jöckel, Moritz Menken, and Anna Possner
EGUsphere, https://doi.org/10.5194/egusphere-2025-4338, https://doi.org/10.5194/egusphere-2025-4338, 2026
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Many tiny particles are formed high in the tropical atmosphere, but their impact lower down is unclear. We studied how these particles move downward using long-term computer simulations. We found that particles can reach middle levels of the atmosphere within a week, carried by winds. These results help us understand how pollution and clouds might change as particles spread around the world.
Isabel L. McCoy, Sunil Baidar, Paquita Zuidema, Jan Kazil, W. Alan Brewer, Wayne M. Angevine, and Graham Feingold
Atmos. Chem. Phys., 25, 16233–16261, https://doi.org/10.5194/acp-25-16233-2025, https://doi.org/10.5194/acp-25-16233-2025, 2025
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We use ship observations to investigate the dynamics of small clouds over the tropical oceans. When these cumulus clouds cluster together, they more efficiently move moisture into the cloud layer due to strengthened updrafts. This encourages further clustering, increases local cloud development success, and may help sustain clouds against diurnal variations in their environment. These results have implications for cumulus feedback on the climate, a significant uncertainty in future projections.
Ehsan Erfani, Robert Wood, Peter Blossey, Sarah J. Doherty, and Ryan Eastman
Atmos. Chem. Phys., 25, 8743–8768, https://doi.org/10.5194/acp-25-8743-2025, https://doi.org/10.5194/acp-25-8743-2025, 2025
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Je-Yun Chun, Robert Wood, Peter N. Blossey, and Sarah J. Doherty
Atmos. Chem. Phys., 25, 5251–5271, https://doi.org/10.5194/acp-25-5251-2025, https://doi.org/10.5194/acp-25-5251-2025, 2025
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This study explores how aerosols affect clouds transitioning from stratocumulus to cumulus along trade winds under varying atmospheric conditions. We found that aerosols typically reduce precipitation and raise cloud height, but their impact changes when subsidence changes by aerosol enhancement are considered. Our findings indicate that the cooling effect of aerosols might be overestimated if these atmospheric changes are not accounted for.
August Mikkelsen, Daniel T. McCoy, Trude Eidhammer, Andrew Gettelman, Ci Song, Hamish Gordon, and Isabel L. McCoy
Atmos. Chem. Phys., 25, 4547–4570, https://doi.org/10.5194/acp-25-4547-2025, https://doi.org/10.5194/acp-25-4547-2025, 2025
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Whether increased aerosol increases or decreases liquid cloud mass has been a longstanding question. Observed correlations suggest that aerosols thin liquid cloud, but we are able to show that observations were consistent with an increase in liquid cloud in response to aerosols by leveraging a model where causality could be traced.
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.
Florian Sauerland, Niels Souverijns, Anna Possner, Heike Wex, Preben Van Overmeiren, Alexander Mangold, Kwinten Van Weverberg, and Nicole van Lipzig
Atmos. Chem. Phys., 24, 13751–13768, https://doi.org/10.5194/acp-24-13751-2024, https://doi.org/10.5194/acp-24-13751-2024, 2024
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We use a regional climate model, COSMO-CLM², enhanced with a module resolving aerosol processes, to study Antarctic clouds. We prescribe different concentrations of ice-nucleating particles to our model to assess how these clouds respond to concentration changes, validating results with cloud and aerosol observations from the Princess Elisabeth Antarctica station. Our results show that aerosol–cloud interactions vary with temperature, providing valuable insights into Antarctic cloud dynamics.
Philip J. Rasch, Haruki Hirasawa, Mingxuan Wu, Sarah J. Doherty, Robert Wood, Hailong Wang, Andy Jones, James Haywood, and Hansi Singh
Geosci. Model Dev., 17, 7963–7994, https://doi.org/10.5194/gmd-17-7963-2024, https://doi.org/10.5194/gmd-17-7963-2024, 2024
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We introduce a protocol to compare computer climate simulations to better understand a proposed strategy intended to counter warming and climate impacts from greenhouse gas increases. This slightly changes clouds in six ocean regions to reflect more sunlight and cool the Earth. Example changes in clouds and climate are shown for three climate models. Cloud changes differ between the models, but precipitation and surface temperature changes are similar when their cooling effects are made similar.
Lucas A. McMichael, Michael J. Schmidt, Robert Wood, Peter N. Blossey, and Lekha Patel
Geosci. Model Dev., 17, 7867–7888, https://doi.org/10.5194/gmd-17-7867-2024, https://doi.org/10.5194/gmd-17-7867-2024, 2024
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Marine cloud brightening (MCB) is a climate intervention technique to potentially cool the climate. Climate models used to gauge regional climate impacts associated with MCB often assume large areas of the ocean are uniformly perturbed. However, a more realistic representation of MCB application would require information about how an injected particle plume spreads. This work aims to develop such a plume-spreading model.
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.
Sabine Doktorowski, Jan Kretzschmar, Johannes Quaas, Marc Salzmann, and Odran Sourdeval
Geosci. Model Dev., 17, 3099–3110, https://doi.org/10.5194/gmd-17-3099-2024, https://doi.org/10.5194/gmd-17-3099-2024, 2024
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Especially over the midlatitudes, precipitation is mainly formed via the ice phase. In this study we focus on the initial snow formation process in the ICON-AES, the aggregation process. We use a stochastical approach for the aggregation parameterization and investigate the influence in the ICON-AES. Therefore, a distribution function of cloud ice is created, which is evaluated with satellite data. The new approach leads to cloud ice loss and an improvement in the process rate bias.
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.
Calvin Howes, Pablo E. Saide, Hugh Coe, Amie Dobracki, Steffen Freitag, Jim M. Haywood, Steven G. Howell, Siddhant Gupta, Janek Uin, Mary Kacarab, Chongai Kuang, L. Ruby Leung, Athanasios Nenes, Greg M. McFarquhar, James Podolske, Jens Redemann, Arthur J. Sedlacek, Kenneth L. Thornhill, Jenny P. S. Wong, Robert Wood, Huihui Wu, Yang Zhang, Jianhao Zhang, and Paquita Zuidema
Atmos. Chem. Phys., 23, 13911–13940, https://doi.org/10.5194/acp-23-13911-2023, https://doi.org/10.5194/acp-23-13911-2023, 2023
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To better understand smoke properties and its interactions with clouds, we compare the WRF-CAM5 model with observations from ORACLES, CLARIFY, and LASIC field campaigns in the southeastern Atlantic in August 2017. The model transports and mixes smoke well but does not fully capture some important processes. These include smoke chemical and physical aging over 4–12 days, smoke removal by rain, sulfate particle formation, aerosol activation into cloud droplets, and boundary layer turbulence.
Casey J. Wall, Trude Storelvmo, and Anna Possner
Atmos. Chem. Phys., 23, 13125–13141, https://doi.org/10.5194/acp-23-13125-2023, https://doi.org/10.5194/acp-23-13125-2023, 2023
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Interactions between aerosol pollution and liquid clouds are one of the largest sources of uncertainty in the effective radiative forcing of climate over the industrial era. We use global satellite observations to decompose the forcing into components from changes in cloud-droplet number concentration, cloud water content, and cloud amount. Our results reduce uncertainty in these forcing components and clarify their relative importance.
Amie Dobracki, Paquita Zuidema, Steven G. Howell, Pablo Saide, Steffen Freitag, Allison C. Aiken, Sharon P. Burton, Arthur J. Sedlacek III, Jens Redemann, and Robert Wood
Atmos. Chem. Phys., 23, 4775–4799, https://doi.org/10.5194/acp-23-4775-2023, https://doi.org/10.5194/acp-23-4775-2023, 2023
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Southern Africa produces approximately one-third of the world’s carbon from fires. The thick smoke layer can flow westward, interacting with the southeastern Atlantic cloud deck. The net radiative impact can alter regional circulation patterns, impacting rainfall over Africa. We find that the smoke is highly absorbing of sunlight, mostly because it contains more black carbon than smoke over the Northern Hemisphere.
Ian Chang, Lan Gao, Connor J. Flynn, Yohei Shinozuka, Sarah J. Doherty, Michael S. Diamond, Karla M. Longo, Gonzalo A. Ferrada, Gregory R. Carmichael, Patricia Castellanos, Arlindo M. da Silva, Pablo E. Saide, Calvin Howes, Zhixin Xue, Marc Mallet, Ravi Govindaraju, Qiaoqiao Wang, Yafang Cheng, Yan Feng, Sharon P. Burton, Richard A. Ferrare, Samuel E. LeBlanc, Meloë S. Kacenelenbogen, Kristina Pistone, Michal Segal-Rozenhaimer, Kerry G. Meyer, Ju-Mee Ryoo, Leonhard Pfister, Adeyemi A. Adebiyi, Robert Wood, Paquita Zuidema, Sundar A. Christopher, and Jens Redemann
Atmos. Chem. Phys., 23, 4283–4309, https://doi.org/10.5194/acp-23-4283-2023, https://doi.org/10.5194/acp-23-4283-2023, 2023
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Abundant aerosols are present above low-level liquid clouds over the southeastern Atlantic during late austral spring. The model simulation differences in the proportion of aerosol residing in the planetary boundary layer and in the free troposphere can greatly affect the regional aerosol radiative effects. This study examines the aerosol loading and fractional aerosol loading in the free troposphere among various models and evaluates them against measurements from the NASA ORACLES campaign.
Francesca Gallo, Janek Uin, Kevin J. Sanchez, Richard H. Moore, Jian Wang, Robert Wood, Fan Mei, Connor Flynn, Stephen Springston, Eduardo B. Azevedo, Chongai Kuang, and Allison C. Aiken
Atmos. Chem. Phys., 23, 4221–4246, https://doi.org/10.5194/acp-23-4221-2023, https://doi.org/10.5194/acp-23-4221-2023, 2023
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This study provides a summary statistic of multiday aerosol plume transport event influences on aerosol physical properties and the cloud condensation nuclei budget at the U.S. Department of Energy Atmospheric Radiation Measurement Facility in the eastern North Atlantic (ENA). An algorithm that integrates aerosol properties is developed and applied to identify multiday aerosol transport events. The influence of the aerosol plumes on aerosol populations at the ENA is successively assessed.
Zhenquan Wang, Jian Yuan, Robert Wood, Yifan Chen, and Tiancheng Tong
Atmos. Chem. Phys., 23, 3247–3266, https://doi.org/10.5194/acp-23-3247-2023, https://doi.org/10.5194/acp-23-3247-2023, 2023
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This study develops a novel profile-based algorithm based on the ERA5 to estimate the inversion strength in the planetary boundary layer better than the previous inversion index, which is a key low-cloud-controlling factor. This improved measure is more effective at representing the meteorological influence on low-cloud variations. It can better constrain the meteorological influence on low clouds to better isolate cloud responses to aerosols or to estimate low cloud feedbacks in climate models.
Je-Yun Chun, Robert Wood, Peter Blossey, and Sarah J. Doherty
Atmos. Chem. Phys., 23, 1345–1368, https://doi.org/10.5194/acp-23-1345-2023, https://doi.org/10.5194/acp-23-1345-2023, 2023
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We investigate the impact of injected aerosol on subtropical low marine clouds under a variety of meteorological conditions using high-resolution model simulations. This study illustrates processes perturbed by aerosol injections and their impact on cloud properties (e.g., cloud number concentration, thickness, and cover). We show that those responses are highly sensitive to background meteorological conditions, such as precipitation, and background cloud properties.
Ju-Mee Ryoo, Leonhard Pfister, Rei Ueyama, Paquita Zuidema, Robert Wood, Ian Chang, and Jens Redemann
Atmos. Chem. Phys., 22, 14209–14241, https://doi.org/10.5194/acp-22-14209-2022, https://doi.org/10.5194/acp-22-14209-2022, 2022
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The variability in the meteorological fields during each deployment is highly modulated at a daily to synoptic timescale. This paper, along with part 1, the climatological overview paper, provides a meteorological context for interpreting the airborne measurements gathered during the three ORACLES deployments. This study supports related studies focusing on the detailed investigation of the processes controlling stratocumulus decks, aerosol lifting, transport, and their interactions.
Paul A. Barrett, Steven J. Abel, Hugh Coe, Ian Crawford, Amie Dobracki, James Haywood, Steve Howell, Anthony Jones, Justin Langridge, Greg M. McFarquhar, Graeme J. Nott, Hannah Price, Jens Redemann, Yohei Shinozuka, Kate Szpek, Jonathan W. Taylor, Robert Wood, Huihui Wu, Paquita Zuidema, Stéphane Bauguitte, Ryan Bennett, Keith Bower, Hong Chen, Sabrina Cochrane, Michael Cotterell, Nicholas Davies, David Delene, Connor Flynn, Andrew Freedman, Steffen Freitag, Siddhant Gupta, David Noone, Timothy B. Onasch, James Podolske, Michael R. Poellot, Sebastian Schmidt, Stephen Springston, Arthur J. Sedlacek III, Jamie Trembath, Alan Vance, Maria A. Zawadowicz, and Jianhao Zhang
Atmos. Meas. Tech., 15, 6329–6371, https://doi.org/10.5194/amt-15-6329-2022, https://doi.org/10.5194/amt-15-6329-2022, 2022
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To better understand weather and climate, it is vital to go into the field and collect observations. Often measurements take place in isolation, but here we compared data from two aircraft and one ground-based site. This was done in order to understand how well measurements made on one platform compared to those made on another. Whilst this is easy to do in a controlled laboratory setting, it is more challenging in the real world, and so these comparisons are as valuable as they are rare.
Michael S. Diamond, Pablo E. Saide, Paquita Zuidema, Andrew S. Ackerman, Sarah J. Doherty, Ann M. Fridlind, Hamish Gordon, Calvin Howes, Jan Kazil, Takanobu Yamaguchi, Jianhao Zhang, Graham Feingold, and Robert Wood
Atmos. Chem. Phys., 22, 12113–12151, https://doi.org/10.5194/acp-22-12113-2022, https://doi.org/10.5194/acp-22-12113-2022, 2022
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Smoke from southern Africa blankets the southeast Atlantic from June-October, overlying a major transition region between overcast and scattered clouds. The smoke affects Earth's radiation budget by absorbing sunlight and changing cloud properties. We investigate these effects in regional climate and large eddy simulation models based on international field campaigns. We find that large-scale circulation changes more strongly affect cloud transitions than smoke microphysical effects in our case.
Hailing Jia, Johannes Quaas, Edward Gryspeerdt, Christoph Böhm, and Odran Sourdeval
Atmos. Chem. Phys., 22, 7353–7372, https://doi.org/10.5194/acp-22-7353-2022, https://doi.org/10.5194/acp-22-7353-2022, 2022
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Aerosol–cloud interaction is the most uncertain component of the anthropogenic forcing of the climate. By combining satellite and reanalysis data, we show that the strength of the Twomey effect (S) increases remarkably with vertical velocity. Both the confounding effect of aerosol–precipitation interaction and the lack of vertical co-location between aerosol and cloud are found to overestimate S, whereas the retrieval biases in aerosol and cloud appear to underestimate S.
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
Atmos. Chem. Phys., 22, 641–674, https://doi.org/10.5194/acp-22-641-2022, https://doi.org/10.5194/acp-22-641-2022, 2022
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Trace gases and aerosols (tiny airborne particles) are released from a variety of point sources around the globe. Examples include volcanoes, industrial chimneys, forest fires, and ship stacks. These sources provide opportunistic experiments with which to quantify the role of aerosols in modifying cloud properties. We review the current state of understanding on the influence of aerosol on climate built from the wide range of natural and anthropogenic laboratories investigated in recent decades.
Amie Dobracki, Paquita Zuidema, Steve Howell, Pablo Saide, Steffen Freitag, Allison C. Aiken, Sharon P. Burton, Arthur J. Sedlacek III, Jens Redemann, and Robert Wood
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2021-1081, https://doi.org/10.5194/acp-2021-1081, 2022
Preprint withdrawn
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The global maximum of shortwave-absorbing aerosol above cloud occurs above the southeast Atlantic, where the biomass-burning aerosol provides a distinct aerosol radiative warming of regional climate. The smoke aerosols are unusually highly absorbing of sunlight. This study seeks to understand the cause. We conclude the aerosol is already strongly absorbing at the fire emission source, but that chemical aging, through encouraging a net loss of organic aerosol, also contributes.
Sarah J. Doherty, Pablo E. Saide, Paquita Zuidema, Yohei Shinozuka, Gonzalo A. Ferrada, Hamish Gordon, Marc Mallet, Kerry Meyer, David Painemal, Steven G. Howell, Steffen Freitag, Amie Dobracki, James R. Podolske, Sharon P. Burton, Richard A. Ferrare, Calvin Howes, Pierre Nabat, Gregory R. Carmichael, Arlindo da Silva, Kristina Pistone, Ian Chang, Lan Gao, Robert Wood, and Jens Redemann
Atmos. Chem. Phys., 22, 1–46, https://doi.org/10.5194/acp-22-1-2022, https://doi.org/10.5194/acp-22-1-2022, 2022
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Between July and October, biomass burning smoke is advected over the southeastern Atlantic Ocean, leading to climate forcing. Model calculations of forcing by this plume vary significantly in both magnitude and sign. This paper compares aerosol and cloud properties observed during three NASA ORACLES field campaigns to the same in four models. It quantifies modeled biases in properties key to aerosol direct radiative forcing and evaluates how these biases propagate to biases in forcing.
Ju-Mee Ryoo, Leonhard Pfister, Rei Ueyama, Paquita Zuidema, Robert Wood, Ian Chang, and Jens Redemann
Atmos. Chem. Phys., 21, 16689–16707, https://doi.org/10.5194/acp-21-16689-2021, https://doi.org/10.5194/acp-21-16689-2021, 2021
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Part 1 of the meteorological overview paper highlights the anomalous meteorological characteristics during the ORACLES deployment compared to the climatological mean at monthly timescales. The upper-level wave disturbance and the associated anomalous circulation explain the weakening of AEJ-S through the reduction of the strength of the heat low over the land during August 2017. This may also help explain the anomalously low aerosol optical depth observed in the August 2017 ORACLES deployment.
Rachel Atlas, Johannes Mohrmann, Joseph Finlon, Jeremy Lu, Ian Hsiao, Robert Wood, and Minghui Diao
Atmos. Meas. Tech., 14, 7079–7101, https://doi.org/10.5194/amt-14-7079-2021, https://doi.org/10.5194/amt-14-7079-2021, 2021
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Many clouds with temperatures between 0 °C and −40 °C contain both liquid and ice particles, and the ratio of liquid to ice particles influences how the clouds interact with radiation and moderate Earth's climate. We use a machine learning method called random forest to classify images of individual cloud particles as either liquid or ice. We apply our algorithm to images captured by aircraft within clouds overlying the Southern Ocean, and we find that it outperforms two existing algorithms.
Robert Wood
Atmos. Chem. Phys., 21, 14507–14533, https://doi.org/10.5194/acp-21-14507-2021, https://doi.org/10.5194/acp-21-14507-2021, 2021
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A simple model is described to assess the potential for increasing solar reflection by augmenting the aerosol population below marine low clouds, which increases the concentration of cloud droplets. The model is used to predict global cooling from marine cloud brightening climate intervention as a function of the quantity, size, and lifetime of salt particles injected per sprayer, the number of sprayers deployed, the cloud updraft speed, and unperturbed aerosol size distribution.
Yang Wang, Guangjie Zheng, Michael P. Jensen, Daniel A. Knopf, Alexander Laskin, Alyssa A. Matthews, David Mechem, Fan Mei, Ryan Moffet, Arthur J. Sedlacek, John E. Shilling, Stephen Springston, Amy Sullivan, Jason Tomlinson, Daniel Veghte, Rodney Weber, Robert Wood, Maria A. Zawadowicz, and Jian Wang
Atmos. Chem. Phys., 21, 11079–11098, https://doi.org/10.5194/acp-21-11079-2021, https://doi.org/10.5194/acp-21-11079-2021, 2021
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This paper reports the vertical profiles of trace gas and aerosol properties over the eastern North Atlantic, a region of persistent but diverse subtropical marine boundary layer (MBL) clouds. We examined the key processes that drive the cloud condensation nuclei (CCN) population and how it varies with season and synoptic conditions. This study helps improve the model representation of the aerosol processes in the remote MBL, reducing the simulated aerosol indirect effects.
Kristina Pistone, Paquita Zuidema, Robert Wood, Michael Diamond, Arlindo M. da Silva, Gonzalo Ferrada, Pablo E. Saide, Rei Ueyama, Ju-Mee Ryoo, Leonhard Pfister, James Podolske, David Noone, Ryan Bennett, Eric Stith, Gregory Carmichael, Jens Redemann, Connor Flynn, Samuel LeBlanc, Michal Segal-Rozenhaimer, and Yohei Shinozuka
Atmos. Chem. Phys., 21, 9643–9668, https://doi.org/10.5194/acp-21-9643-2021, https://doi.org/10.5194/acp-21-9643-2021, 2021
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Using aircraft-based measurements off the Atlantic coast of Africa, we found the springtime smoke plume was strongly correlated with the amount of water vapor in the atmosphere (more smoke indicated more humidity). We see the same general feature in satellite-assimilated and free-running models. Our analysis suggests this relationship is not caused by the burning but originates due to coincident continental meteorology plus fires. This air is transported over the ocean without further mixing.
Johannes Mohrmann, Robert Wood, Tianle Yuan, Hua Song, Ryan Eastman, and Lazaros Oreopoulos
Atmos. Chem. Phys., 21, 9629–9642, https://doi.org/10.5194/acp-21-9629-2021, https://doi.org/10.5194/acp-21-9629-2021, 2021
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Observations of marine-boundary-layer conditions are composited by cloud type, based on a new classification dataset. It is found that two cloud types, representing regions of clustered and suppressed low-level clouds, occur in very similar large-scale conditions but are distinguished from each other by considering low-level circulation and surface wind fields, validating prior results from modeling.
Maria A. Zawadowicz, Kaitlyn Suski, Jiumeng Liu, Mikhail Pekour, Jerome Fast, Fan Mei, Arthur J. Sedlacek, Stephen Springston, Yang Wang, Rahul A. Zaveri, Robert Wood, Jian Wang, and John E. Shilling
Atmos. Chem. Phys., 21, 7983–8002, https://doi.org/10.5194/acp-21-7983-2021, https://doi.org/10.5194/acp-21-7983-2021, 2021
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This paper describes the results of a recent field campaign in the eastern North Atlantic, where two mass spectrometers were deployed aboard a research aircraft to measure the chemistry of aerosols and trace gases. Very clean conditions were found, dominated by local sulfate-rich acidic aerosol and very aged organics. Evidence of
long-range transport of aerosols from the continents was also identified.
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
Achtert, P., Oconnor, E. J., Brooks, I. M., Sotiropoulou, G., Shupe, M. D.,
Pospichal, B., Brooks, B. J., and Tjernström, M.: Properties of Arctic
liquid and mixed-phase clouds from shipborne Cloudnet observations during
ACSE 2014, Atmos. Chem. Phys., 20, 14983–15002,
https://doi.org/10.5194/acp-20-14983-2020, 2020. a, b, c
Ahn, E., Huang, Y., Chubb, T. H., Baumgardner, D., Isaac, P., de Hoog, M.,
Siems, S. T., and Manton, M. J.: In situ observations of wintertime
low-altitude clouds over the Southern Ocean, Q. J. Roy.
Meteorol. Soc., 143, 1381–1394, https://doi.org/10.1002/qj.3011, 2017. a, b
Ahn, E., Huang, Y., Siems, S. T., and Manton, M. J.: A Comparison of Cloud
Microphysical Properties Derived From MODIS and CALIPSO With In Situ
Measurements Over the Wintertime Southern Ocean, J. Geophys.
Res.-Atmos., 123, 120–11, https://doi.org/10.1029/2018JD028535, 2018. a, b, c
Atkinson, B. W. and Zhang, J. W.: Mesoscale shallow convection in the
atmosphere, Rev. Geophys., 34, 403–431, https://doi.org/10.1029/96RG02623,
1996. a
Berner, A. H., Bretherton, C. S., and Wood, R.: Large eddy simulation of ship
tracks in the collapsed marine boundary layer: A case study from the Monterey
area ship track experiment, Atmos. Chem. Phys., 15,
5851–5871, https://doi.org/10.5194/acp-15-5851-2015, 2015. a
Bony, S., Colman, R., Kattsov, V. M., Allan, R. P., Bretherton, C. S.,
Dufresne, J. L., Hall, A., Hallegatte, S., Holland, M. M., Ingram, W.,
Randall, D. A., Soden, B. J., Tselioudis, G., and Webb, M. J.: How well do
we understand and evaluate climate change feedback processes?, J.
Clim., 19, 3445–3482, https://doi.org/10.1175/JCLI3819.1, 2006. a
Bretherton, C. S.: Insights into low-latitude cloud feedbacks from
high-resolution models, Philos. T. R. Soc. A, 373, 20140415,
https://doi.org/10.1098/rsta.2014.0415, 2015. a
Bretherton, C. S., Uchida, J., and Blossey, P. N.: Slow Manifolds and Multiple
Equilibria in Stratocumulus-Capped Boundary Layers, J. Adv.
Model. Earth Syst., 2, 14, https://doi.org/10.3894/james.2010.2.14, 2010. 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
Burrows, S. M., Hoose, C., Pöschl, U., and Lawrence, M. G.: Ice nuclei
in marine air: Biogenic particles or dust?, Atmos. Chem.
Phys., 13, 245–267, https://doi.org/10.5194/acp-13-245-2013, 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 (data available at: http://www.icare.univ-lille.fr/, last access: 2 December 2020). a, b, c, d, e, f, g, h
Chen, T., Rossow, W. B., and Zhang, Y.: Radiative Effects of Cloud-Type
Variations, J. Clim., 13, 264–286, 2000. a
Cober, S. G. and Isaac, G. A.: Characterization of aircraft icing environments
with Supercooled Large Drops for application to commercial aircraft
certification, J. Appl. Meteorol. Clim., 51, 265–284,
https://doi.org/10.1175/JAMC-D-11-022.1, 2012. a
Delanoë, J. and Hogan, R. J.: A variational scheme for retrieving ice
cloud properties from combined radar, lidar, and infrared radiometer,
J. Geophys. Res.-Atmos., 113, 1–21,
https://doi.org/10.1029/2007JD009000, 2008. a, b
Delanoë, J. and Hogan, R. J.: Combined CloudSat-CALIPSO-MODIS retrievals
of the properties of ice clouds, J. Geophys. Res.
Atmos., 115, D4, https://doi.org/10.1029/2009JD012346, 2010. a, b
DeMott, P. J., Hill, T. C., McCluskey, C. S., Prather, K. A., Collins, D. B.,
Sullivan, R. C., Ruppel, M. J., Mason, R. H., Irish, V. E., Lee, T., Hwang,
C. Y., Rhee, T. S., Snider, J. R., McMeeking, G. R., Dhaniyala, S., Lewis,
E. R., Wentzell, J. J., Abbatt, J., Lee, C., Sultana, C. M., Ault, A. P.,
Axson, J. L., Martinez, M. D., Venero, I., Santos-Figueroa, G., Stokes,
M. D., Deane, G. B., Mayol-Bracero, O. L., Grassian, V. H., Bertram, T. H.,
Bertram, A. K., Moffett, B. F., and Franc, G. D.: Sea spray aerosol as a
unique source of ice nucleating particles, P. Natl.
Acad. Sci. USA, 113, 5797–5803,
https://doi.org/10.1073/pnas.1514034112, 2016. a
D'Alessandro, J. J., McFarquhar, G. M., Wu, W., Stith, J. L., Jensen, J. B.,
and Rauber, R. M.: Characterizing the occurrence and spatial heterogeneity
of liquid, ice and mixed phase low‐level clouds over the Southern Ocean
using in situ observations acquired during SOCRATES, J. Geophys.
Res.-Atmos., 126, 11, https://doi.org/10.1029/2020jd034482, 2021. a, b, c, d, e, f, g, h
Eastman, R., McCoy, I. L., and Wood, R.: Environmental and internal controls
on Lagrangian transitions from closed cell mesoscale cellular convection over
subtropical oceans, J. Atmos. Sci., 78, 2367–2383,
https://doi.org/10.1175/JAS-D-20-0277.1, 2021. a
Eirund, G. K., Lohmann, U., and Possner, A.: Cloud Ice Processes Enhance
Spatial Scales of Organization in Arctic Stratocumulus, Geophys. Res.
Lett., 46, 14109–14117, https://doi.org/10.1029/2019GL084959,
2019a. a, b, c, d
Eirund, G. K., Possner, A., and Lohmann, U.: Response of Arctic mixed-phase
clouds to aerosol perturbations under different surface forcings,
Atmos. Chem. Phys., 19, 9847–9864,
https://doi.org/10.5194/acp-19-9847-2019, 2019b. a, b
Feingold, G., Koren, I., Wang, H., Xue, H., and Brewer, W. A.:
Precipitation-generated oscillations in open cellular cloud fields, Nature,
466, 849–852, https://doi.org/10.1038/nature09314, 2010. a
Fletcher, J., Mason, S., and Jakob, C.: The Climatology, Meteorology, and
Boundary Layer Structure of Marine Cold Air Outbreaks in Both Hemispheres*,
J. Clim., 29, 1999–2014, https://doi.org/10.1175/JCLI-D-15-0268.1,
2016a. a
Fletcher, J. K., Mason, S., and Jakob, C.: A climatology of clouds in marine
cold air outbreaks in both hemispheres, J. Clim., 29, 6677–6692,
https://doi.org/10.1175/JCLI-D-15-0783.1, 2016b. a
Freud, E. and Rosenfeld, D.: Linear relation between convective cloud drop
number concentration and depth for rain initiation, J. Geophys.
Res.-Atmos., 117, D2, https://doi.org/10.1029/2011JD016457, 2012. a
Gayet, J. F., Asano, S., Yamazaki, A., Uchiyama, A., Sinyuk, A., Jourdan, O.,
and Auriol, F.: Two case studies of winter continental-type water and
mixed-phase stratocumuli over the sea 1. Microphysical and optical
properties, J. Geophys. Res.-Atmos., 107, 11-1–11-15,
https://doi.org/10.1029/2001JD001106, 2002. a
Gettelman, A., Hannay, C., Bacmeister, J. T., Neale, R. B., Pendergrass, A. G.,
Danabasoglu, G., Lamarque, J. F., Fasullo, J. T., Bailey, D. A., Lawrence,
D. M., and Mills, M. J.: High Climate Sensitivity in the Community Earth
System Model Version 2 (CESM2), Geophys. Res. Lett., 46,
8329–8337, https://doi.org/10.1029/2019GL083978, 2019. a
Glassmeier, F. and Feingold, G.: Network approach to patterns in stratocumulus
clouds, P. Natl. Acad. Sci. USA, 114,
10578–10583, https://doi.org/10.1073/pnas.1706495114, 2017. a, b
Hallett, J. and Mossop, S. C.: Production of secondary ice particles during
the riming process, Nature, 249, 26–28, https://doi.org/10.1038/249026a0, 1974. a, b
Han, Q., Welch, R., Chou, J., Rossow, W., and White, A.: Validation of
Satellite Retrievals of Cloud Microphysics and Liquid Water Path Using
Observations from FIRE, J. Atmos. Sci., 52, 4183–4195,
https://doi.org/10.1175/1520-0469(1995)052<4183:VOSROC>2.0.CO;2, 1995. a
Hartmann, D. L., Ockert-Bell, M. E., and Michelsen, M. L.: The Effect of cloud
type on earths energy budget: Global Analysis, J. Clim., 5,
1281–1304,
https://doi.org/10.1175/1520-0442(1992)005<1281:TEOCTO>2.0.CO;2, 1992. a
Hu, Y., Rodier, S., Xu, K.-m., Sun, W., Huang, J., Lin, B., Zhai, P., and
Josset, D.: Occurrence, liquid water content, and fraction of supercooled
water clouds from combined CALIOP/IIR/MODIS measurements, J.
Geophys. Res., 115, D00H34, https://doi.org/10.1029/2009JD012384, 2010. a, b, c
Huang, S., Hu, W., Chen, J., Wu, Z., Zhang, D., and Fu, P.: Overview of
biological ice nucleating particles in the atmosphere, Environ.
Int., 146, 106197, https://doi.org/10.1016/j.envint.2020.106197,
2021a. a
Huang, Y., Siems, S. T., Manton, M. J., Protat, A., and Delanoë, J.: A
study on the low-altitude clouds over the Southern Ocean using the
DARDAR-MASK, J. Geophys. Res.-Atmos., 117, 1–15,
https://doi.org/10.1029/2012JD017800, 2012. a, b, c
Huang, Y., Chubb, T. H., Baumgardner, D., DeHoog, M., Siems, S. T., and Manton,
M. J.: Evidence for secondary ice production in Southern Ocean open cellular
convection, Q. J. Roy. Meteorol. Soc., 143,
1685–1703, https://doi.org/10.1002/qj.3041, 2017. a, b, c
Huang, Y., Siems, S. T., and Manton, M. J.: Wintertime In Situ Cloud
Microphysical Properties of Mixed-Phase Clouds Over the Southern Ocean,
J. Geophys. Res.-Atmos., 126, 11,
https://doi.org/10.1029/2021JD034832, 2021b. a, b
Jensen, M. P., Ghate, V. P., Wang, D., Apoznanski, D. K., Bartholomew, M. J.,
Giangrande, S. E., Johnson, K. L., and Thieman, M. M.: Contrasting
characteristics of open- and closed-cellular stratocumulus cloud in the
eastern North Atlantic, Atmos. Chem. Phys., 21,
14557–14571, https://doi.org/10.5194/acp-21-14557-2021, 2021. a, b
Kay, J. E. and Gettelman, A.: Cloud influence on and response to seasonal
Arctic sea ice loss, J. Geophys. Res.-Atmos., 114, D18,
https://doi.org/10.1029/2009JD011773, 2009. a
Keeler, J. M., Jewett, B. F., Rauber, R. M., McFarquhar, G. M., Rasmussen,
R. M., Xue, L., Liu, C., and Thompson, G.: Dynamics of cloud-top generating
cells in winter cyclones, Part I: Idealized simulations in the context of
field observations, J. Atmos. Sci., 73, 1507–1527,
https://doi.org/10.1175/JAS-D-15-0126.1, 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, 154–11,
https://doi.org/10.1029/2018JD028558, 2018. a
Korolev, A. V., McFarquhar, G. M., Field, P. R., Franklin, C. N., Lawson, P.,
Wang, Z., Williams, E., Abel, S. J., Axisa, D., Borrmann, S., Crosier, J.,
Fugal, J., Krämer, M., Lohmann, U., Schlenczek, O., Schnaiter, M., and
Wendisch, M.: Mixed-Phase Clouds: Progress and Challenges, Meteorol.
Monogr., 58, 1–5, https://doi.org/10.1175/amsmonographs-d-17-0001.1, 2017. a
Lang, F., Huang, Y., Protat, A., Truong, S. C. H., Siems, S. T., and Manton,
M. J.: Shallow Convection and Precipitation over the Southern Ocean: A Case
Study during the CAPRICORN 2016 Field Campaign, J. Geophys.
Res.-Atmos., 126, 9, https://doi.org/10.1029/2020JD034088, 2021. a, b
Lang, F., Ackermann, L., Huang, Y., Truong, S. C. H., Siems, S. T., and Manton,
M. J.: A climatology of open and closed mesoscale cellular convection over
the Southern Ocean derived from Himawari-8 observations, Atmos.
Chem. Phys., 22, 2135–2152, https://doi.org/10.5194/acp-22-2135-2022, 2022. a
Lee, S. S., Ha, K.-J., Manoj, M. G., Kamruzzaman, M., Kim, H., Utsumi, N., Zheng, Y., Kim, B.-G., Jung, C. H., Um, J., Guo, J., Choi, K. O., and Kim, G.-U.: Midlatitude mixed-phase stratocumulus clouds and their interactions with aerosols: how ice processes affect microphysical, dynamic, and thermodynamic development in those clouds and interactions?, Atmos. Chem. Phys., 21, 16843–16868, https://doi.org/10.5194/acp-21-16843-2021, 2021. a
Libbrecht, K. G.: The physics of snow crystals, Reports Prog.
Phys., 68, 855–895, https://doi.org/10.1088/0034-4885/68/4/R03, 2005. a, b
Liu, Y., Key, J. R., Ackerman, S. A., Mace, G. G., and Zhang, Q.: Arctic cloud
macrophysical characteristics from CloudSat and CALIPSO, Remote Sens.
Environ., 124, 159–173, https://doi.org/10.1016/j.rse.2012.05.006, 2012. a
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, 3, https://doi.org/10.1029/2006GL028196, 2007. a
Mace, G. G. and Protat, A.: Clouds over the Southern Ocean as observed from
the R/V investigator during CAPRICORN, Part I: Cloud occurrence and phase
partitioning, J. Appl. Meteorol. Clim., 57,
1783–1803, https://doi.org/10.1175/JAMC-D-17-0194.1, 2018. a
Mace, G. G., Protat, A., and Benson, S.: Mixed‐Phase Clouds Over the
Southern Ocean as Observed From Satellite and Surface Based Lidar and Radar,
J. Geophys. Res.-Atmos., 126, 16,
https://doi.org/10.1029/2021JD034569, 2021. a, b, c, d
Magono, C.: The Temperature Conditions for the Growth of Natural and
Artificial Snow Crystals, J. Meteorol. Soc. Jpn.,
40, 185–192, https://doi.org/10.2151/jmsj1923.40.4_185, 1962. a, b
Marchand, R., Mace, G. G., Ackerman, T., and Stephens, G. L.: Hydrometeor
detection using Cloudsat – An earth-orbiting 94-GHz cloud radar, J.
Atmos. Ocean. Technol., 25, 519–533,
https://doi.org/10.1175/2007JTECHA1006.1, 2008. a, b
Mason, S., Jakob, C., Protat, A., and Delanoë, J.: Characterizing
observed midtopped cloud regimes associated with Southern Ocean shortwave
radiation biases, J. Clim., 27, 6189–6203,
https://doi.org/10.1175/JCLI-D-14-00139.1, 2014. a
Matus, A. V. and L'Ecuyer, T. S.: The role of cloud phase in Earth’s
radiation budget, J. Geophys. Res., 122, 2559–2578,
https://doi.org/10.1002/2016JD025951, 2017. a
McCluskey, C. S., DeMott, P. J., Ma, P. L., and Burrows, S. M.: Numerical
Representations of Marine Ice-Nucleating Particles in Remote Marine
Environments Evaluated Against Observations, Geophys. Res. Lett.,
46, 7838–7847, https://doi.org/10.1029/2018GL081861, 2019. a, b, c
McCoy, D. T., Hartmann, D. L., and Grosvenor, D. P.: Observed Southern Ocean
cloud properties and shortwave reflection, Part I: Calculation of SW flux
from observed cloud properties, J. Clim., 27, 8836–8857,
https://doi.org/10.1175/JCLI-D-14-00287.1, 2014a. a, b
McCoy, D. T., Hartmann, D. L., and Grosvenor, D. P.: Observed Southern Ocean
cloud properties and shortwave reflection, Part II: Phase changes and low
cloud feedback, J. Clim., 27, 8858–8868,
https://doi.org/10.1175/JCLI-D-14-00288.1, 2014b. a, b
McCoy, D. T., Hartmann, D. L., Zelinka, M. D., Ceppi, P., and Grosvenor, D. P.:
Mixed-phase cloud physics and Southern Ocean cloud feedback in climate
models, J. Geophys. Res., 120, 9539–9554,
https://doi.org/10.1002/2015JD023603, 2015. a
McFarquhar, G. M. and Cober, S. G.: Single-scattering properties of
mixed-phase Arctic clouds at solar wavelengths: Impacts on radiative
transfer, J. Clim., 17, 3799–3813,
https://doi.org/10.1175/1520-0442(2004)017<3799:SPOMAC>2.0.CO;2, 2004. a
McFarquhar, G. M., Bretherton, C. S., Marchand, R., Protat, A., DeMott, P. J.,
Alexander, S. P., Roberts, G. C., Twohy, C. H., Toohey, D. W., Siems, S. T.,
Huang, Y., Wood, R., Rauber, R. M., Lasher-Trapp, S., Jensen, J. B., Stith,
J. L., Mace, G. G., Um, J., Järvinen, E., Schnaiter, M., Gettelman, A.,
Sanchez, K. J., McCluskey, C. S., Russell, L. M., McCoy, I. L., Atlas, R. L.,
Bardeen, C. G., Moore, K. A., Hill, T. C., Humphries, R. S., Keywood, M. D.,
Ristovski, Z., Cravigan, L., Schofield, R., Fairall, C., Mallet, M. D.,
Kreidenweis, S. M., Rainwater, B., D’Alessandro, J. J., Wang, Y., Wu, W.,
Saliba, G., Levin, E. J. T., Ding, S., Lang, F., Truong, S. C. H., Wolff, C.,
Haggerty, J., Harvey, M. J., Klekociuk, A. R., and McDonald, A.:
Observations of Clouds, Aerosols, Precipitation, and Surface Radiation over
the Southern Ocean: An Overview of CAPRICORN, MARCUS, MICRE, and SOCRATES,
Bull. Am. Meteorol. Soc., 102, E894–E928,
https://doi.org/10.1175/BAMS-D-20-0132.1, 2021. a
Mioche, G., Jourdan, O., Ceccaldi, M., and Delanoë, J.: Variability of
mixed-phase clouds in the Arctic with a focus on the Svalbard region: A study
based on spaceborne active remote sensing, Atmos. Chem.
Phys., 15, 2445–2461, https://doi.org/10.5194/acp-15-2445-2015, 2015. a
Morrison, A. E., Siems, S. T., and Manton, M. J.: A three-year climatology of
cloud-top phase over the Southern Ocean and North Pacific, J. Clim., 24, 2405–2418, https://doi.org/10.1175/2010JCLI3842.1, 2011. a, b, c
Morrison, A. L., Kay, J. E., Chepfer, H., Guzman, R., and Yettella, V.:
Isolating the Liquid Cloud Response to Recent Arctic Sea Ice Variability
Using Spaceborne Lidar Observations, J. Geophys. Res.-Atmos., 123, 473–490, https://doi.org/10.1002/2017JD027248, 2018. a
Mülmenstädt, J., Sourdeval, O., Delanoë, J., and Quaas, J.:
Frequency of occurrence of rain from liquid-, mixed-, and ice-phase clouds
derived from A-Train satellite retrievals, Geophys. Res. Lett., 42,
6502–6509, https://doi.org/10.1002/2015GL064604, 2015. a
Niu, J., Carey, L. D., Yang, P., and Vonder Haar, T. H.: Optical properties of
a vertically inhomogeneous mid-latitude mid-level mixed-phase altocumulus in
the infrared region, Atmos. Res., 88, 234–242,
https://doi.org/10.1016/j.atmosres.2007.11.020, 2008. a
Noh, Y.-J., Miller, S. D., Heidinger, A. K., Mace, G. G., Protat, A., and
Alexander, S. P.: Satellite-Based Detection of Daytime Supercooled
Liquid-Topped Mixed-Phase Clouds Over the Southern Ocean Using the Advanced
Himawari Imager, J. Geophys. Res.-Atmos., 124,
2677–2701, https://doi.org/10.1029/2018JD029524, 2019. a
Platnick, S. and Twomey, S.: Determining the Susceptibility of Cloud Albedo to
Changes in Droplet Concentration with the Advanced Very High Resolution
Radiometer, J. Appl. Meteorol., 33, 334–347,
https://doi.org/10.1175/1520-0450(1994)033<0334:DTSOCA>2.0.CO;2, 1994. a
Platnick, S., Hubanks, P. A., Meyer, K. G., and King, M. D.: MODIS Atmosphere
L3 Monthly Product, NASA MODIS Adaptive Processing System, Goddard Space
Flight Center [data set], USA, https://doi.org/10.5067/MODIS/MOD08_M3.006,
2015. a, b
Ramanathan, V., Cess, D., Harrison, E. F., Minnis, P., Barkstrom, B. R., Ahmad,
E., and Hartmann, D. L.: Cloud-radiative forcing and climate: Results from
the earth radiation budget experiment, Science, 243, 57–63, https://doi.org/10.1126/science.243.4887.57, 1989. a
Randall, D. A., Coakley, J. A., Fairall, C. W., Kropfli, R. A., and Lenschow,
D. H.: Outlook for Research on Subtropical, Am. Meteorol.
Soc., 65, 1290–1301, 1984. a
Rangno, A. L. and Hobbs, P. V.: Microstructures and precipitation development
in cumulus and small cumulonimbus clouds over the warm pool of the tropical
Pacific Ocean, Q. J. Roy. Meteorol. Soc., 131,
639–673, https://doi.org/10.1256/qj.04.13, 2005. a
Riley, E. M. and Mapes, B. E.: Unexpected peak near −15 ∘C in
CloudSat echo top climatology, Geophys. Res. Lett., 36, 9,
https://doi.org/10.1029/2009GL037558, 2009. a
Roesler, E. L., Posselt, D. J., and Rood, R. B.: Using large eddy simulations
to reveal the size, strength, and phase of updraft and downdraft cores of an
Arctic mixed-phase stratocumulus cloud, J. Geophys. Res.,
122, 4378–4400, https://doi.org/10.1002/2016JD026055, 2017. a
Rosenfeld, D., Wang, H., and Rasch, P. J.: The roles of cloud drop effective
radius and LWP in determining rain properties in marine
stratocumulus, Geophys. Res. Lett., 39, 13,
https://doi.org/10.1029/2012GL052028, 2012. a
Shcherbakov, V., Gayet, J. F., Jourdan, O., Minikin, A., Ström, J., and
Petzold, A.: Assessment of cirrus cloud optical and microphysical data
reliability by applying statistical procedures, J. Atmos.
Ocean. Technol., 22, 409–420, https://doi.org/10.1175/JTECH1710.1, 2005. a
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, b
Shupe, M. D., Daniel, J. S., de Boer, G., Eloranta, E. W., Kollias, P., Long,
C. N., Luke, E. P., Turner, D. D., and Verlinde, J.: A focus on mixed-phase
clouds, Bull. Am. Meteorol. Soc., 89, 1549–1562,
https://doi.org/10.1175/2008BAMS2378.1, 2008. a
Silber, I., Fridlind, A. M., Verlinde, J., Ackerman, A. S., Chen, Y. S.,
Bromwich, D. H., Wang, S. H., Cadeddu, M., and Eloranta, E. W.: Persistent
Supercooled Drizzle at Temperatures Below −25 ∘C Observed at
McMurdo Station, Antarctica, J. Geophys. Res.-Atmos.,
124, 10878–10895, https://doi.org/10.1029/2019JD030882, 2019. a
Silber, I., Fridlind, A. M., Verlinde, J., Ackerman, A. S., Cesana, G. V., and
Knopf, D. A.: The prevalence of precipitation from polar supercooled
clouds, Atmos. Chem. Phys., 21, 3949–3971,
https://doi.org/10.5194/acp-21-3949-2021, 2021a. a
Silber, I., McGlynn, P. S., Harrington, J. Y., and Verlinde, J.:
Habit-Dependent Vapor Growth Modulates Arctic Supercooled Water Occurrence,
Geophys. Res. Lett., 48, 10, https://doi.org/10.1029/2021GL092767,
2021b. a, b, c, d
Sullivan, S. C., Hoose, C., Kiselev, A., Leisner, T., and Nenes, A.:
Initiation of secondary ice production in clouds, Atmos. Chem.
Phys., 18, 1593–1610, https://doi.org/10.5194/acp-18-1593-2018, 2018. a, b, c
Sun, Z. and Shine, K. P.: Studies of the radiative properties of ice and
mixed-phase clouds, Q. J. Roy. Meteorol. Soc.,
120, 111–137, https://doi.org/10.1002/qj.49712051508, 1994. a
Takahashi, T., Nagao, Y., and Kushiyama, Y.: Possible High Ice Particle
Produtcion during Graupel-Graupel Collisions, Am. Meteorol.
Soc., 52, 4523–4527, https://doi.org/10.1175/1520-0469(1995)052<4523:PHIPPD>2.0.CO;2, 1995. a, b, c
Tan, I. and Storelvmo, T.: Evidence of Strong Contributions From Mixed-Phase
Clouds to Arctic Climate Change, Geophys. Res. Lett., 46,
2894–2902, https://doi.org/10.1029/2018GL081871, 2019. a
Taylor, P. C., Kato, S., Xu, K. M., and Cai, M.: Covariance between Arctic sea
ice and clouds within atmospheric state regimes at the satellite footprint
level, J. Geophys. Res., 120, 12656–12678,
https://doi.org/10.1002/2015JD023520, 2015. a
Vergara-Temprado, J., Murray, B. J., Wilson, T. W., O'Sullivan, D., Browse, J.,
Pringle, K. J., Ardon-Dryer, K., Bertram, A. K., Burrows, S. M., Ceburnis,
D., Demott, P. J., Mason, R. H., O'Dowd, C. D., Rinaldi, M., and Carslaw,
K. S.: Contribution of feldspar and marine organic aerosols to global ice
nucleating particle concentrations, Atmos. Chem. Phys., 17,
3637–3658, https://doi.org/10.5194/acp-17-3637-2017, 2017. a
Villanueva, D., Senf, F., and Tegen, I.: Hemispheric and Seasonal Contrast in
Cloud Thermodynamic Phase From A-Train Spaceborne Instruments, J. Geophys. Res.-Atmos., 126, 1–12, https://doi.org/10.1029/2020JD034322,
2021. a
Wall, C. J., Kohyama, T., and Hartmann, D. L.: Low-cloud, boundary layer, and
sea ice interactions over the Southern Ocean during winter, J. Clim., 30, 4857–4871, https://doi.org/10.1175/JCLI-D-16-0483.1, 2017. a
Wang, Y., McFarquhar, G. M., Rauber, R. M., Zhao, C., Wu, W., Finlon, J. A.,
Stechman, D. M., Stith, J., Jensen, J. B., Schnaiter, M., Järvinen, E.,
Waitz, F., Vivekanandan, J., Dixon, M., Rainwater, B., and Toohey, D. W.:
Microphysical Properties of Generating Cells Over the Southern Ocean:
Results From SOCRATES, J. Geophys. Res.-Atmos., 125, 13,
https://doi.org/10.1029/2019JD032237, 2020. a
Wood, R.: Clouds and Fog: Stratus and Stratocumulus, Vol. 2, Elsevier, 2nd Edn., https://doi.org/10.1016/B978-0-12-382225-3.00396-0, 2015. 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, c
Wood, R., Comstock, K. K., Bretherton, C. S., Cornish, C., Tomlinson, J.,
Collins, D. R., and Fairall, C. W.: Open cellular structure in marine
stratocumulus sheets, J. Geophys. Res., 113, 1–16,
https://doi.org/10.1029/2007JD009371, 2008. a
Wood, R., Bretherton, C. S., Leon, D. C., Clarke, A. D., Zuidema, P., Allen,
G., and Coe, H.: An aircraft case study of the spatial transition from
closed to open mesoscale cellular convection over the Southeast Pacific,
Atmos. Chem. Phys., 11, 2341–2370,
https://doi.org/10.5194/acp-11-2341-2011, 2011. a
Xu, G., Schnaiter, M., and Järvinen, E.: Accurate Retrieval of Asymmetry
Parameter for Large and Complex Ice Crystals From In-Situ Polar Nephelometer
Measurements, J. Geophys. Res.-Atmos., 127, 1–19,
https://doi.org/10.1029/2021JD036071, 2022. a
Yamaguchi, T. and Feingold, G.: On the relationship between open cellular
convective cloud patterns and the spatial distribution of precipitation,
Atmos. Chem. Phys., 15, 1237–1251,
https://doi.org/10.5194/acp-15-1237-2015, 2015. a
Yang, F., Ovchinnikov, M., and Shaw, R. A.: Minimalist model of ice
microphysics in mixed-phase stratiform clouds, Geophys. Res. Lett.,
40, 3756–3760, https://doi.org/10.1002/GRL.50700, 2013. a
Young, G., Connolly, P. J., Dearden, C., and Choularton, T. W.: Relating
large-scale subsidence to convection development in Arctic mixed-phase marine
stratocumulus, Atmos. Chem. Phys., 18, 1475–1494,
https://doi.org/10.5194/acp-18-1475-2018, 2018. a, b
Zaremba, T. J., Rauber, R. M., McFarquhar, G. M., DeMott, P. J.,
D'Alessandro, J. J., and Wu, W.: Ice in Southern Ocean Clouds With Cloud
Top Temperatures Exceeding −5 ∘C, J. Geophys. Res.-Atmos., 126, 1–13, https://doi.org/10.1029/2021JD034574, 2021. a, b
Zelinka, M. D., Klein, S. A., and Hartmann, D. L.: Computing and partitioning
cloud feedbacks using cloud property histograms. Part II: Attribution to
changes in cloud amount, altitude, and optical depth, J. Clim.,
25, 3736–3754, https://doi.org/10.1175/JCLI-D-11-00249.1, 2012. a
Zelinka, M. D., Klein, S. A., Taylor, K. E., Andrews, T., Webb, M. J., Gregory,
J. M., and Forster, P. M.: Contributions of different cloud types to
feedbacks and rapid adjustments in CMIP5, J. Clim., 26,
5007–5027, https://doi.org/10.1175/JCLI-D-12-00555.1, 2013. a
Zelinka, M. D., Myers, T. A., McCoy, D. T., Po-Chedley, S., Caldwell, P. M.,
Ceppi, P., Klein, S. A., and Taylor, K. E.: Causes of Higher Climate
Sensitivity in CMIP6 Models, Geophys. Res. Lett., 47, 1,
https://doi.org/10.1029/2019GL085782, 2020.
a
Zhang, D., Luo, T., Liu, D., and Wang, Z.: Spatial scales of altocumulus
clouds observed with collocated CALIPSO and CloudSat measurements,
Atmos. Res., 148, 58–69, https://doi.org/10.1016/j.atmosres.2014.05.023,
2014. a
Zhang, D., Liu, D., Luo, T., Wang, Z., and Yin, Y.: Aerosol impacts on cloud
thermodynamic phase change over East Asia observed with CALIPSO and CloudSat
measurements, J. Geophys. Res.-Atmos., 120, 1490–1501,
https://doi.org/10.1002/2014JD022630, 2015. a
Zhang, D., Wang, Z., Luo, T., Yin, Y., and Flynn, C.: The occurrence of ice
production in slightly supercooled Arctic stratiform clouds as observed by
ground-based remote sensors at the ARM NSA site, J. Geophys. Res., 122, 2867–2877, https://doi.org/10.1002/2016JD026226, 2017. a
Zhang, D., Wang, Z., Kollias, P., Vogelmann, A. M., Yang, K., and Luo, T.: Ice
particle production in mid-level stratiform mixed-phase clouds observed with
collocated A-Train measurements, Atmos. Chem. Phys., 18,
4317–4327, https://doi.org/10.5194/acp-18-4317-2018, 2018. a
Zhou, X., Ackerman, A. S., Fridlind, A. M., and Kollias, P.: Simulation of
mesoscale cellular convection in marine stratocumulus, Part I: Drizzling
conditions, J. Atmos. Sci., 75, 257–274,
https://doi.org/10.1175/JAS-D-17-0070.1, 2018. a
Short summary
Using spaceborne lidar-radar retrievals, we show that seasonal changes in cloud phase outweigh changes in cloud-phase statistics across cloud morphologies at given cloud-top temperatures. These results show that cloud morphology does not seem to pose a primary constraint on cloud-phase statistics in the Southern Ocean. Meanwhile, larger changes in in-cloud albedo across cloud morphologies are observed in supercooled liquid rather than mixed-phase stratocumuli.
Using spaceborne lidar-radar retrievals, we show that seasonal changes in cloud phase outweigh...
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