Articles | Volume 18, issue 20
https://doi.org/10.5194/acp-18-15329-2018
© Author(s) 2018. 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-18-15329-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Observations of the microphysical evolution of convective clouds in the southwest of the United Kingdom
University of Wyoming Department of Atmospheric Sciences, 1000 E.
University Ave, Laramie, WY, USA
now at: Argonne National Laboratory, Environmental Sciences
Division, 9700 Cass Ave, Argonne, IL, USA
Jeffrey R. French
University of Wyoming Department of Atmospheric Sciences, 1000 E.
University Ave, Laramie, WY, USA
David C. Leon
University of Wyoming Department of Atmospheric Sciences, 1000 E.
University Ave, Laramie, WY, USA
now at: Alpenglow Instruments, Laramie, WY, USA
David M. Plummer
University of Wyoming Department of Atmospheric Sciences, 1000 E.
University Ave, Laramie, WY, USA
Sonia Lasher-Trapp
University of Illinois at Urbana-Champaign Department of Atmospheric
Sciences, 105 S. Gregory St., Urbana, IL, USA
Alan M. Blyth
National Centre for Atmospheric Science, University of Leeds, Leeds, UK
Alexei Korolev
Environment and Climate Change Canada, Cloud Physics and Severe
Weather Section, Downsview, ON, USA
Related authors
G. Alexander Sokolowsky, Sean W. Freeman, William K. Jones, Julia Kukulies, Fabian Senf, Peter J. Marinescu, Max Heikenfeld, Kelcy N. Brunner, Eric C. Bruning, Scott M. Collis, Robert C. Jackson, Gabrielle R. Leung, Nils Pfeifer, Bhupendra A. Raut, Stephen M. Saleeby, Philip Stier, and Susan C. van den Heever
Geosci. Model Dev., 17, 5309–5330, https://doi.org/10.5194/gmd-17-5309-2024, https://doi.org/10.5194/gmd-17-5309-2024, 2024
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Building on previous analysis tools developed for atmospheric science, the original release of the Tracking and Object-Based Analysis (tobac) Python package, v1.2, was open-source, modular, and insensitive to the type of gridded input data. Here, we present the latest version of tobac, v1.5, which substantially improves scientific capabilities and computational efficiency from the previous version. These enhancements permit new uses for tobac in atmospheric science and potentially other fields.
Bhupendra A. Raut, Paytsar Muradyan, Rajesh Sankaran, Robert C. Jackson, Seongha Park, Sean A. Shahkarami, Dario Dematties, Yongho Kim, Joseph Swantek, Neal Conrad, Wolfgang Gerlach, Sergey Shemyakin, Pete Beckman, Nicola J. Ferrier, and Scott M. Collis
Atmos. Meas. Tech., 16, 1195–1209, https://doi.org/10.5194/amt-16-1195-2023, https://doi.org/10.5194/amt-16-1195-2023, 2023
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We studied the stability of a blockwise phase correlation (PC) method to estimate cloud motion using a total sky imager (TSI). Shorter frame intervals and larger block sizes improve stability, while image resolution and color channels have minor effects. Raindrop contamination can be identified by the rotational motion of the TSI mirror. The correlations of cloud motion vectors (CMVs) from the PC method with wind data vary from 0.38 to 0.59. Optical flow vectors are more stable than PC vectors.
Israel Silber, Robert C. Jackson, Ann M. Fridlind, Andrew S. Ackerman, Scott Collis, Johannes Verlinde, and Jiachen Ding
Geosci. Model Dev., 15, 901–927, https://doi.org/10.5194/gmd-15-901-2022, https://doi.org/10.5194/gmd-15-901-2022, 2022
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The Earth Model Column Collaboratory (EMC2) is an open-source ground-based (and air- or space-borne) lidar and radar simulator and subcolumn generator designed for large-scale models, in particular climate models, applicable also for high-resolution models. EMC2 emulates measurements while remaining faithful to large-scale models' physical assumptions implemented in their cloud or radiation schemes. We demonstrate the use of EMC2 to compare AWARE measurements with the NASA GISS ModelE3 and LES.
Zane Dedekind, Alexei Korolev, and Jason A. Milbrandt
Atmos. Chem. Phys., 26, 4489–4508, https://doi.org/10.5194/acp-26-4489-2026, https://doi.org/10.5194/acp-26-4489-2026, 2026
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We studied how airplane contrails form and persist under cold, moist conditions. Using computer simulations and real observations, we found that weather predicting models often underestimate moisture levels, limiting accurate trail prediction. Adjusting how ice grows in clouds allowed us to better simulate these contrails. Improving moisture representation in models can help predict the climate effects of these clouds.
Alexei V. Korolev and R. Paul Lawson
Atmos. Chem. Phys., 26, 2331–2352, https://doi.org/10.5194/acp-26-2331-2026, https://doi.org/10.5194/acp-26-2331-2026, 2026
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The International Panel on Climate Change has concluded that aerosols and clouds are significant contributors to the rate of warming in the Arctic, which is now shown to be more than twice that of the global average. Climate model predictions suggest that the Arctic Ocean will become ice-free sometime between 2030 and 2050. The research presented here increases our knowledge of how aerosols, clouds and surface properties contribute to warming and the melting of sea ice in the Arctic.
Bowen Z. Portman, Paul J. Connolly, Alan M. Blyth, Rachel L. James, and Huihui Wu
EGUsphere, https://doi.org/10.5194/egusphere-2026-302, https://doi.org/10.5194/egusphere-2026-302, 2026
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Secondary ice production (SIP) is key to explaining the high ice particle concentrations observed in deep convective clouds. We investigate secondary ice production in summer convective clouds over New Mexico, and our results show that collisions between supercooled water droplets and more massive ice particles are the dominant SIP mechanism in these clouds. We also find that the entrainment of external aerosols leads to earlier ice enhancement under homogeneous mixing.
Deepak Waman, Julian Meusel, Behrooz Keshtgar, Gabriella Wallentin, Christian Barthlott, Sachin Patade, Sonali Shete, Thara Prabhakaran, Romain Fievet, Declan Finney, Alan Blyth, and Corinna Hoose
EGUsphere, https://doi.org/10.5194/egusphere-2025-6129, https://doi.org/10.5194/egusphere-2025-6129, 2026
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We use a weather model with aircraft and satellite data to study ice multiplication in thunderstorms across India, Mexico, Oklahoma, and the Atlantic. This process can create spurious ice particles in clouds, thereby increasing latent and radiative heating that strengthens storms and extends cloud lifetimes. These results improve our understanding of how small-scale ice processes influence large-scale storm behavior and rainfall patterns.
Mengyu Sun, Paul J. Connolly, Paul R. Field, Declan L. Finney, and Alan M. Blyth
Atmos. Chem. Phys., 25, 18549–18569, https://doi.org/10.5194/acp-25-18549-2025, https://doi.org/10.5194/acp-25-18549-2025, 2025
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We investigated how extra ice particles form inside tropical storm clouds and how they affect rainfall and sunlight reflection. By using a weather model, we found that these extra ice particles can change how clouds grow, reduce heat escaping to space, and slightly shift where rain falls. This helps improve how weather and climate models predict tropical storms.
Huihui Wu, Nicholas Marsden, Paul Connolly, Michael Flynn, Paul I. Williams, Declan Finney, Kezhen Hu, Graeme J. Nott, Navaneeth M. Thamban, Keith Bower, Alan Blyth, Martin Gallagher, and Hugh Coe
Atmos. Chem. Phys., 25, 18409–18429, https://doi.org/10.5194/acp-25-18409-2025, https://doi.org/10.5194/acp-25-18409-2025, 2025
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Airborne observations over the Magdalena Mountains in New Mexico underscore the combined influence of meteorological conditions and aerosol characteristics on the development of deep-convective clouds under different flow regimes. Model-observation comparisons emphasize the critical role of aerosol entrainment in reproducing the observed broad cloud droplet spectra. This study provides valuable constraints for improving parameterizations of aerosol-cloud interactions in deep convective systems.
Zhipeng Qu, Alexei Korolev, Jason A. Milbrandt, Ivan Heckman, Mélissa Cholette, Cuong Nguyen, and Mengistu Wolde
Atmos. Chem. Phys., 25, 17845–17868, https://doi.org/10.5194/acp-25-17845-2025, https://doi.org/10.5194/acp-25-17845-2025, 2025
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This study examines the impact of incorporating secondary ice production (SIP) parameterizations into high-resolution numerical weather prediction simulations for mid-latitude continental winter conditions. Aircraft in situ and remote sensing observations are used to evaluate the simulations. Results show that including SIP improves the representation of cloud and freezing rain properties, with its impact varying based on cloud regime, such as convective or stratiform.
Mengyu Sun, Paul J. Connolly, Paul R. Field, Declan L. Finney, and Alan M. Blyth
EGUsphere, https://doi.org/10.5194/egusphere-2025-5665, https://doi.org/10.5194/egusphere-2025-5665, 2025
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We use a high resolution weather model together with satellite and radar data to study how small particles in the air influence ice and rain in a tropical storm near Darwin. We find that when particle levels are moderate, storm clouds form more ice high in the atmosphere, spread a wider cloud cover, and produce stronger rainfall concentrated in certain regions. These results help improve how weather and climate models represent tropical storms and their rainfall.
Declan L. Finney, Alan M. Blyth, Paul R. Field, Martin I. Daily, Benjamin J. Murray, Mengyu Sun, Paul J. Connolly, Zhiqiang Cui, and Steven Böing
Atmos. Chem. Phys., 25, 10907–10929, https://doi.org/10.5194/acp-25-10907-2025, https://doi.org/10.5194/acp-25-10907-2025, 2025
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We present observation-informed modelling from the Deep Convective Microphysics Experiment (DCMEX) to study how environmental conditions and cloud processes affect anvil cloud albedo and radiation. Aerosols influencing cloud droplets or influencing ice formation yield varying radiative effects. We introduce fingerprint metrics to discern these effects. Using detailed observations and modelling, we offer insights into high-cloud radiative effects and feedbacks.
Alexei Korolev, Zhipeng Qu, Jason Milbrandt, Ivan Heckman, Mélissa Cholette, Mengistu Wolde, Cuong Nguyen, Greg M. McFarquhar, Paul Lawson, and Ann M. Fridlind
Atmos. Chem. Phys., 24, 11849–11881, https://doi.org/10.5194/acp-24-11849-2024, https://doi.org/10.5194/acp-24-11849-2024, 2024
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The phenomenon of high ice water content (HIWC) occurs in mesoscale convective systems (MCSs) when a large number of small ice particles with typical sizes of a few hundred micrometers is found at high altitudes. It was found that secondary ice production in the vicinity of the melting layer plays a key role in the formation and maintenance of HIWC. This study presents a conceptual model of the formation of HIWC in tropical MCSs based on in situ observations and numerical simulation.
G. Alexander Sokolowsky, Sean W. Freeman, William K. Jones, Julia Kukulies, Fabian Senf, Peter J. Marinescu, Max Heikenfeld, Kelcy N. Brunner, Eric C. Bruning, Scott M. Collis, Robert C. Jackson, Gabrielle R. Leung, Nils Pfeifer, Bhupendra A. Raut, Stephen M. Saleeby, Philip Stier, and Susan C. van den Heever
Geosci. Model Dev., 17, 5309–5330, https://doi.org/10.5194/gmd-17-5309-2024, https://doi.org/10.5194/gmd-17-5309-2024, 2024
Short summary
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Building on previous analysis tools developed for atmospheric science, the original release of the Tracking and Object-Based Analysis (tobac) Python package, v1.2, was open-source, modular, and insensitive to the type of gridded input data. Here, we present the latest version of tobac, v1.5, which substantially improves scientific capabilities and computational efficiency from the previous version. These enhancements permit new uses for tobac in atmospheric science and potentially other fields.
Gary Lloyd, Alan Blyth, Zhiqiang Cui, Thomas Choularton, Keith Bower, Martin Gallagher, Michael Flynn, Nicholas Marsden, Leif Denby, and Peter Gallimore
EGUsphere, https://doi.org/10.5194/egusphere-2024-142, https://doi.org/10.5194/egusphere-2024-142, 2024
Preprint archived
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Clouds that develop in the tropical trade-wind regions are extensive and persistent in nature. They are important for understanding how the magnitude of warming by these cloud systems might change in a warming climate. This paper describes measurements of common cloud types in these regions (shallow cumulus clouds) and the way in which they produce rainfall. During different periods, with different amounts of particulate in the air, the characteristics of the clouds were very different.
Zhiqiang Cui, Alan Blyth, Ralph Burton, Sandrine Bony, Steven Böing, Alan Gadian, and Leif Denby
EGUsphere, https://doi.org/10.5194/egusphere-2023-1999, https://doi.org/10.5194/egusphere-2023-1999, 2023
Preprint archived
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Cumulus clouds near Barbados can influence how much heat and energy reaches the Earth's surface. A cluster of clouds resembling a flower is presented. Satellite images, dropsonde data, and weather data are used to understand how this cloud system developed. A significant feature was the appearance of a large area of rain at the centre of the cloud system during its later stages. The paper also studied the environmental conditions around the cloud system.
Bhupendra A. Raut, Paytsar Muradyan, Rajesh Sankaran, Robert C. Jackson, Seongha Park, Sean A. Shahkarami, Dario Dematties, Yongho Kim, Joseph Swantek, Neal Conrad, Wolfgang Gerlach, Sergey Shemyakin, Pete Beckman, Nicola J. Ferrier, and Scott M. Collis
Atmos. Meas. Tech., 16, 1195–1209, https://doi.org/10.5194/amt-16-1195-2023, https://doi.org/10.5194/amt-16-1195-2023, 2023
Short summary
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We studied the stability of a blockwise phase correlation (PC) method to estimate cloud motion using a total sky imager (TSI). Shorter frame intervals and larger block sizes improve stability, while image resolution and color channels have minor effects. Raindrop contamination can be identified by the rotational motion of the TSI mirror. The correlations of cloud motion vectors (CMVs) from the PC method with wind data vary from 0.38 to 0.59. Optical flow vectors are more stable than PC vectors.
David E. Kingsmill, Jeffrey R. French, and Neil P. Lareau
Atmos. Chem. Phys., 23, 1–21, https://doi.org/10.5194/acp-23-1-2023, https://doi.org/10.5194/acp-23-1-2023, 2023
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This study uses in situ aircraft measurements to characterize the size and shape distributions of 10 µm to 6 mm diameter particles observed during six penetrations of wildfire-induced pyroconvection. Particles sampled in one penetration of a smoke plume are most likely pyrometeors composed of ash. The other penetrations are through pyrocumulus clouds where particle composition is most likely a combination of hydrometeors (ice particles) and pyrometeors (ash).
Sergey Y. Matrosov, Alexei Korolev, Mengistu Wolde, and Cuong Nguyen
Atmos. Meas. Tech., 15, 6373–6386, https://doi.org/10.5194/amt-15-6373-2022, https://doi.org/10.5194/amt-15-6373-2022, 2022
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A remote sensing method to retrieve sizes of particles in ice clouds and precipitation from radar measurements at two wavelengths is described. This method is based on relating the particle size information to the ratio of radar signals at these two wavelengths. It is demonstrated that this ratio is informative about different characteristic particle sizes. Knowing atmospheric ice particle sizes is important for many applications such as precipitation estimation and climate modeling.
Alexei Korolev, Paul J. DeMott, Ivan Heckman, Mengistu Wolde, Earle Williams, David J. Smalley, and Michael F. Donovan
Atmos. Chem. Phys., 22, 13103–13113, https://doi.org/10.5194/acp-22-13103-2022, https://doi.org/10.5194/acp-22-13103-2022, 2022
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The present study provides the first explicit in situ observation of secondary ice production at temperatures as low as −27 °C, which is well outside the range of the Hallett–Mossop process (−3 to −8 °C). This observation expands our knowledge of the temperature range of initiation of secondary ice in clouds. The obtained results are intended to stimulate laboratory and theoretical studies to develop physically based parameterizations for weather prediction and climate models.
Zhipeng Qu, Alexei Korolev, Jason A. Milbrandt, Ivan Heckman, Yongjie Huang, Greg M. McFarquhar, Hugh Morrison, Mengistu Wolde, and Cuong Nguyen
Atmos. Chem. Phys., 22, 12287–12310, https://doi.org/10.5194/acp-22-12287-2022, https://doi.org/10.5194/acp-22-12287-2022, 2022
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Secondary ice production (SIP) is an important physical phenomenon that results in an increase in the cloud ice particle concentration and can have a significant impact on the evolution of clouds. Here, idealized simulations of a tropical convective system were conducted. Agreement between the simulations and observations highlights the impacts of SIP on the maintenance of tropical convection in nature and the importance of including the modelling of SIP in numerical weather prediction models.
Yongjie Huang, Wei Wu, Greg M. McFarquhar, Ming Xue, Hugh Morrison, Jason Milbrandt, Alexei V. Korolev, Yachao Hu, Zhipeng Qu, Mengistu Wolde, Cuong Nguyen, Alfons Schwarzenboeck, and Ivan Heckman
Atmos. Chem. Phys., 22, 2365–2384, https://doi.org/10.5194/acp-22-2365-2022, https://doi.org/10.5194/acp-22-2365-2022, 2022
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Numerous small ice crystals in tropical convective storms are difficult to detect and could be potentially hazardous for commercial aircraft. Previous numerical simulations failed to reproduce this phenomenon and hypothesized that key microphysical processes are still lacking in current models to realistically simulate the phenomenon. This study uses numerical experiments to confirm the dominant role of secondary ice production in the formation of these large numbers of small ice crystals.
Zhiqiang Cui, Alan Blyth, Yahui Huang, Gary Lloyd, Thomas Choularton, Keith Bower, Paul Field, Rachel Hawker, and Lindsay Bennett
Atmos. Chem. Phys., 22, 1649–1667, https://doi.org/10.5194/acp-22-1649-2022, https://doi.org/10.5194/acp-22-1649-2022, 2022
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High concentrations of ice particles were observed at temperatures greater than about –8 C. The default scheme of the secondary ice production cannot explain the high concentrations. Relaxing the conditions for secondary ice production or considering dust aerosol alone is insufficient to produce the observed amount of ice particles. It is likely that multi-thermals play an important role in producing very high concentrations of secondary ice particles in some tropical clouds.
Israel Silber, Robert C. Jackson, Ann M. Fridlind, Andrew S. Ackerman, Scott Collis, Johannes Verlinde, and Jiachen Ding
Geosci. Model Dev., 15, 901–927, https://doi.org/10.5194/gmd-15-901-2022, https://doi.org/10.5194/gmd-15-901-2022, 2022
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The Earth Model Column Collaboratory (EMC2) is an open-source ground-based (and air- or space-borne) lidar and radar simulator and subcolumn generator designed for large-scale models, in particular climate models, applicable also for high-resolution models. EMC2 emulates measurements while remaining faithful to large-scale models' physical assumptions implemented in their cloud or radiation schemes. We demonstrate the use of EMC2 to compare AWARE measurements with the NASA GISS ModelE3 and LES.
Stefan Metzger, David Durden, Sreenath Paleri, Matthias Sühring, Brian J. Butterworth, Christopher Florian, Matthias Mauder, David M. Plummer, Luise Wanner, Ke Xu, and Ankur R. Desai
Atmos. Meas. Tech., 14, 6929–6954, https://doi.org/10.5194/amt-14-6929-2021, https://doi.org/10.5194/amt-14-6929-2021, 2021
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The key points are the following. (i) Integrative observing system design can multiply the information gain of surface–atmosphere field measurements. (ii) Catalyzing numerical simulations and first-principles machine learning open up observing system simulation experiments to novel applications. (iii) Use cases include natural climate solutions, emission inventory validation, urban air quality, and industry leak detection.
Haoran Li, Alexei Korolev, and Dmitri Moisseev
Atmos. Chem. Phys., 21, 13593–13608, https://doi.org/10.5194/acp-21-13593-2021, https://doi.org/10.5194/acp-21-13593-2021, 2021
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Kelvin–Helmholtz (K–H) clouds embedded in a stratiform precipitation event were uncovered via radar Doppler spectral analysis. Given the unprecedented detail of the observations, we show that multiple populations of secondary ice columns were generated in the pockets where larger cloud droplets are formed and not at some constant level within the cloud. Our results highlight that the K–H instability is favorable for liquid droplet growth and secondary ice formation.
Bjorn Stevens, Sandrine Bony, David Farrell, Felix Ament, Alan Blyth, Christopher Fairall, Johannes Karstensen, Patricia K. Quinn, Sabrina Speich, Claudia Acquistapace, Franziska Aemisegger, Anna Lea Albright, Hugo Bellenger, Eberhard Bodenschatz, Kathy-Ann Caesar, Rebecca Chewitt-Lucas, Gijs de Boer, Julien Delanoë, Leif Denby, Florian Ewald, Benjamin Fildier, Marvin Forde, Geet George, Silke Gross, Martin Hagen, Andrea Hausold, Karen J. Heywood, Lutz Hirsch, Marek Jacob, Friedhelm Jansen, Stefan Kinne, Daniel Klocke, Tobias Kölling, Heike Konow, Marie Lothon, Wiebke Mohr, Ann Kristin Naumann, Louise Nuijens, Léa Olivier, Robert Pincus, Mira Pöhlker, Gilles Reverdin, Gregory Roberts, Sabrina Schnitt, Hauke Schulz, A. Pier Siebesma, Claudia Christine Stephan, Peter Sullivan, Ludovic Touzé-Peiffer, Jessica Vial, Raphaela Vogel, Paquita Zuidema, Nicola Alexander, Lyndon Alves, Sophian Arixi, Hamish Asmath, Gholamhossein Bagheri, Katharina Baier, Adriana Bailey, Dariusz Baranowski, Alexandre Baron, Sébastien Barrau, Paul A. Barrett, Frédéric Batier, Andreas Behrendt, Arne Bendinger, Florent Beucher, Sebastien Bigorre, Edmund Blades, Peter Blossey, Olivier Bock, Steven Böing, Pierre Bosser, Denis Bourras, Pascale Bouruet-Aubertot, Keith Bower, Pierre Branellec, Hubert Branger, Michal Brennek, Alan Brewer, Pierre-Etienne Brilouet, Björn Brügmann, Stefan A. Buehler, Elmo Burke, Ralph Burton, Radiance Calmer, Jean-Christophe Canonici, Xavier Carton, Gregory Cato Jr., Jude Andre Charles, Patrick Chazette, Yanxu Chen, Michal T. Chilinski, Thomas Choularton, Patrick Chuang, Shamal Clarke, Hugh Coe, Céline Cornet, Pierre Coutris, Fleur Couvreux, Susanne Crewell, Timothy Cronin, Zhiqiang Cui, Yannis Cuypers, Alton Daley, Gillian M. Damerell, Thibaut Dauhut, Hartwig Deneke, Jean-Philippe Desbios, Steffen Dörner, Sebastian Donner, Vincent Douet, Kyla Drushka, Marina Dütsch, André Ehrlich, Kerry Emanuel, Alexandros Emmanouilidis, Jean-Claude Etienne, Sheryl Etienne-Leblanc, Ghislain Faure, Graham Feingold, Luca Ferrero, Andreas Fix, Cyrille Flamant, Piotr Jacek Flatau, Gregory R. Foltz, Linda Forster, Iulian Furtuna, Alan Gadian, Joseph Galewsky, Martin Gallagher, Peter Gallimore, Cassandra Gaston, Chelle Gentemann, Nicolas Geyskens, Andreas Giez, John Gollop, Isabelle Gouirand, Christophe Gourbeyre, Dörte de Graaf, Geiske E. de Groot, Robert Grosz, Johannes Güttler, Manuel Gutleben, Kashawn Hall, George Harris, Kevin C. Helfer, Dean Henze, Calvert Herbert, Bruna Holanda, Antonio Ibanez-Landeta, Janet Intrieri, Suneil Iyer, Fabrice Julien, Heike Kalesse, Jan Kazil, Alexander Kellman, Abiel T. Kidane, Ulrike Kirchner, Marcus Klingebiel, Mareike Körner, Leslie Ann Kremper, Jan Kretzschmar, Ovid Krüger, Wojciech Kumala, Armin Kurz, Pierre L'Hégaret, Matthieu Labaste, Tom Lachlan-Cope, Arlene Laing, Peter Landschützer, Theresa Lang, Diego Lange, Ingo Lange, Clément Laplace, Gauke Lavik, Rémi Laxenaire, Caroline Le Bihan, Mason Leandro, Nathalie Lefevre, Marius Lena, Donald Lenschow, Qiang Li, Gary Lloyd, Sebastian Los, Niccolò Losi, Oscar Lovell, Christopher Luneau, Przemyslaw Makuch, Szymon Malinowski, Gaston Manta, Eleni Marinou, Nicholas Marsden, Sebastien Masson, Nicolas Maury, Bernhard Mayer, Margarette Mayers-Als, Christophe Mazel, Wayne McGeary, James C. McWilliams, Mario Mech, Melina Mehlmann, Agostino Niyonkuru Meroni, Theresa Mieslinger, Andreas Minikin, Peter Minnett, Gregor Möller, Yanmichel Morfa Avalos, Caroline Muller, Ionela Musat, Anna Napoli, Almuth Neuberger, Christophe Noisel, David Noone, Freja Nordsiek, Jakub L. Nowak, Lothar Oswald, Douglas J. Parker, Carolyn Peck, Renaud Person, Miriam Philippi, Albert Plueddemann, Christopher Pöhlker, Veronika Pörtge, Ulrich Pöschl, Lawrence Pologne, Michał Posyniak, Marc Prange, Estefanía Quiñones Meléndez, Jule Radtke, Karim Ramage, Jens Reimann, Lionel Renault, Klaus Reus, Ashford Reyes, Joachim Ribbe, Maximilian Ringel, Markus Ritschel, Cesar B. Rocha, Nicolas Rochetin, Johannes Röttenbacher, Callum Rollo, Haley Royer, Pauline Sadoulet, Leo Saffin, Sanola Sandiford, Irina Sandu, Michael Schäfer, Vera Schemann, Imke Schirmacher, Oliver Schlenczek, Jerome Schmidt, Marcel Schröder, Alfons Schwarzenboeck, Andrea Sealy, Christoph J. Senff, Ilya Serikov, Samkeyat Shohan, Elizabeth Siddle, Alexander Smirnov, Florian Späth, Branden Spooner, M. Katharina Stolla, Wojciech Szkółka, Simon P. de Szoeke, Stéphane Tarot, Eleni Tetoni, Elizabeth Thompson, Jim Thomson, Lorenzo Tomassini, Julien Totems, Alma Anna Ubele, Leonie Villiger, Jan von Arx, Thomas Wagner, Andi Walther, Ben Webber, Manfred Wendisch, Shanice Whitehall, Anton Wiltshire, Allison A. Wing, Martin Wirth, Jonathan Wiskandt, Kevin Wolf, Ludwig Worbes, Ethan Wright, Volker Wulfmeyer, Shanea Young, Chidong Zhang, Dongxiao Zhang, Florian Ziemen, Tobias Zinner, and Martin Zöger
Earth Syst. Sci. Data, 13, 4067–4119, https://doi.org/10.5194/essd-13-4067-2021, https://doi.org/10.5194/essd-13-4067-2021, 2021
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The EUREC4A field campaign, designed to test hypothesized mechanisms by which clouds respond to warming and benchmark next-generation Earth-system models, is presented. EUREC4A comprised roughly 5 weeks of measurements in the downstream winter trades of the North Atlantic – eastward and southeastward of Barbados. It was the first campaign that attempted to characterize the full range of processes and scales influencing trade wind clouds.
Craig Poku, Andrew N. Ross, Adrian A. Hill, Alan M. Blyth, and Ben Shipway
Atmos. Chem. Phys., 21, 7271–7292, https://doi.org/10.5194/acp-21-7271-2021, https://doi.org/10.5194/acp-21-7271-2021, 2021
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We present a new aerosol activation scheme suitable for modelling both fog and convective clouds. Most current activation schemes are designed for convective clouds, and we demonstrate that using them to model fog can negatively impact its life cycle. Our scheme has been used to model an observed fog case in the UK, where we demonstrate that a more physically based representation of aerosol activation is required to capture the transition to a deeper layer – more in line with observations.
Yongjie Huang, Wei Wu, Greg M. McFarquhar, Xuguang Wang, Hugh Morrison, Alexander Ryzhkov, Yachao Hu, Mengistu Wolde, Cuong Nguyen, Alfons Schwarzenboeck, Jason Milbrandt, Alexei V. Korolev, and Ivan Heckman
Atmos. Chem. Phys., 21, 6919–6944, https://doi.org/10.5194/acp-21-6919-2021, https://doi.org/10.5194/acp-21-6919-2021, 2021
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Numerous small ice crystals in the tropical convective storms are difficult to detect and could be potentially hazardous for commercial aircraft. This study evaluated the numerical models against the airborne observations and investigated the potential cloud processes that could lead to the production of these large numbers of small ice crystals. It is found that key microphysical processes are still lacking or misrepresented in current numerical models to realistically simulate the phenomenon.
Cited articles
Bigg, E. K.: A new technique for counting ice-forming nuclei in aerosols,
Tellus, 9, 394–400, https://doi.org/10.1111/j.2153-3490.1957.tb01895.x, 1957.
Baumgardner, D. and Korolev, A.: Airspeed Corrections for Optical Array Probe
Sample Volumes, J. Atmos. Ocean. Tech., 14, 1224–1229,
https://doi.org/10.1175/1520-0426(1997)014<1224:ACFOAP>2.0.CO;2, 1997.
Bennett, L.: MICROSCOPE: NCAS mobile X-band radar scan data from Davidstow
Airfield, NCAS British Atmospheric Data Centre,
https://doi.org/10.5072/4bb383b7d6ca421bbedd57b8097d5664, 2017.
Blyth, A. M. and Latham, J.: Development of ice and precipitation in New
Mexican summertime cumulus clouds, Q. J. Roy. Meteor. Soc., 119, 91–120,
https://doi.org/10.1002/qj.49711950905, 1993.
Chisnell, R. F. and Latham, J.: Ice particle multiplication in cumulus
clouds, Q. J. Roy. Meteor. Soc., 102, 133–156, https://doi.org/10.1002/qj.49710243111,
1976.
Cotton, W. R., Tripoli, G. J., Rauber, R. M., and Mulvihill, E. A.: Numerical
Simulation of the Effects of Varying Ice Crystal Nucleation Rates and
Aggregation Processes on Orographic Snowfall, J. Clim. Appl. Meteorol., 25,
1658–1680, https://doi.org/10.1175/1520-0450(1986)025<1658:NSOTEO>2.0.CO;2, 1986.
Crosier, J., Bower, K. N., Choularton, T. W., Westbrook, C. D., Connolly, P.
J., Cui, Z. Q., Crawford, I. P., Capes, G. L., Coe, H., Dorsey, J. R.,
Williams, P. I., Illingworth, A. J., Gallagher, M. W., and Blyth, A. M.:
Observations of ice multiplication in a weakly convective cell embedded in
supercooled mid-level stratus, Atmos. Chem. Phys., 11, 257–273,
https://doi.org/10.5194/acp-11-257-2011, 2011.
Faber, S., French, J. R., and Jackson, R.: Laboratory and in-flight
evaluation of measurement uncertainties from a commercial Cloud Droplet Probe
(CDP), Atmos. Meas. Tech., 11, 3645–3659,
https://doi.org/10.5194/amt-11-3645-2018, 2018.
Field, P. R., Heymsfield, A. J., and Bansemer, A.: Shattering and Particle
Interarrival Times Measured by Optical Array Probes in Ice Clouds, J. Atmos.
Ocean. Tech., 23, 1357–1371, https://doi.org/10.1175/JTECH1922.1, 2006.
Field, P. R., Lawson, R. P., Brown, P. R., Lloyd, G., Westbrook, C.,
Moisseev, D., Miltenberger, A., Nenes, A., Blyth, A., Choularton, T.,
Connolly, P., Buehl, J., Crosier, J., Cui, Z., Dearden, C., DeMott, P.,
Flossmann, A., Heymsfield, A., Huang, Y., Kalesse, H., Kanji, Z.A., Korolev,
A., Kirchgaessner, A., Lasher-Trapp, S., Leisner, T., McFarquhar, G.,
Phillips, V., Stith, J., and Sullivan, S.: Secondary Ice Production: Current
State of the Science and Recommendations for the Future, Meteor. Mon., 58,
7.1–7.20, https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0014.1, 2017.
Gerber, H., Arends, B. G., and Ackerman, A. S.: New microphysics sensor for aircraft use, Atmos. Res., 31, 235–252, https://doi.org/10.1016/0169-8095(94)90001-9,
1993.
Golding, B., Clark, P., and May, B.: The Boscastle flood: Meteorological
analysis of the conditions leading to flooding on 16 August 2004, Weather,
60, 230–235, https://doi.org/10.1256/wea.71.05, 2005.
Haimov, S. and Rodi, A.: Fixed-Antenna Pointing-Angle Calibration of Airborne
Doppler Cloud Radar, J. Atmos. Ocean. Tech., 30, 2320–2335,
https://doi.org/10.1175/JTECH-D-12-00262.1, 2013.
Harris-Hobbs, R. L. and Cooper, W. A.: Field Evidence Supporting Quantitative
Predictions of Secondary Ice Production Rates, J. Atmos. Sci., 44,
1071–1082, https://doi.org/10.1175/1520-0469(1987)044<1071:FESQPO>2.0.CO;2, 1987.
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.
Helmus, J. J. and Collis, S. M.: The Python ARM Radar Toolkit (Py-ART), a
Library for Working with Weather Radar Data in the Python Programming
Language, Journal of Open Research Software, 4, e25, https://doi.org/10.5334/jors.119,
2016.
Heymsfield, A. and Willis, P.: Cloud Conditions Favoring Secondary Ice
Particle Production in Tropical Maritime Convection, J. Atmos. Sci., 71, 4500–4526,
https://doi.org/10.1175/JAS-D-14-0093.1, 2014.
Hobbs, P. V. and Rangno, A. L.: Rapid Development of High Ice Particle
Concentrations in Small Polar Maritime Cumuliform Clouds, J. Atmos. Sci., 47,
2710–2722, https://doi.org/10.1175/1520-0469(1990)047<2710:RDOHIP>2.0.CO;2, 1990.
Holroyd, E. W.: Some Techniques and Uses of 2D-C Habit Classification
Software for Snow Particles, J. Atmos. Ocean. Tech., 4, 498–511,
https://doi.org/10.1175/1520-0426(1987)004<0498:STAUOC>2.0.CO;2, 1987.
Huang, Y., Blyth, A. M., Brown, P. R. A., Choularton, T. W., Connolly, P.,
Gadian, A. M., Jones, H., Latham, J., Cui, Z., and Carslaw, K.: The
development of ice in a cumulus cloud over southwest England, New J. Phys.,
10, 105021, https://doi.org/10.1088/1367-2630/10/10/105021, 2008.
Huang, Y., Blyth, A. M., Brown, P. R. A., Choularton, T. W., and Cui, Z.:
Factors controlling secondary ice production in cumulus clouds, Q. J. Roy.
Meteor. Soc., 143, 1021–1031, https://doi.org/10.1002/qj.2987, 2017.
Jackson, R. C., McFarquhar, G. M., Stith, J., Beals, M., Shaw, R. A., Jensen,
J., Fugal, J., and Korolev, A.: An Assessment of the Impact of Antishattering
Tips and Artifact Removal Techniques on Cloud Ice Size Distributions Measured
by the 2D Cloud Probe. J. Atmos. Ocean. Tech., 31, 2567–2590,
https://doi.org/10.1175/JTECH-D-13-00239.1, 2014.
Koenig, L. R.: The Glaciating Behavior of Small Cumulonimbus Clouds, J.
Atmos. Sci., 20, 29–47,
https://doi.org/10.1175/1520-0469(1963)020<0029:TGBOSC>2.0.CO;2, 1963.
Korolev, A. V., Strapp, J. W., Isaac, G. A., and Nevzorov, A. N.: The
Nevzorov Airborne Hot-Wire LWC–TWC Probe: Principle of Operation and
Performance Characteristics, J. Atmos. Ocean. Tech., 15, 1495–1510,
https://doi.org/10.1175/1520-0426(1998)015<1495:TNAHWL>2.0.CO;2, 1998.
Korolev, A. V., Emery, E. F., Strapp, J. W., Cober, S. G., Isaac, G. A.,
Wasey, W., and Marcotte, D.: Small Ice Particles in Tropospheric Clouds: Fact
or Artifact? Airborne Icing Instrumentation Evaluation Experiment, B. Am.
Meteorol. Soc., 92, 967–973, https://doi.org/10.1175/2010BAMS3141.1, 2011.
Korolev, A. V., Emery, E. F., Strapp, J. W., Cober, S. G., and Isaac, G. A.:
Quantification of the Effects of Shattering on Airborne Ice Particle
Measurements, J. Atmos. Ocean. Tech., 30, 2527–2553,
https://doi.org/10.1175/JTECH-D-13-00115.1, 2013.
Lance, S., Brock, C. A., Rogers, D., and Gordon, J. A.: Water droplet
calibration of the Cloud Droplet Probe (CDP) and in-flight performance in
liquid, ice and mixed-phase clouds during ARCPAC, Atmos. Meas. Tech., 3,
1683–1706, https://doi.org/10.5194/amt-3-1683-2010, 2010.
Lasher-Trapp, S., Leon, D. C., DeMott, P. J., Villanueva-Birriel, C. M., Johnson, A. V., Moser, D. H., Tully, C. S., and Wu, W.: A Multisensor
Investigation of Rime Splintering in Tropical Maritime Cumuli, J. Atmos. Sci., 73, 2547–2564, https://doi.org/10.1175/JAS-D-15-0285.1,
2016.
Lasher-Trapp, S., Kumar, S., Moser, D. H., Blyth, A. M., French, J. R., Jackson, R. C., Leon, D. C., and Plummer, D. M.: On Different Microphysical
Pathways to Convective Rainfall, J. Appl. Meteor. Climatol., 57, 2399–2417, https://doi.org/10.1175/JAMC-D-18-0041.1,
2018.
Lawson, R. P., Woods, S., and Morrison, H.: The Microphysics of Ice and
Precipitation Development in Tropical Cumulus Clouds, J. Atmos. Sci., 72,
2429–2445, https://doi.org/10.1175/JAS-D-14-0274.1, 2014.
Lawson, P., Gurganus, C., Woods, S., and Bruintjes, R.: Aircraft Observations
of Cumulus Microphysics Ranging from the Tropics to Midlatitudes:
Implications for a “New” Secondary Ice Process, J. Atmos. Sci., 74,
2899–2920, https://doi.org/10.1175/JAS-D-17-0033.1, 2017.
Leisner, T., Pander, T., Handmann, P., and Kiselev, A.: Secondary ice
processes upon heterogeneous freezing of cloud droplets, 14th Conference on
Cloud Physics, Boston, MA, available at:
https://ams.confex.com/ams/14CLOUD14ATRAD/webprogram/Paper250221.html
(last access: 15 March 2017), 2014.
Leon, D. C., French, J. R., Lasher-Trapp, S., Blyth, A. M., Abel,S. J., Ballard, S., Barrett, A., Bennett, L. J.,
Bower, K., Brooks, B., Brown, P.,
Charlton-Perez, C., Choularton, T., Clark, P., Collier, C., Crosier, J., Cui, Z., Dey, S., Dufton, D., Eagle, C.,
Flynn, M. J., Gallagher, M., Halliwell, C.,
Hanley, K., Hawkness-Smith, L., Huang, Y., Kelly, G., Kitchen, M., Korolev, A., Lean, H.,
Liu, Z., Marsham, J., Moser, D., Nicol, J., Norton, E. G., Plummer, D.,
Price, J., Ricketts, H., Roberts, N., Rosenberg, P. D., Simonin, D., Taylor, J. W.,
Warren, R., Williams, P. I., and Young, G.: The
COnvective Precipitation Experiment (COPE): Investigating the origins of
heavy precipitation in the southwestern UK, Bull. Am. Meteorol. Soc.,
https://doi.org/10.1175/BAMS-D-14-00157.1, 2016a.
Leon, D. C., French, J. R., Lasher-Trapp, S., Blyth, A. M., Abel,S. J., Ballard, S., Barrett, A., Bennett, L. J.,
Bower, K., Brooks, B., Brown, P.,
Charlton-Perez, C., Choularton, T., Clark, P., Collier, C., Crosier, J., Cui, Z., Dey, S., Dufton, D., Eagle, C.,
Flynn, M. J., Gallagher, M., Halliwell, C.,
Hanley, K., Hawkness-Smith, L., Huang, Y., Kelly, G., Kitchen, M., Korolev, A., Lean, H.,
Liu, Z., Marsham, J., Moser, D., Nicol, J., Norton, E. G., Plummer, D.,
Price, J., Ricketts, H., Roberts, N., Rosenberg, P. D., Simonin, D., Taylor, J. W.,
Warren, R., Williams, P. I., and Young, G.: Online
Supplement to The COnvective Precipitation Experiment (COPE): Investigating
the origins of heavy precipitation in the southwestern UK, B. Am. Meteorol.
Soc., 2016, ES115–ES123, https://doi.org/10.1175/BAMS-D-14-00157.2, 2016b.
Lhermitte, R.: Attenuation and Scattering of Millimeter Wavelength Radiation
by Clouds and Precipitation, J. Atmos. Ocean. Tech., 7, 464–479,
https://doi.org/10.1175/1520-0426(1990)007<0464:AASOMW>2.0.CO;2, 1990.
Mason, B. J. and Maybank, J.: The fragmentation and electrification of
freezing water drops, Q. J. Roy. Meteor. Soc., 86, 176–185,
https://doi.org/10.1002/qj.49708636806, 1960.
Miltenberger, A. K., Field, P. R., Hill, A. A., Rosenberg, P., Shipway, B.
J., Wilkinson, J. M., Scovell, R., and Blyth, A. M.: Aerosol–cloud
interactions in mixed-phase convective clouds – Part 1: Aerosol
perturbations, Atmos. Chem. Phys., 18, 3119–3145,
https://doi.org/10.5194/acp-18-3119-2018, 2018.
Mossop, S. C.: Some Factors Governing Ice Particle Multiplication in Cumulus
Clouds, J. Atmos. Sci., 35, 2033–2037,
https://doi.org/10.1175/1520-0469(1978)035<2033:SFGIPM>2.0.CO;2, 1978.
Moser, D. H. and Lasher-Trapp, S.: The Influence of Successive Thermals on
Entrainment and Dilution in a Simulated Cumulus Congestus, J. Atmos. Sci.,
74, 375–392, https://doi.org/10.1175/JAS-D-16-0144.1, 2017.
Plummer, D. M., McFarquhar, G. M., Rauber, R. M., Jewett, B. F., and Leon, D.
C: Microphysical Properties of Convectively Generated Fall Streaks within the
Stratiform Comma Head Region of Continental Winter Cyclones, J. Atmos. Sci.,
72, 2465–2483, https://doi.org/10.1175/JAS-D-14-0354.1, 2015.
Plummer, D. M., French, J. R., Leon, D. C., Blyth, A. M., Lasher-Trapp, S.,
Bennett, L. J., Dufton, D. R. L., Jackson, R. C., and Neely, R. R.:
Radar-derived structural and precipitation characteristics of ZDR columns within warm-season convection over the United Kingdom,
J. Appl. Meteor. Climatol., in press, https://doi.org/10.1175/JAMC-D-17-0134.1, 2018.
Pruppacher, H. R. and Schlamp, R. J.: A wind tunnel investigation on ice
multiplication by freezing of water drops at terminal velocity in air, J.
Geophys. Res., 80, 380–386, 1975.
Pujol, O., J. Georgis, L. Féral, and H. Sauvageot: Degradation of Radar
Reflectivity by Cloud Attenuation at Microwave Frequency. J. Atmos. Ocean.
Tech., 24, 640–657, https://doi.org/10.1175/JTECH1992.1, 2007.
Rosenow, A. A., Plummer, D. M., Rauber, R. M., McFarquhar, G. M., Jewett, B.
F., and Leon, D.: Vertical Velocity and Physical Structure of Generating
Cells and Convection in the Comma Head Region of Continental Winter Cyclones,
J. Atmos. Sci., 71, 1538–1558, https://doi.org/10.1175/JAS-D-13-0249.1, 2014.
Sulskis, J. and French, J. R.: A Comparison and survey of the measured cloud
liquid water content and an analysis of the bimodal droplet spectra observed
during COPE-MED, MSc Thesis, University of Wyoming, 2016.
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.
Taylor, J. W., Choularton, T. W., Blyth, A. M., Flynn, M. J., Williams, P.
I., Young, G., Bower, K. N., Crosier, J., Gallagher, M. W., Dorsey, J. R.,
Liu, Z., and Rosenberg, P. D.: Aerosol measurements during COPE: composition,
size, and sources of CCN and INPs at the interface between marine and
terrestrial influences, Atmos. Chem. Phys., 16, 11687–11709,
https://doi.org/10.5194/acp-16-11687-2016, 2016a.
Taylor, J. W., Choularton, T. W., Blyth, A. M., Liu, Z., Bower, K. N.,
Crosier, J., Gallagher, M. W., Williams, P. I., Dorsey, J. R., Flynn, M. J.,
Bennett, L. J., Huang, Y., French, J., Korolev, A., and Brown, P. R. A.:
Observations of cloud microphysics and ice formation during COPE, Atmos.
Chem. Phys., 16, 799–826, https://doi.org/10.5194/acp-16-799-2016, 2016b.
University of Wyoming Research Flight Center: Flight Level Data from the
University of Wyoming King Air during the Convective Precipitation
Experiment- Microphysics and Entrainment Dependencies (COPE-MED), Version
1.0, https://doi.org/10.15786/M2MW2S, 2016a.
University of Wyoming Research Flight Center: Wyoming Cloud Radar data from
the University of Wyoming King Air during the Convective Precipitation
Experiment- Microphysics and Entrainment Dependencies (COPE-MED), Version
1.0, https://doi.org/10.15786/M2H598, 2016b.
Wang, Z., French, J., Vali, G., Wechsler, P., Haimov, S., Rodi, A., Deng, M., Leon, D., Snider, J., Peng, L., and Pazmany, A. L.: Single Aircraft
Integration of Remote Sensing and In Situ Sampling for the Study of Cloud Microphysics and Dynamics, B. Am. Meteorol. Soc.,
93, 653–668, https://doi.org/10.1175/BAMS-D-11-00044.1, 2012.
Wildeman, S., Sterl, S., Sun, C., and Lohse, D.: Fast dynamics of water
droplets freezing from the outside in, Phys. Rev. Lett., 118, 084101,
https://doi.org/10.1103/PhysRevLett.118.084101, 2017.
Yang, J., Wang, Z., Heymsfield, A. J., and French, J. R.: Characteristics of
vertical air motion in isolated convective clouds, Atmos. Chem. Phys., 16,
10159–10173, https://doi.org/10.5194/acp-16-10159-2016, 2016.
Short summary
This paper looks at microphysical observations of growing cumulus clouds in the southwest United Kingdom sampled during the COnvective Precipitation Experiment (COPE). Our results suggest that secondary ice production processes are contributing to the observed concentrations and that entrainment of particles from remnant cloud layers may have acted to aid in secondary ice production.
This paper looks at microphysical observations of growing cumulus clouds in the southwest United...
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