Articles | Volume 22, issue 18
https://doi.org/10.5194/acp-22-12287-2022
© 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-22-12287-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Sep 2022
Research article |
| 20 Sep 2022
| 20 Sep 2022
The impacts of secondary ice production on microphysics and dynamics in tropical convection
Meteorological Research Division, Environment and Climate Change
Canada, Toronto, Ontario, Canada
Alexei Korolev
Meteorological Research Division, Environment and Climate Change
Canada, Toronto, Ontario, Canada
Jason A. Milbrandt
Meteorological Research Division, Environment and Climate Change
Canada, Toronto, Ontario, Canada
Ivan Heckman
Meteorological Research Division, Environment and Climate Change
Canada, Toronto, Ontario, Canada
Yongjie Huang
Center for Analysis and Prediction of Storms, University of Oklahoma, Norman, OK, USA
Greg M. McFarquhar
Cooperative Institute for Severe and High-Impact Weather Research and Operations, University of Oklahoma, Norman, OK, USA
School of Meteorology, University of Oklahoma, Norman, OK, USA
Hugh Morrison
Mesoscale and Microscale Meteorology Laboratory, National Center for
Atmospheric Research, Boulder, CO, USA
Mengistu Wolde
National Research Council Canada, Ottawa, Canada
Cuong Nguyen
National Research Council Canada, Ottawa, Canada
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Adam C. Varble, Adele L. Igel, Hugh Morrison, Wojciech W. Grabowski, and Zachary J. Lebo
Atmos. Chem. Phys., 23, 13791–13808, https://doi.org/10.5194/acp-23-13791-2023, https://doi.org/10.5194/acp-23-13791-2023, 2023
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As atmospheric particles called aerosols increase in number, the number of droplets in clouds tends to increase, which has been theorized to increase storm intensity. We critically evaluate the evidence for this theory, showing that flaws and limitations of previous studies coupled with unaddressed cloud process complexities draw it into question. We provide recommendations for future observations and modeling to overcome current uncertainties.
Zhipeng Qu, David P. Donovan, Howard W. Barker, Jason N. S. Cole, Mark W. Shephard, and Vincent Huijnen
Atmos. Meas. Tech., 16, 4927–4946, https://doi.org/10.5194/amt-16-4927-2023, https://doi.org/10.5194/amt-16-4927-2023, 2023
Short summary
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The EarthCARE satellite mission Level 2 algorithm development requires realistic 3D cloud and aerosol scenes along the satellite orbits. One of the best ways to produce these scenes is to use a high-resolution numerical weather prediction model to simulate atmospheric conditions at 250 m horizontal resolution. This paper describes the production and validation of three EarthCARE test scenes.
Jason N. S. Cole, Howard W. Barker, Zhipeng Qu, Najda Villefranque, and Mark W. Shephard
Atmos. Meas. Tech., 16, 4271–4288, https://doi.org/10.5194/amt-16-4271-2023, https://doi.org/10.5194/amt-16-4271-2023, 2023
Short summary
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Measurements from the EarthCARE satellite mission will be used to retrieve profiles of cloud and aerosol properties. These retrievals are combined with auxiliary information about surface properties and atmospheric state, e.g., temperature and water vapor. This information allows computation of 1D and 3D solar and thermal radiative transfer for small domains, which are compared with coincident radiometer observations to continually assess EarthCARE retrievals.
Rose Marie Miller, Robert M. Rauber, Larry Di Girolamo, Matthew Rilloraza, Dongwei Fu, Greg M. McFarquhar, Stephen W. Nesbitt, Luke D. Ziemba, Sarah Woods, and Kenneth Lee Thornhill
Atmos. Chem. Phys., 23, 8959–8977, https://doi.org/10.5194/acp-23-8959-2023, https://doi.org/10.5194/acp-23-8959-2023, 2023
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Zhipeng Qu, Howard W. Barker, Jason N. S. Cole, and Mark W. Shephard
Atmos. Meas. Tech., 16, 2319–2331, https://doi.org/10.5194/amt-16-2319-2023, https://doi.org/10.5194/amt-16-2319-2023, 2023
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Ruhi S. Humphries, Melita D. Keywood, Jason P. Ward, James Harnwell, Simon P. Alexander, Andrew R. Klekociuk, Keiichiro Hara, Ian M. McRobert, Alain Protat, Joel Alroe, Luke T. Cravigan, Branka Miljevic, Zoran D. Ristovski, Robyn Schofield, Stephen R. Wilson, Connor J. Flynn, Gourihar R. Kulkarni, Gerald G. Mace, Greg M. McFarquhar, Scott D. Chambers, Alastair G. Williams, and Alan D. Griffiths
Atmos. Chem. Phys., 23, 3749–3777, https://doi.org/10.5194/acp-23-3749-2023, https://doi.org/10.5194/acp-23-3749-2023, 2023
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Andrew Gettelman, Hugh Morrison, Trude Eidhammer, Katherine Thayer-Calder, Jian Sun, Richard Forbes, Zachary McGraw, Jiang Zhu, Trude Storelvmo, and John Dennis
Geosci. Model Dev., 16, 1735–1754, https://doi.org/10.5194/gmd-16-1735-2023, https://doi.org/10.5194/gmd-16-1735-2023, 2023
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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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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
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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.
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.
Siddhant Gupta, Greg M. McFarquhar, Joseph R. O'Brien, Michael R. Poellot, David J. Delene, Ian Chang, Lan Gao, Feng Xu, and Jens Redemann
Atmos. Chem. Phys., 22, 12923–12943, https://doi.org/10.5194/acp-22-12923-2022, https://doi.org/10.5194/acp-22-12923-2022, 2022
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The ability of NASA’s Terra and Aqua satellites to retrieve cloud properties and estimate the changes in cloud properties due to aerosol–cloud interactions (ACI) was examined. There was good agreement between satellite retrievals and in situ measurements over the southeast Atlantic Ocean. This suggests that, combined with information on aerosol properties, satellite retrievals of cloud properties can be used to study ACI over larger domains and longer timescales in the absence of in situ data.
Katherine L. Hayden, Shao-Meng Li, John Liggio, Michael J. Wheeler, Jeremy J. B. Wentzell, Amy Leithead, Peter Brickell, Richard L. Mittermeier, Zachary Oldham, Cristian M. Mihele, Ralf M. Staebler, Samar G. Moussa, Andrea Darlington, Mengistu Wolde, Daniel Thompson, Jack Chen, Debora Griffin, Ellen Eckert, Jenna C. Ditto, Megan He, and Drew R. Gentner
Atmos. Chem. Phys., 22, 12493–12523, https://doi.org/10.5194/acp-22-12493-2022, https://doi.org/10.5194/acp-22-12493-2022, 2022
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In this study, airborne measurements provided the most detailed characterization, to date, of boreal forest wildfire emissions. Measurements showed a large diversity of air pollutants expanding the volatility range typically reported. A large portion of organic species was unidentified, likely comprised of complex organic compounds. Aircraft-derived emissions improve wildfire chemical speciation and can support reliable model predictions of pollution from boreal forest wildfires.
Dongwei Fu, Larry Di Girolamo, Robert M. Rauber, Greg M. McFarquhar, Stephen W. Nesbitt, Jesse Loveridge, Yulan Hong, Bastiaan van Diedenhoven, Brian Cairns, Mikhail D. Alexandrov, Paul Lawson, Sarah Woods, Simone Tanelli, Sebastian Schmidt, Chris Hostetler, and Amy Jo Scarino
Atmos. Chem. Phys., 22, 8259–8285, https://doi.org/10.5194/acp-22-8259-2022, https://doi.org/10.5194/acp-22-8259-2022, 2022
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Satellite-retrieved cloud microphysics are widely used in climate research because of their central role in water and energy cycles. Here, we provide the first detailed investigation of retrieved cloud drop sizes from in situ and various satellite and airborne remote sensing techniques applied to real cumulus cloud fields. We conclude that the most widely used passive remote sensing method employed in climate research produces high biases of 6–8 µm (60 %–80 %) caused by 3-D radiative effects.
Po-Lun Ma, Bryce E. Harrop, Vincent E. Larson, Richard B. Neale, Andrew Gettelman, Hugh Morrison, Hailong Wang, Kai Zhang, Stephen A. Klein, Mark D. Zelinka, Yuying Zhang, Yun Qian, Jin-Ho Yoon, Christopher R. Jones, Meng Huang, Sheng-Lun Tai, Balwinder Singh, Peter A. Bogenschutz, Xue Zheng, Wuyin Lin, Johannes Quaas, Hélène Chepfer, Michael A. Brunke, Xubin Zeng, Johannes Mülmenstädt, Samson Hagos, Zhibo Zhang, Hua Song, Xiaohong Liu, Michael S. Pritchard, Hui Wan, Jingyu Wang, Qi Tang, Peter M. Caldwell, Jiwen Fan, Larry K. Berg, Jerome D. Fast, Mark A. Taylor, Jean-Christophe Golaz, Shaocheng Xie, Philip J. Rasch, and L. Ruby Leung
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An alternative set of parameters for E3SM Atmospheric Model version 1 has been developed based on a tuning strategy that focuses on clouds. When clouds in every regime are improved, other aspects of the model are also improved, even though they are not the direct targets for calibration. The recalibrated model shows a lower sensitivity to anthropogenic aerosols and surface warming, suggesting potential improvements to the simulated climate in the past and future.
Siddhant Gupta, Greg M. McFarquhar, Joseph R. O'Brien, Michael R. Poellot, David J. Delene, Rose M. Miller, and Jennifer D. Small Griswold
Atmos. Chem. Phys., 22, 2769–2793, https://doi.org/10.5194/acp-22-2769-2022, https://doi.org/10.5194/acp-22-2769-2022, 2022
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This study evaluates the impact of biomass burning aerosols on precipitation in marine stratocumulus clouds using observations from the NASA ObseRvations of Aerosols above CLouds and their intEractionS (ORACLES) field campaign over the Southeast Atlantic. Instances of contact and separation between aerosol and cloud layers show polluted clouds have a lower precipitation rate and a lower precipitation susceptibility. This information will help improve cloud representation in Earth system 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.
Cuong M. Nguyen, Mengistu Wolde, Alessandro Battaglia, Leonid Nichman, Natalia Bliankinshtein, Samuel Haimov, Kenny Bala, and Dirk Schuettemeyer
Atmos. Meas. Tech., 15, 775–795, https://doi.org/10.5194/amt-15-775-2022, https://doi.org/10.5194/amt-15-775-2022, 2022
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An analysis of airborne triple-frequency radar and almost perfectly co-located coincident in situ data from an Arctic storm confirms the main findings of modeling work with radar dual-frequency ratios (DFRs) at different zones of the DFR plane associated with different ice habits. High-resolution CPI images provide accurate identification of rimed particles within the DFR plane. The relationships between the triple-frequency signals and cloud microphysical properties are also presented.
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.
Kamil Mroz, Alessandro Battaglia, Cuong Nguyen, Andrew Heymsfield, Alain Protat, and Mengistu Wolde
Atmos. Meas. Tech., 14, 7243–7254, https://doi.org/10.5194/amt-14-7243-2021, https://doi.org/10.5194/amt-14-7243-2021, 2021
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A method for estimating microphysical properties of ice clouds based on radar measurements is presented. The algorithm exploits the information provided by differences in the radar response at different frequency bands in relation to changes in the snow morphology. The inversion scheme is based on a statistical relation between the radar simulations and the properties of snow calculated from in-cloud sampling.
Rose M. Miller, Greg M. McFarquhar, Robert M. Rauber, Joseph R. O'Brien, Siddhant Gupta, Michal Segal-Rozenhaimer, Amie N. Dobracki, Arthur J. Sedlacek, Sharon P. Burton, Steven G. Howell, Steffen Freitag, and Caroline Dang
Atmos. Chem. Phys., 21, 14815–14831, https://doi.org/10.5194/acp-21-14815-2021, https://doi.org/10.5194/acp-21-14815-2021, 2021
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A large stratocumulus cloud deck resides off the west coast of central Africa. Biomass burning in Africa produces a large plume of aerosol that is carried by the wind over this stratocumulus cloud deck. This paper shows that particles with sizes from 0.01 to 1 mm reside within this plume. Past studies have shown that biomass burning produces such particles, but this is the first study to show that they can be transported westward, over long distances, to the Atlantic stratocumulus cloud deck.
Wojciech W. Grabowski and Hugh Morrison
Atmos. Chem. Phys., 21, 13997–14018, https://doi.org/10.5194/acp-21-13997-2021, https://doi.org/10.5194/acp-21-13997-2021, 2021
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The paper provides a discussion of key elements of moist convective dynamics: cloud buoyancy, latent heating, precipitation, and entrainment. The motivation comes from recent discussions concerning differences in convective dynamics in polluted and pristine environments.
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.
Ruhi S. Humphries, Melita D. Keywood, Sean Gribben, Ian M. McRobert, Jason P. Ward, Paul Selleck, Sally Taylor, James Harnwell, Connor Flynn, Gourihar R. Kulkarni, Gerald G. Mace, Alain Protat, Simon P. Alexander, and Greg McFarquhar
Atmos. Chem. Phys., 21, 12757–12782, https://doi.org/10.5194/acp-21-12757-2021, https://doi.org/10.5194/acp-21-12757-2021, 2021
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The Southern Ocean region is one of the most pristine in the world and serves as an important proxy for the pre-industrial atmosphere. Improving our understanding of the natural processes in this region is likely to result in the largest reductions in the uncertainty of climate and earth system models. In this paper we present a statistical summary of the latitudinal gradient of aerosol and cloud condensation nuclei concentrations obtained from five voyages spanning the Southern Ocean.
Jing Feng, Yi Huang, and Zhipeng Qu
Atmos. Meas. Tech., 14, 5717–5734, https://doi.org/10.5194/amt-14-5717-2021, https://doi.org/10.5194/amt-14-5717-2021, 2021
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It is challenging to measure the atmospheric conditions above convective storms. In this study, a method of retrieving thermodynamic variables above convective storms using a combination of satellite-based observations from a hyperspectral infrared sounder and active sensors is developed. We find that this method captures the spatial distributions of thermodynamic anomalies above convective clouds well. This method is potentially applicable to observations from current and future satellites.
Konstantin Baibakov, Samuel LeBlanc, Keyvan Ranjbar, Norman T. O'Neill, Mengistu Wolde, Jens Redemann, Kristina Pistone, Shao-Meng Li, John Liggio, Katherine Hayden, Tak W. Chan, Michael J. Wheeler, Leonid Nichman, Connor Flynn, and Roy Johnson
Atmos. Chem. Phys., 21, 10671–10687, https://doi.org/10.5194/acp-21-10671-2021, https://doi.org/10.5194/acp-21-10671-2021, 2021
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We find that the airborne measurements of the vertical extinction due to aerosols (aerosol optical depth, AOD) obtained in the Athabasca Oil Sands Region (AOSR) can significantly exceed ground-based values. This can have an effect on estimating the AOSR radiative impact and is relevant to satellite validation based on ground-based measurements. We also show that the AOD can marginally increase as the plumes are being transported away from the source and the new particles are being formed.
Katherine Hayden, Shao-Meng Li, Paul Makar, John Liggio, Samar G. Moussa, Ayodeji Akingunola, Robert McLaren, Ralf M. Staebler, Andrea Darlington, Jason O'Brien, Junhua Zhang, Mengistu Wolde, and Leiming Zhang
Atmos. Chem. Phys., 21, 8377–8392, https://doi.org/10.5194/acp-21-8377-2021, https://doi.org/10.5194/acp-21-8377-2021, 2021
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We developed a method using aircraft measurements to determine lifetimes with respect to dry deposition for oxidized sulfur and nitrogen compounds over the boreal forest in Alberta, Canada. Atmospheric lifetimes were significantly shorter than derived from chemical transport models with differences related to modelled dry deposition velocities. The shorter lifetimes suggest models need to reassess dry deposition treatment and predictions of sulfur and nitrogen in the atmosphere and ecosystems.
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.
Andrew M. Dzambo, Tristan L'Ecuyer, Kenneth Sinclair, Bastiaan van Diedenhoven, Siddhant Gupta, Greg McFarquhar, Joseph R. O'Brien, Brian Cairns, Andrzej P. Wasilewski, and Mikhail Alexandrov
Atmos. Chem. Phys., 21, 5513–5532, https://doi.org/10.5194/acp-21-5513-2021, https://doi.org/10.5194/acp-21-5513-2021, 2021
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This work highlights a new algorithm using data collected from the 2016–2018 NASA ORACLES field campaign. This algorithm synthesizes cloud and rain measurements to attain estimates of cloud and precipitation properties over the southeast Atlantic Ocean. Estimates produced by this algorithm compare well against in situ estimates. Increased rain fractions and rain rates are found in regions of atmospheric instability. This dataset can be used to explore aerosol–cloud–precipitation interactions.
Siddhant Gupta, Greg M. McFarquhar, Joseph R. O'Brien, David J. Delene, Michael R. Poellot, Amie Dobracki, James R. Podolske, Jens Redemann, Samuel E. LeBlanc, Michal Segal-Rozenhaimer, and Kristina Pistone
Atmos. Chem. Phys., 21, 4615–4635, https://doi.org/10.5194/acp-21-4615-2021, https://doi.org/10.5194/acp-21-4615-2021, 2021
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Observations from the 2016 NASA ObseRvations of Aerosols above CLouds and their intEractionS (ORACLES) field campaign examine how biomass burning aerosols from southern Africa affect marine stratocumulus cloud decks over the Southeast Atlantic. Instances of contact and separation between aerosols and clouds are examined to quantify the impact of aerosol mixing into cloud top on cloud drop numbers and sizes. This information is needed for improving Earth system models and satellite retrievals.
Jens Redemann, Robert Wood, Paquita Zuidema, Sarah J. Doherty, Bernadette Luna, Samuel E. LeBlanc, Michael S. Diamond, Yohei Shinozuka, Ian Y. Chang, Rei Ueyama, Leonhard Pfister, Ju-Mee Ryoo, Amie N. Dobracki, Arlindo M. da Silva, Karla M. Longo, Meloë S. Kacenelenbogen, Connor J. Flynn, Kristina Pistone, Nichola M. Knox, Stuart J. Piketh, James M. Haywood, Paola Formenti, Marc Mallet, Philip Stier, Andrew S. Ackerman, Susanne E. Bauer, Ann M. Fridlind, Gregory R. Carmichael, Pablo E. Saide, Gonzalo A. Ferrada, Steven G. Howell, Steffen Freitag, Brian Cairns, Brent N. Holben, Kirk D. Knobelspiesse, Simone Tanelli, Tristan S. L'Ecuyer, Andrew M. Dzambo, Ousmane O. Sy, Greg M. McFarquhar, Michael R. Poellot, Siddhant Gupta, Joseph R. O'Brien, Athanasios Nenes, Mary Kacarab, Jenny P. S. Wong, Jennifer D. Small-Griswold, Kenneth L. Thornhill, David Noone, James R. Podolske, K. Sebastian Schmidt, Peter Pilewskie, Hong Chen, Sabrina P. Cochrane, Arthur J. Sedlacek, Timothy J. Lang, Eric Stith, Michal Segal-Rozenhaimer, Richard A. Ferrare, Sharon P. Burton, Chris A. Hostetler, David J. Diner, Felix C. Seidel, Steven E. Platnick, Jeffrey S. Myers, Kerry G. Meyer, Douglas A. Spangenberg, Hal Maring, and Lan Gao
Atmos. Chem. Phys., 21, 1507–1563, https://doi.org/10.5194/acp-21-1507-2021, https://doi.org/10.5194/acp-21-1507-2021, 2021
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Southern Africa produces significant biomass burning emissions whose impacts on regional and global climate are poorly understood. ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) is a 5-year NASA investigation designed to study the key processes that determine these climate impacts. The main purpose of this paper is to familiarize the broader scientific community with the ORACLES project, the dataset it produced, and the most important initial findings.
Georgia Sotiropoulou, Étienne Vignon, Gillian Young, Hugh Morrison, Sebastian J. O'Shea, Thomas Lachlan-Cope, Alexis Berne, and Athanasios Nenes
Atmos. Chem. Phys., 21, 755–771, https://doi.org/10.5194/acp-21-755-2021, https://doi.org/10.5194/acp-21-755-2021, 2021
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Summer clouds have a significant impact on the radiation budget of the Antarctic surface and thus on ice-shelf melting. However, these are poorly represented in climate models due to errors in their microphysical structure, including the number of ice crystals that they contain. We show that breakup from ice particle collisions can substantially magnify the ice crystal number concentration with significant implications for surface radiation. This process is currently missing in climate models.
Alexei Korolev and Thomas Leisner
Atmos. Chem. Phys., 20, 11767–11797, https://doi.org/10.5194/acp-20-11767-2020, https://doi.org/10.5194/acp-20-11767-2020, 2020
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Secondary ice production (SIP) plays a key role in the formation of ice particles in tropospheric clouds. This work presents a critical review of the laboratory studies related to secondary ice production. It aims to identify gaps in our knowledge of SIP as well as to stimulate further laboratory studies focused on obtaining a quantitative description of efficiencies for each SIP mechanism.
Cited articles
Ackerman, A. S., Fridlind, A. M., Grandin, A., Dezitter, F., Weber, M., Strapp, J. W., and Korolev, A. V.: High ice water content at low radar reflectivity near deep convection – Part 2: Evaluation of microphysical pathways in updraft parcel simulations, Atmos. Chem. Phys., 15, 11729–11751, https://doi.org/10.5194/acp-15-11729-2015, 2015.
Baumgardner, D., Jonsson, H. H., Dawson, W., O'Connor, D. P., and Newton,
R.: The Cloud, Aerosol and Precipitation Spectrometer: A New Instrument for
Cloud Investigations, Atmos. Res., 59–60, 251–264,
https://doi.org/10.1016/S0169-8095(01)00119-3, 2001.
Baumgardner, D., Abel, S. J., Axisa, D., Cotton, R., Crosier, J., Field, P.,
Gurganus, C., Heymsfield, A., Korolev, A., Krämer, M., Lawson, P.,
McFarquhar, G., Ulanowski, Z., and Um, J.: Cloud Ice Properties: In Situ
Measurement Challenges, Meteor. Mon., 58, 9.1–9.23,
https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0011.1, 2017.
Bryan, G. H., Wyngaard, J. C., and Fritsch, J. M.: Resolution requirements
for the simulation of deep moist convection, Mon. Weather Rev., 131, 2394–2416,
https://doi.org/10.1175/1520-0493(2003)131<2394:RRFTSO>2.0.CO;2, 2003.
Cantrell, W. and Heymsfield, A.: Production of ice in tropospheric clouds: A
review, B. Am. Meteorol. Soc., 86, 795–808,
https://doi.org/10.1175/BAMS-86-6-795, 2005.
Cholette, M., Morrison, H., Milbrandt, J. A., and Thériault, J. M.:
Parameterization of the bulk liquid fraction on mixed-phase particles in the
Predicted Particle Properties (P3) scheme: Description and idealized
simulations, J. Atmos. Sci., 76, 561–582,
https://doi.org/10.1175/jas-d-18-0278.1, 2019.
Côté, J., Gravel, S., Méthot, A., Patoine, A., Roch, M., and Staniforth, A.: The operational CMC–MRB global environmental multiscale (GEM) model. Part I: Design considerations and formulation, Mon. Weather. Rev., 126, 1373–1395, https://doi.org/10.1175/1520-0493(1998)126<1373:TOCMGE>2.0.CO;2, 1998.
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, 1986.
Davison, C. R., MacLeod, J. D., Strapp, J. W., and Buttsworth, D. R.:
Isokinetic Total Water Content Probe in a Naturally Aspirating
Configuration: Initial Aerodynamic Design and Testing, 2008, AIAA Paper
2008-0435, 46th AIAA Aerospace Sciences Meeting and Exhibit, 10 January 2008,
Reno, Nevada. 2008.
Dedekind, Z., Lauber, A., Ferrachat, S., and Lohmann, U.: Sensitivity of precipitation formation to secondary ice production in winter orographic mixed-phase clouds, Atmos. Chem. Phys., 21, 15115–15134, https://doi.org/10.5194/acp-21-15115-2021, 2021.
Dye, J. E. and Hobbs P. V.: The influence of environmental parameters on
the freezing and fragmentation of suspended water drops, J. Atmos. Sci., 25,
82–96, https://doi.org/10.1175/1520-0469(1968)025<0082:TIOEPO>2.0.CO;2, 1968.
Environment and Climate Change Canada: The Global Environmental Multiscale Model (GEM) (version 5.1.0-rc3), GitHub [code], https://github.com/ECCC-ASTD-MRD/gem/tree/5.1.0-rc3 (last access 12 September 2022), 2020.
Ferrier, B. S.: A two-moment multiple-phase four-class bulk ice scheme. Part
I: Description, J. Atmos. Sci., 51, 249–280, 1994.
Ferrier, B. S., Tau, W.-K., and Simpson, J.: A two-moment multiple phase
four-class bulk ice scheme. Part II: Simulations of convective storms in
different large-scale environments and comparisons with other bulk
parameterizations, J. Atmos. Sci., 52, 1001–1033, 1995.
Field, P. R., Heymsfield, A. J., and Bansemer, A.: Shattering and Particle
Inter-arrival Times Measured by Optical Array Probes in Ice Clouds, J.
Atmos. Ocean. Tech., 23, 1357–1370, 2006.
Field, P. R., Lawson, R. P., Brown, P. R. A., 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.
Franklin, C. N., Protat, A., Leroy, D., and Fontaine, E.: Controls on phase composition and ice water content in a convection-permitting model simulation of a tropical mesoscale convective system, Atmos. Chem. Phys., 16, 8767–8789, https://doi.org/10.5194/acp-16-8767-2016, 2016.
Fridlind, A. M., Ackerman, A. S., Grandin, A., Dezitter, F., Weber, M., Strapp, J. W., Korolev, A. V., and Williams, C. R.: High ice water content at low radar reflectivity near deep convection – Part 1: Consistency of in situ and remote-sensing observations with stratiform rain column simulations, Atmos. Chem. Phys., 15, 11713–11728, https://doi.org/10.5194/acp-15-11713-2015, 2015.
Fu, S., Deng, X., Shupe, M. D., and Xue, H.: A modelling study of the
continuous ice formation in an autumnal Arctic mixed-phase cloud case,
Atmos. Res., 228, 77–85,
https://doi.org/10.1016/j.atmosres.2019.05.021, 2019.
Gayet, J.-F., Mioche, G., Bugliaro, L., Protat, A., Minikin, A., Wirth, M., Dörnbrack, A., Shcherbakov, V., Mayer, B., Garnier, A., and Gourbeyre, C.: On the observation of unusual high concentration of small chain-like aggregate ice crystals and large ice water contents near the top of a deep convective cloud during the CIRCLE-2 experiment, Atmos. Chem. Phys., 12, 727–744, https://doi.org/10.5194/acp-12-727-2012, 2012.
Girard, C., Desgagné, M., McTaggart-Cowan, R., Côté, J.,
Charron, M., Gravel, S., Lee, V., Patoine, A., Qaddouri, A., Roch, M.,
Spacek, L., Tanguay, M., Vaillancourt, P. A., and Zadra, A.: Staggered
vertical discretization of the Canadian environmental multiscale (GEM) model
using a coordinate of the log-hydrostatic-pressure type, Mon. Weather
Rev., 142, 1183–1196, https://doi.org/10.1175/MWR-D-13-00255.1, 2014.
Hallett, J. and Mossop, S.: Production of secondary ice particles during the
riming process, Nature, 249, 26–28, https://doi.org/10.1038/249026a0, 1974.
Hallgren, R. E. and Hosler, C. L.: Preliminary results on the aggregation of ice crystals, in: Physics of Precipitation: Proceedings of the Cloud Physics Conference, Woods Hole, Massachusetts, 3–5 June 1959, American Geophysical Union, 257–263, https://doi.org/10.1029/GM005p0257, 1960.
Hawker, R. E., Miltenberger, A. K., Johnson, J. S., Wilkinson, J. M., Hill, A. A., Shipway, B. J., Field, P. R., Murray, B. J., and Carslaw, K. S.: Model emulation to understand the joint effects of ice-nucleating particles and secondary ice production on deep convective anvil cirrus, Atmos. Chem. Phys., 21, 17315–17343, https://doi.org/10.5194/acp-21-17315-2021, 2021.
Heymsfield, A. J. and Parrish, J. L.: Techniques employed in the
processing of particle size spectra and state parameter data obtained with
the T-28 aircraft platform (No. NCAR/TN-137+IA), University Corporation
for Atmospheric Research, https://https://doi.org/10.5065/D6639MPN, 1979.
Heymsfield, A. J. and Palmer, A.: Relationship for deriving thunderstorm
anvil ice mass for CCOPE storm weather estimates, J. Clim. Appl. Meteorol.,
25, 691–702, https://doi.org/10.1175/1520-0450(1986)025<0691:RFDTAI>2.0.CO;2, 1986.
Hoarau, T., Pinty, J.-P., and Barthe, C.: A representation of the collisional ice break-up process in the two-moment microphysics LIMA v1.0 scheme of Meso-NH, Geosci. Model Dev., 11, 4269–4289, https://doi.org/10.5194/gmd-11-4269-2018, 2018.
Hobbs, P. V. and Rangno, A. L.: Ice particle concentrations in clouds,
J. Atmos. Sci., 42, 2523–2549,
https://doi.org/10.1175/1520-0469(1985)042<2523:IPCIC>2.0.CO;2, 1985.
Hu, Y., McFarquhar, G. M., Wu, W., Huang, Y., Schwarzenboeck, A., Protat,
A., Korolev, A., Rauber, R. M., and Wang, H.: Dependence of Ice
Microphysical Properties On Environmental Parameters: Results from HAIC-HIWC
Cayenne Field Campaign, J. Atmos. Sci., 78, 2957–2981,
https://doi.org/10.1175/JAS-D-21-0015.1, 2021.
Huang, Y., Wu, W., McFarquhar, G. M., Wang, X., Morrison, H., Ryzhkov, A., Hu, Y., Wolde, M., Nguyen, C., Schwarzenboeck, A., Milbrandt, J., Korolev, A. V., and Heckman, I.: Microphysical processes producing high ice water contents (HIWCs) in tropical convective clouds during the HAIC-HIWC field campaign: evaluation of simulations using bulk microphysical schemes, Atmos. Chem. Phys., 21, 6919–6944, https://doi.org/10.5194/acp-21-6919-2021, 2021.
Huang, Y., Wu, W., McFarquhar, G. M., Xue, M., Morrison, H., Milbrandt, J., Korolev, A. V., Hu, Y., Qu, Z., Wolde, M., Nguyen, C., Schwarzenboeck, A., and Heckman, I.: Microphysical processes producing high ice water contents (HIWCs) in tropical convective clouds during the HAIC-HIWC field campaign: dominant role of secondary ice production, Atmos. Chem. Phys., 22, 2365–2384, https://doi.org/10.5194/acp-22-2365-2022, 2022.
James, R. L., Phillips, V. T. J., and Connolly, P. J.: Secondary ice production during the break-up of freezing water drops on impact with ice particles, Atmos. Chem. Phys., 21, 18519–18530, https://doi.org/10.5194/acp-21-18519-2021, 2021.
Kanji, Z. A., Ladino, L. A., Wex, H., Boose, Y., Burkert-Kohn, M., Cziczo,
D. J., and Krämer, M.: Overview of ice nucleating particles,
Meteor. Mon., 58, 1.1–1.33,
https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0006.1, 2017.
Khain, A. P. and Pinsky, M.: Physical processes in clouds and cloud modeling. Cambridge University Press, UK and New York, NY, USA, 626 pp., https://doi.org/10.1017/9781139049481, 2018.
Keinert, A., Spannagel, D., Leisner, T., and Kiselev, A.: Secondary ice
production upon freezing of freely falling drizzle droplets, J. Atmos. Sci.,
77, 2959–2967, https://doi.org/10.1175/JAS-D-20-0081.1, 2020.
Keppas, S. C., Crosier, J., Choularton, T. W., and Bower, K. N.: Ice
lollies: An ice particle generated in supercooled conveyor belts, Geophys.
Res. Lett., 44, 5222–5230, https://doi.org/10.1002/2017GL073441, 2017.
Kleinheins, J., Kiselev, A., Keinert, A., Kind, M., and Leisner, T.: Thermal
imaging of freezing drizzle droplets: pressure release events as a source of
secondary ice particles, J. Atmos. Sci., 78, 1703–1713,
https://doi.org/10.1175/jas-d-20-0323.1, 2021.
Knapp, K. R. and Wilkins, S. L.: Gridded Satellite (GridSat) GOES and CONUS data, Earth Syst. Sci. Data, 10, 1417–1425, https://doi.org/10.5194/essd-10-1417-2018, 2018.
Koenig, L. R.: The Glaciating Behaviour 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.
Koenig, L. R.: Drop freezing through drop breakup. J. Atmos. Sci., 22,
448–451, https://doi.org/10.1175/1520-0469(1965)022<0448:DFTDB>2.0.CO;2, 1965.
Korolev, A. and Field, P. R.: Assessment of the performance of the inter-arrival time algorithm to identify ice shattering artifacts in cloud particle probe measurements, Atmos. Meas. Tech., 8, 761–777, https://doi.org/10.5194/amt-8-761-2015, 2015.
Korolev, A. and Leisner, T.: Review of experimental studies of secondary ice production, Atmos. Chem. Phys., 20, 11767–11797, https://doi.org/10.5194/acp-20-11767-2020, 2020.
Korolev, A. and Sussman, B.: A Technique for Habit Classification of Cloud
Particles, J. Atmos. Ocean. Tech., 17, 1048–1057,
https://doi.org/10.1175/1520-0426(2000)017<1048:ATFHCO>2.0.CO;2, 2000.
Korolev, A., Heckman, I., Wolde, M., Ackerman, A. S., Fridlind, A. M., Ladino, L. A., Lawson, R. P., Milbrandt, J., and Williams, E.: A new look at the environmental conditions favorable to secondary ice production, Atmos. Chem. Phys., 20, 1391–1429, https://doi.org/10.5194/acp-20-1391-2020, 2020.
Ladino, L. A., Korolev, A., Heckman, I., Wolde, M., Fridlind, A. M., and
Ackerman, A. S.: On the role of ice-nucleating aerosol in the formation of
ice particles in tropical mesoscale convective systems, Geophys. Res. Lett., 44, 1574–1582, https://doi.org/10.1002/2016GL072455, 2017.
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.
Lawson, R. P., Angus, L. J., and Heymsfield, A. J.: Cloud Particle
Measurements in Thunderstorm Anvils and Possible Threat to Aviation, J.
Aircraft, 35, 113–121, 1998.
Lawson, R. P., O'Connor, D., Zmarzly, P., Weaver, K., Baker, B., Mo, Q., and
Jonsson, H.: The 2D-S (stereo) probe: Design and preliminary tests of a new
airborne, high speed, high-resolution particle imaging probe, J. Atmos.
Ocean. Tech., 23, 1462–1477, https://doi.org/10.1175/JTECH1927.1, 2006.
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, 2015.
Lawson, R. 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.
Lebo, Z. J. and Morrison, H.: Effects of horizontal and vertical grid
spacing on mixing in simulated squall lines and implications for convective
strength and structure, Mon. Weather Rev., 143, 4355–4375, https://doi.org/10.1175/MWR-D-15-0154.1, 2015.
Leroy, D., Fontaine, E., Schwarzenboeck, A., Strapp, J. W., Korolev, A.,
McFarquhar, G., Dupuy, R., Gourbeyre, C., Lilie, L., Protat, A., Delanoe,
J., Dezitter, F., and Grandin, A.: Ice crystal sizes in high ice water
content clouds. Part II: Statistics of mass diameter percentiles in tropical
convection observed during the HAIC/HIWC project, J. Atmos. Ocean. Tech.,
34, 117–136, https://doi.org/10.1175/JTECH-D-15-0246.1, 2017.
Li, H., Korolev, A., and Moisseev, D.: Supercooled liquid water and secondary ice production in Kelvin–Helmholtz instability as revealed by radar Doppler spectra observations, Atmos. Chem. Phys., 21, 13593–13608, https://doi.org/10.5194/acp-21-13593-2021, 2021.
Lin, Y.-L., Farley, R. D., and Orville, H. D.: Bulk parameterization of the
snow field in a cloud model, J. Clim. Appl. Meteorol., 22,
1065–1092, https://doi.org/10.1175/1520-0450(1983)022<1065:bpotsf>2.0.co;2, 1983.
Lloyd, G., Choularton, T. W., Bower, K. N., Gallagher, M. W., Connolly, P. J., Flynn, M., Farrington, R., Crosier, J., Schlenczek, O., Fugal, J., and Henneberger, J.: The origins of ice crystals measured in mixed-phase clouds at the high-alpine site Jungfraujoch, Atmos. Chem. Phys., 15, 12953–12969, https://doi.org/10.5194/acp-15-12953-2015, 2015.
Luke, E. P., Yang, F., Kollias, P., Vogelmann, A. M., and Maahn, M.: New
insights into ice multiplication using remote-sensing observations of
slightly supercooled mixed-phase clouds in the Arctic, P. Natl. Acad. Sci. USA,
118, e2021387118, https://doi.org/10.1073/pnas.2021387118, 2021.
Mason, J. G. and Grzych, M.: The Challenges Identifying Weather
Associated with Jet Engine Ice Crystal Icing, SAE Technical Paper
2011-38-0094, https://doi.org/10.4271/2011-38-0094, 2011.
Mason, J. G., Strapp, J. W., and Chow, P.: The Ice Particle Threat to Engines in Flight, 44th AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, January 9–12, AIAA 2006-206, https://doi.org/10.2514/6.2006-206, 2006.
Mignani, C., Creamean, J. M., Zimmermann, L., Alewell, C., and Conen, F.: New type of evidence for secondary ice formation at around −15 ∘C in mixed-phase clouds, Atmos. Chem. Phys., 19, 877–886, https://doi.org/10.5194/acp-19-877-2019, 2019.
Milbrandt, J. and Morrison, H.: Parameterization of cloud microphysics based
on the prediction of bulk ice particle properties. Part III: Introduction of
multiple free categories, J. Atmos. Sci., 73, 975–995,
https://doi.org/10.1175/JAS-D-15-0204.1, 2016.
Milbrandt, J. A. and Yau, M. K.: A multi-moment bulk microphysics
parameterization. Part I: Analysis of the role of the spectral shape
parameter, J. Atmos. Sci., 62, 3051–3064,
https://doi.org/10.1175/JAS3534.1, 2005a.
Milbrandt, J. A. and Yau, M. K.: A multi-moment bulk microphysics
parameterization. Part II: A proposed three-moment closure and scheme
description, J. Atmos. Sci., 62, 3065–3081,
https://doi.org/10.1175/JAS3535.1, 2005b.
Milbrandt, J. A., Bélair, S., Faucher, M., Vallée, M., Carrera, M.
A., and Glazer, A.: The Pan-Canadian High Resolution (2.5-km) Deterministic
Prediction System, Weather Forecast., 31, 1791–1816, https://doi.org/10.1175/WAF-D-16-0035.1, 2016.
Milbrandt, J. A., Morrison, H., Dawson II, D. T., and Paukert, M.: A
triple-moment representation of ice in the Predicted Particle Properties
(P3) microphysics scheme, J. Atmos. Sci., 78, 439–458,
https://doi.org/10.1175/JAS-D-20-0084.1, 2021.
Morrison, H. and Milbrandt, J. A.: Parameterization of cloud microphysics
based on the prediction of bulk ice particle properties. Part I: Scheme
description and idealized tests, J. Atmos. Sci., 72, 287–311,
https://doi.org/10.1175/JAS-D-14-0065.1, 2015.
Murgatroyd, R. and Garrod, M.: Observations of precipitation elements in
cumulus clouds, Q. J. Roy. Meteor. Soc., 86, 167–175,
https://doi.org/10.1002/qj.49708636805, 1960.
Naylor, J. and Gilmore, M. S.: Convective initiation in an idealized cloud
model using an updraft nudging technique, Mon. Weather Rev., 140,
3699–3705, https://doi.org/10.1175/MWR-D-12-00163.1, 2012.
Oraltay, R. G. and Hallett, J.: Evaporation and melting of ice crystals: A
laboratory study, Atmos. Res., 24, 169–189,
https://doi.org/10.1016/0169-8095(89)90044-6, 1989.
Paukert, m., Fan, J., Rasch, P. J., Morrison, H., Milbrandt, J., Shpund, J.,
Khain, A.: Three-moment representation of rain in a bulk microphysics model.
J. Adv. Model. Earth Sy., 11, 257–277,
https://doi.org/10.1029/2018MS001512, 2019.
Phillips, V. T. J., Yano, J. I., Formenton, M., Ilotoviz, E., Kanawade, V.,
Kudzotsa, I., Sun, J., Bansemer, A., Detwiler, A. G., Khain, A., and
Tessendorf, S. A.: Ice multiplication by breakup in ice-ice collisions. Part
II: Numerical simulations, J. Atmos. Sci., 74, 2789–2811,
https://doi.org/10.1175/JAS-D-16-0223.1, 2017.
Phillips, V. T., Patade, S., Gutierrez, J., and Bansemer, A.: Secondary ice
production by fragmentation of freezing drops: Formulation and theory, J.
Atmos. Sci., 75, 3031–3070, https://doi.org/10.1175/JAS-D-17-0190.1, 2018.
Prabhakaran, P., Kinney, G., Cantrell, W., Shaw, R. A., and Bodenschatz, E.:
High supersaturation in the wake of fallinghydrometeors: Implications for
cloud invigoration and ice nucleation, Geophys. Res. Lett., 47,
e2020GL088055, https://doi.org/10.1029/2020GL088055, 2020.
Reisner, J., Rasmussen, R. M., and Bruintjes, R. T.: Explicit forecasting of
supercooled liquid water in winter storms using the MM5 mesoscale model, Q.
J. Roy. Meteor. Soc., 124, 1071–1107, 1998.
Qu, Z., Barker, H. W., Korolev, A. V., Milbrandt, J. A., Heckman, I.,
Bélair, S., Leroyer, S., Vaillancourt, P. A., Wolde, M.,
Schwarzenböck, A., Leroy, D., Strapp, J.W., Cole, J. N., Nguyen, L., and
Heidinger, A.: Evaluation of a high-resolution numerical weather prediction
model's simulated clouds using observations from CloudSat, GOES-13 and in
situ aircraft, Q. J. Roy. Meteor. Soc., 144, 1681–1694,
https://doi.org/10.1002/qj.3318, 2018.
Seifert, A. and Beheng, K.: A two-moment cloud microphysics parameterization
for mixed-phase clouds. Part 1: Model description, Meteorol. Atmos. Phys.,
92, 45–66, https://doi.org/10.1007/s00703-005-0112-4, 2006.
Sotiropoulou, G., Sullivan, S., Savre, J., Lloyd, G., Lachlan-Cope, T., Ekman, A. M. L., and Nenes, A.: The impact of secondary ice production on Arctic stratocumulus, Atmos. Chem. Phys., 20, 1301–1316, https://doi.org/10.5194/acp-20-1301-2020, 2020.
Sotiropoulou, G., Vignon, É., Young, G., Morrison, H., O'Shea, S. J., Lachlan-Cope, T., Berne, A., and Nenes, A.: Secondary ice production in summer clouds over the Antarctic coast: an underappreciated process in atmospheric models, Atmos. Chem. Phys., 21, 755–771, https://doi.org/10.5194/acp-21-755-2021, 2021.
Stanford, M. W., Varble, A., Zipser, E., Strapp, J. W., Leroy, D., Schwarzenboeck, A., Potts, R., and Protat, A.: A ubiquitous ice size bias in simulations of tropical deep convection, Atmos. Chem. Phys., 17, 9599–9621, https://doi.org/10.5194/acp-17-9599-2017, 2017.
Strapp, J. W., Schwarzenboeck, A., Bedka, K., Bond, T., Calmels, A.,
Delanoe, J., Dezitter, F., Grzych, M., Harrah, S., Korolev, A., Leroy, D.,
Lilie, L., Mason, J., Potts, R., Protat, A., Ratvasky, T., Riley, J. T., and
Wolde, M.: Comparisons of Cloud In Situ Microphysical Properties of Deep Convective
Clouds to Appendix D/P Using Data from the High-Altitude Ice Crystals-High
Ice Water Content and High Ice Water Content-RADAR I Flight Campaigns, SAE
International Journal of Aerospace, 14, 127–159,
https://doi.org/10.4271/01-14-02-0007, 2021.
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.
Takahashi, T., Nagao, Y., and Kushiyama, Y.: Possible high ice particle
production during graupel–graupel collisions, J. Atmos. Sci., 52,
4523–4527, https://doi.org/10.1175/1520-0469(1995)052<4523:PHIPPD>2.0.CO;2, 1995.
UCAR/NCAR – Earth Observing Laboratory: HAIC-HIWC_2015: High Altitude Ice Crystals, High Ice Water Content Project, UCAR/NCAR [data set], https://data.eol.ucar.edu/master_lists/generated/haic-hiwc_2015 (last access: 31 March 2022), 2015.
Vardiman, L.: The generation of secondary ice particles in clouds by
crystal–crystal collision, J. Atmos. Sci., 35, 2168–2180,
https://doi.org/10.1175/1520-0469(1978)035<2168:TGOSIP>2.0.CO;2, 1978.
Wolde, M. and Pazmany, A.: NRC dual-frequency airborne radar for atmospheric research, in: 32nd Int. Conf. on Radar Meteorology, Albuquerque, NM, 22–29 October 2005, Amer. Meteor. Soc., P1R.9, https://ams.confex.com/ams/32Rad11Meso/techprogram/paper_96918.htm (last access: 12 September 2022), 2005.
Short summary
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.
Secondary ice production (SIP) is an important physical phenomenon that results in an increase...
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