Articles | Volume 26, issue 18
https://doi.org/10.5194/acp-26-13319-2026
© Author(s) 2026. 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-26-13319-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Sep 2026
Research article |
| 22 Sep 2026
| 22 Sep 2026
Cloud-type-dependent mixed-phase cloud climatology from CloudSat/CALIPSO measurements
Kang Yang
School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY 11794, USA
School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY 11794, USA
Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY 11973, USA
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Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2026-241, https://doi.org/10.5194/essd-2026-241, 2026
Preprint under review for ESSD
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Min Deng, Scott Giangrande, Adam K. Theisen, Karen Johnson, Iosif A. Lindenmaier, Timothy G. Wendler, Jennifer Comstock, Marquette Rocque, Zeen Zhu, and Alyssa Matthews
EGUsphere, https://doi.org/10.5194/egusphere-2026-3304, https://doi.org/10.5194/egusphere-2026-3304, 2026
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Samuel Ephraim, Paquita Zuidema, Aaron Bansemer, Lintong Cai, Markus Petters, Elise Rosky, Jefferson R. Snider, Zhien Wang, Sarah Woods, Kevin Barry, Theresa Campos, Owen Cruikshank, Sabine Eckhardt, Nikolaos Evangeliou, Romanos Foskinis, Jeffrey R. French, Bart Geerts, Coltin Grasmick, Silvia Henning, Varun Kumar, Andreas Massling, Camille Mavis, Greg M. McFarquhar, Athanasios Nenes, Gunnar Noer, Ryan Patnaude, Russell Perkins, Lise Lotte Sorensen, Henrik Skov, Tyler Tatro, Florian Tornow, and Lu Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2026-2940, https://doi.org/10.5194/egusphere-2026-2940, 2026
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Fan Mei, Jian Wang, Israel Silber, Nurun Nahar Lata, Gregory W. Vandergrift, Jing Li, Bo Chen, Sarah Brooks, Michael P. Jensen, Min Deng, Damao Zhang, Darielle Dexheimer, Beat Schmid, Zezhen Cheng, and Swarup China
EGUsphere, https://doi.org/10.5194/egusphere-2026-2245, https://doi.org/10.5194/egusphere-2026-2245, 2026
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Tamanna Subba, Michael P. Jensen, Min Deng, Scott E. Giangrande, Mark C. Harvey, Ashish Singh, Die Wang, Maria Zawadowicz, and Chongai Kuang
Atmos. Chem. Phys., 26, 2853–2879, https://doi.org/10.5194/acp-26-2853-2026, https://doi.org/10.5194/acp-26-2853-2026, 2026
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Using TRacking Aerosol Convection Interactions Experiment field campaign observations and model simulations, we studied summertime sea-breeze events in southern Texas. When sea-breeze fronts moved inland, they mixed marine and continental air, changing aerosol concentrations by up to a factor of two as far as 50 km inland. The sea breeze also reduced the number of particles that can form cloud droplets, highlighting the connection between coastal meteorology and aerosol-cloud interactions.
Yufei Chu, Guo Lin, Min Deng, Lulin Xue, Weiwei Li, Hyeyum Hailey Shin, Jun A. Zhang, Hanqing Guo, and Zhien Wang
Atmos. Chem. Phys., 26, 1415–1434, https://doi.org/10.5194/acp-26-1415-2026, https://doi.org/10.5194/acp-26-1415-2026, 2026
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We developed a new machine learning approach to estimate the height of the mixing layer in the lower atmosphere, which is important for predicting weather and air quality. By using daily temperature and heat patterns, the model learns how the atmosphere changes throughout the day. It gives accurate results across different locations and seasons, helping improve future climate and weather forecasts through better understanding of surface–atmosphere interactions.
Min Deng, Scott E. Giangrande, Michael P. Jensen, Karen Johnson, Christopher R. Williams, Jennifer M. Comstock, Ya-Chien Feng, Alyssa Matthews, Iosif A. Lindenmaier, Timothy G. Wendler, Marquette Rocque, Aifang Zhou, Zeen Zhu, Edward Luke, and Die Wang
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A relative calibration technique is developed for the cloud radar by monitoring the intercept of the wet-radome attenuation log-linear behavior as a function of rainfall rates in light and moderate rain conditions. This resulting reflectivity offset during the recent field campaign is compared favorably with the traditional disdrometer comparison near the rain onset, while it also demonstrates similar trends with respect to collocated and independently calibrated reference radars.
Jing Yang, Jiaojiao Li, Meilian Chen, Xiaoqin Jing, Yan Yin, Bart Geerts, Zhien Wang, Yubao Liu, Baojun Chen, Shaofeng Hua, Hao Hu, Xiaobo Dong, Ping Tian, Qian Chen, and Yang Gao
Atmos. Chem. Phys., 24, 13833–13848, https://doi.org/10.5194/acp-24-13833-2024, https://doi.org/10.5194/acp-24-13833-2024, 2024
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Detecting unambiguous signatures is vital for examining cloud-seeding impacts, but often, seeding signatures are immersed in natural variability. In this study, reflectivity changes induced by glaciogenic seeding using different AgI concentrations are investigated under various conditions, and a method is developed to estimate the AgI concentration needed to detect unambiguous seeding signatures. The results aid in operational seeding-based decision-making regarding the amount of AgI dispersed.
Jingting Huang, S. Marcela Loría-Salazar, Min Deng, Jaehwa Lee, and Heather A. Holmes
Atmos. Chem. Phys., 24, 3673–3698, https://doi.org/10.5194/acp-24-3673-2024, https://doi.org/10.5194/acp-24-3673-2024, 2024
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Increased wildfire intensity has resulted in taller wildfire smoke plumes. We investigate the vertical structure of wildfire smoke plumes using aircraft lidar data and establish two effective smoke plume height metrics. Four novel satellite-based plume height products are evaluated for wildfires in the western US. Our results provide guidance on the strengths and limitations of these satellite products and set the stage for improved plume rise estimates by leveraging satellite products.
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Short summary
Mixed-phase clouds, which contain both ice crystals and supercooled liquid droplets, strongly influence Earth's radiation budget but remain difficult to represent in climate models. Using global satellite observations, we show that they vary greatly by cloud type, with distinct spatial distributions, vertical structures, and seasonal and surface contrasts. These results provide new observational constraints for improving model representation of mixed-phase clouds.
Mixed-phase clouds, which contain both ice crystals and supercooled liquid droplets, strongly...
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