Aerosol-cloud interaction in deep convection


Description:

Convective clouds play an essential role in regulating the global energy and water cycles, with deep convective clouds (DCC) being among the most important components of the Earth's atmospheric system. Despite their significance, the representation of DCCs and their feedback on the global circulation and cloudiness remains a major source of uncertainty in Earth system models. One of the biggest uncertainties is the impact of aerosol on DCC properties, which continues to be a topic of debate within the scientific community.

The goal of this session is to advance our understanding of the three-way aerosol-DCC-environment interactions and their impact on climate predictions. We welcome theoretical, observational, and modeling studies on various topics related to DCC-aerosol-environment interactions, including:

1. Aerosol impacts on DCC macrophysics, microphysics, kinematics, thermodynamics, radiative properties, and precipitation processes

2. Influence of environmental conditions, such as wind shear, humidity, and instability, on DCC processes and aerosol-DCC interactions

3. Climatic influence of aerosol-DCC-environment interactions and their impact on future climate predictions

4. DCC transport of aerosol particles and subsequent influence on the aerosol and cloud condensation nuclei size distributions

5. Novel measurements, including laboratory, in situ, and remote sensing techniques, as well as advanced machine learning methods and modeling techniques


Papers:
Analyzing Aerosol Effect on Deep Convective Clouds over the Global Oceans by Using AI based Techniques
Xuepeng Zhao, NESDIS, Silver Spring, MD; NOAA/NESDIS/National Centers for Environmental Information, Silver Spring, MD

Are NASA Land Information System (LIS) Data Useful for Predicting Dust Storms?
Beto Estrada Jr., Texas A&M Univ.-Corpus Christi, Corpus Christi, TX; and A. Walker, J. Nachamkin, D. A. Peterson, C. T. Nguyen, J. R. Campbell, and P. E. Tissot

A CloudSat and CALIPSO-based Evaluation of the Effects of Thermodynamic Instability and Aerosol Loading on Amazon Basin Deep Convection and Lightning
Dale J. Allen, Univ. of Maryland, College Park, College Park, MD; and K. E. Pickering, M. A. Avery, Z. Li, C. Augusto Morales Rodriguez, S. Shan, and P. Artaxo

Future Satellite Observations of Coupled Convection-Aerosol Processes from the NASA Atmosphere Observing System (AOS)
Scott A. Braun, NASA Goddard Space Flight Center, Greenbelt, MD; and M. Mclinden, P. Kollias, H. Brogniez, T. Kubota, J. E. Yorks, T. Thorsen, and D. J. Cecil

Interaction of environmental conditions and vertical transport in deep convection
Annette Miltenberger, Johannes Gutenberg University Mainz, Mainz, Germany; Johannes Gutenberg Univ. Mainz, Mainz, RP, Germany; and P. M. Kuntze, C. Barthlott, T. Matsunobu, M. Puh, C. Keil, L. A. Frey, M. Kunz, and C. Hoose

Modeling Study of the Effects of Urbanization on Deep Convection, Precipitation, and Lightning around the Houston Metropolitan Area
Takamichi Iguchi, University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD; and T. Matsui, Z. Tao, J. Yoo, E. C. Bruning, and E. R. Mansell

Key notes on investigating aerosol impacts on deep convective clouds
Jiwen Fan, Argonne National Laboratory, Lemont, IL

A new theory of microphysical quasi-equilibrium in precipitating deep ascent and in-cloud aerosol activation
Vaughan T. J. Phillips, Lunds Universitet, Lund, Sweden; Lund Univ., Lund, Sweden

Machine Learning based investigation of the variables affecting summertime lightning over Southeastern South America
Siyu Shan, University of Maryland, Greenbelt, MD; and D. J. Allen, Z. Li, and K. E. Pickering

Submission Deadline: Thursday, 31 August 2023