A053
Evaluating model representations of aerosol, cloud, and chemical processes

Session ID#: 161161

Session Description:
Over the past decades, a variety of models for simulating aerosol particles, cloud microphysical and macrophysical properties, and gas, aerosol, and cloud chemistry have been developed. These process-level models are typically based on fundamental mathematical relationships or systematically parameterized to explain detailed laboratory experiments, and their individual advantages, limitations, and uncertainties are usually well-documented. However, evaluation of such process models in the context of real atmospheric-scale climate and air quality applications is complicated by differences in their implementation within host models, differences in simulated processes, nonlinear feedbacks among many simultaneous processes, and complexities introduced by the ongoing maintenance and development of institutional host models. To advance the representation of aerosol, clouds, and chemistry in atmospheric models, errors stemming from the numerical representation of modeled processes must be well understood. In this session, we invite presentations that describe novel approaches for benchmarking aerosol, cloud, and chemical processes in atmospheric models. Topics may include evaluating reduced models against detailed benchmark schemes, testing models against analytical solutions, model intercomparison, isolating model errors through comparison with measurements, and development of model testing protocols, packages, or infrastructure.
Index Terms:

0305 Aerosols and particles [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0317 Chemical kinetic and photochemical properties [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0320 Cloud physics and chemistry [ATMOSPHERIC COMPOSITION AND STRUCTURE]
3311 Clouds and aerosols [ATMOSPHERIC PROCESSES]

Primary Convener:  Laura Fierce, Pacific Northwest National Laboratory, Richland, WA, United States
Conveners:  Matthew L Dawson, National Center for Atmospheric Research, Boulder, CO, United States, Qiyang Yan, Pacific Northwest National Laboratory, Richland, United States and Benjamin Murphy, Environmental Protection Agency Research Triangle Park, Research Triangle Park, NC, United States
 
Biomass-burning smoke aging and cloud interactions: an intercomparison of WRF-Chem, CESM-Cam-Chem, and E3SM across multiple field campaigns in the southeast Atlantic. (1068996)
Calvin Howes, University of California Los Angeles, Atmospheric and Oceanic Sciences, Los Angeles, CA, United States, Pablo Saide, University of California Los Angeles, Department of Atmospheric and Oceanic Sciences, Los Angeles, United States, Mary C Barth, Natl Ctr Atmospheric Research, Boulder, CO, United States, Yan Feng, DOE Argonne National Laboratory, Argonne, United States, Andrew Gettelman, National Center for Atmospheric Research, Boulder, CO, United States, Wenfu Tang, National Center for Atmospheric Research, Boulder, United States and Paquita Zuidema, University of Miami, Rosenstiel School, Miami, United States
 
Unveiling the time dimension in aerosol-cloud interactions using a Lagrangian framework (Invited) (1075760)
Matthew Christensen1, Po-Lun Ma2, Peng Wu3, Adam Varble1, Johannes Mulmenstadt2 and Jerome D Fast4, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Pacific Northwest National Laboratory, Richland, United States, (3)University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (4)Pacific Northwest Natl Lab, Richland, WA, United States
 
Community effort to build a GeneralIzed Aerosol/chemistry iNTerface (GIANT) for Earth System Models to promote collaborative science (Invited) (1084116)
Alma Hodzic, National Center for Atmospheric Research, Boulder, CO, United States, Natalie M Mahowald, Cornell University, Department of Earth and Atmospheric Sciences, Ithaca, United States, Ligia Bernardet, NOAA, OAR/GSL, Boulder, United States, Thomas Clune, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Laura Fierce, University of Illinois at Urbana Champaign, Civil and Environmental Engineering, Urbana, United States, Jeffrey Johnson, Cohere Consulting, Seattle, United States, Matthew Dawson, NCAR, Boulder, United States, Xiaohong Liu, Texas A&M University College Station, Department of Atmospheric Sciences, College Station, United States, Po-Lun Ma, Pacific Northwest National Laboratory, Richland, United States, Benjamin Murphy, Environmental Protection Agency Research Triangle Park, Research Triangle Park, NC, United States, Nicole Riemer, University of Illinois at Urbana-Champaign, Department of Atmospheric Sciences, Urbana, IL, United States and Michael Schulz, Norwegian Meteorological Institute, Climate and Air Pollution Section, Oslo, Norway
 
Insights from multi-variable verification of aerosol forecast models (1093672)
Andrew Lambert, General Dynamics Information Technology, Falls Church, United States, Edward J Hyer, Marine Meteorology Division, Naval Research Laboratory, Monterey, United States, Christopher P Camacho, US Naval Research Laboratory, Marine Meteorology Division, Monterey, CA, United States, James R Campbell, Naval Research Laboratory, Monterey, United States, David A Peterson, Marine Meteorology Division, Naval Research Laboratory, Monterey, CA, United States and Peng Xian, Naval Research Lab, Marine Meteorology Division, Monterey, CA, United States
 
Exploring errors in simulated aerosol activation using self-organizing maps (1095208)
Sam James Silva, University of Southern California, Earth Sciences & Civil and Environmental Engineering, Los Angeles, United States and Po-Lun Ma, Pacific Northwest National Laboratory, Richland, United States
 
Temporal autocorrelation structure of atmospheric aerosol from observation and numerical simulation (1097905)
James Chen1, Edward J Hyer2, Christopher P Camacho3,4, James R Campbell3, Peng Xian3 and Andrew Lambert5,6, (1)Kirby School, Santa Cruz, United States, (2)Marine Meteorology Division, Naval Research Laboratory, Monterey, United States, (3)Naval Research Lab Monterey, Marine Meteorology, Monterey, CA, United States, (4)General Dynamics Information Technology, Monterey, United States, (5)General Dynamics Information Technology, Falls Church, United States, (6)University of Utah, Salt Lake City, United States
 
NOAA’s Global Aerosol Forecast Capabilities: GEFS-Aerosols and UFS-Aerosols (1117692)
Li Zhang1, Georg Grell2, Partha S Bhattacharjee3, Raffaele Montuoro4, Barry Baker5, Li Pan3, Chunxi Zhang6, Anning Cheng6, Fanglin Yang4, Siyuan Wang7, Jian He8, Gregory J Frost9, Patrick C Campbell5,10, Jeffrey McQueen11, Judy Henderson12, Walter Kolczynski Jr.13, Xianwu Xue14, Ivanka Stajner15,16 and Shobha Kondragunta17, (1)NOAA ESRL/GSL and CU Boulder/CIRES, Boulder, United States, (2)NOAA ESRL/GSL, Boulder, United States, (3)IMSG at NOAA/NWS/NCEP/EMC, College Park, MD, United States, (4)NOAA NCEP/EMC, College Park, United States, (5)NOAA Air Resources Laboratory, Chemical Modeling and Emissions Group, College Park, United States, (6)IMSG at NOAA/NWS/NCEP/EMC, College Park, United States, (7)NOAA ESRL/CSL and CU Boulder/CIRES, Boulder, United States, (8)NOAA ESRL/CSL and CU Boulder/CIRES, University of Colorado, Boulder, United States, (9)NOAA Chemical Sciences Laboratory, NOAA Earth System Research Laboratories, Boulder, United States, (10)George Mason University, Fairfax, United States, (11)NOAA/NWS/NCEP/EMC, College Park, MD, United States, (12)NOAA, OAR/GSL, Boulder, United States, (13)IMSG @ NOAA/NWS/NCEP/EMC, College Park, MD, United States, (14)SRG @ NOAA/NWS/NCEP/EMC, College Park, United States, (15)NOAA National Weather Service, Boulder, MD, United States, (16)NOAA/NWS/NCEP/EMC, College Park, United States, (17)NOAA NESDIS STAR, College Park, MD, United States
 
A Linear and Minimally-diffusive Advection Scheme for Preserving Tracer Correlations in Atmospheric Models (1125140)
Robert L McGraw, Brookhaven Lab, Upton, NY, United States, Fan Yang, Brookhaven National Laboratory, Upton, United States and Laura Fierce, Pacific Northwest National Laboratory, Richland, WA, United States
 
Evaluating Simulations of Secondary Inorganic Aerosols Using a Suite of Aircraft Campaigns (1125471)
Olivia Norman, Massachusetts Institute of Technology, Earth, Atmospheric, and Planetary Sciences, Cambridge, MA, United States and Colette L Heald, Massachusetts Institute of Technology, Civil and Environmental Engineering, Cambridge, United States
 
PyPartMC: Aerosol model intercomparisons with particle resolved models via Python bindings to C++ and Fortran (1125642)
Jeffrey Henry Curtis1, Sylwester Arabas2, Zach D'Aquino1, Akshunna Vaishnav3, Juyoung Choi3, Nicole Riemer4 and Matthew West5, (1)University of Illinois at Urbana Champaign, Department of Atmospheric Sciences, Urbana, United States, (2)Jagiellonian University, Kraków, Poland, (3)University of Illinois at Urbana Champaign, Urbana, United States, (4)University of Illinois at Urbana-Champaign, Department of Atmospheric Sciences, Urbana, IL, United States, (5)University of Illinois at Urbana Champaign, Mechanical Science and Engineering, Urbana, United States
 
Computation of Numerically Exact First- and Second-Order Sensitivities of Biogenic Aerosol Formation in the Community Multiscale Air Quality Model (1127293)
Jiachen Liu1, Eric Chen1, Ryan Russell2 and Shannon Capps1, (1)Drexel University, Civil, Architectural, and Environmental Engineering, Philadelphia, United States, (2)University of Texas at Austin, Austin, United States
 
Exploring the importance of haze particles and their interactions with cloud droplets in a convection cloud chamber using large-eddy simulations with bin and Lagrangian microphysics schemes (1129591)
Fan Yang, Brookhaven National Laboratory, Upton, NY, United States, Fabian Hoffmann, Ludwig Maximilians University of Munich, Munich, Germany, Raymond A Shaw, Michigan Technological University, Houghton, MI, United States, Mikhail Ovchinnikov, Pacific Northwest National Lab, Richland, WA, United States and Andrew M Vogelmann, Brookhaven Natl Lab, Upton, NY, United States
 
Constraints on CMIP6 Aerosol Sensitivity from the COVID-19 Lockdowns (1130991)
Ruth Digby1, Nathan P Gillett2, Adam H Monahan1 and Knut von Salzen3, (1)University of Victoria, Victoria, BC, Canada, (2)CCCma, Victoria, BC, Canada, (3)CCCma, Environment Canada, Victoria, BC, Canada
 
Exploring the Feasibility of a Single Liquid Category Bulk Microphysics Scheme (1136032)
Arthur Hu1, Adele L Igel2, Hugh Morrison3, Sean Patrick Santos4,5 and Marcus van Lier-Walqui5,6, (1)University of California Davis, Land, Air and Water Resources, Davis, CA, United States, (2)University of California Davis, Land, Air and Water Resources, Davis, United States, (3)NCAR, MMM Laboratory, Boulder, United States, (4)Columbia University, Center for Climate Systems Research, New York, United States, (5)NASA Goddard Institute for Space Studies, New York, United States, (6)Columbia University, Center for Climate Systems Research, New York, NY, United States
 
Constraints on spectral mass extinction efficiency for a global aerosol model (1136429)
Edward J Hyer1, Christopher P Camacho1, James R Campbell2, Peng Xian3, James Chen4, Andrew Lambert5 and Lari McDermid6, (1)Naval Research Lab Monterey, Marine Meteorology, Monterey, CA, United States, (2)Naval Research Laboratory, Monterey, United States, (3)Naval Research Lab, Marine Meteorology Division, Monterey, CA, United States, (4)Kirby School, Santa Cruz, United States, (5)General Dynamics Information Technology, Falls Church, United States, (6)General Dynamics Information Technology, Monterey, United States
 
Evaluating the Modeled Representation of the Asian Summer Monsoon UTLS using Airborne In Situ Observations (1138645)
Warren Smith1, Laura Pan2, Shawn Bryan Honomichl3, Jun Zhang3, Douglas Edward Kinnison4, Simone Tilmes5, Victoria Treadaway6, Elliot L Atlas6, Karina Adcock7, Johannes C. Laube8, Marc von Hobe9, Silvia Viciani10, Francesco D'Amato11, C Michael Volk12 and Fabrizio Ravegnani13, (1)National Center for Atmospheric Research, ACOM, Boulder, CO, United States, (2)NCAR / ACD, Boulder, CO, United States, (3)National Center for Atmospheric Research, Boulder, CO, United States, (4)NCAR, Boulder, CO, United States, (5)National Center for Atmospheric Research, Atmospheric Chemistry, Observations, and Modeling Laboratory, Boulder, CO, United States, (6)University of Miami, Miami, United States, (7)University of East Anglia, Norwich, United Kingdom, (8)University of East Anglia, Norwich, NR4, United Kingdom, (9)Forschungszentrum Juelich, Juelich, Germany, (10)CNR-INO National Institute of Optics, Florence, Italy, (11)Istituto nazionale di Ottica-CNR, Sesto fiorentino, Firenze, Italy, (12)Bergische Univ. Wuppertal, Wuppertal, Germany, (13)Institute of Atmospheric Science and Climate, ISAC-CNR, Rome, Italy
 
Using Modelled Relationships And Satellite Observations To Attribute Modelled Aerosol Biases Over Biomass Burning Regions (1140825)
Nick Schutgens, Vrije Universiteit Amsterdam, Amsterdam, Netherlands, Qirui Zhong, Peking University, Beijing, China and AEROCOM
 
Navy Aerosol Analysis Prediction System Reanalysis Error Propagation for Anthropogenic Air Pollution in Boundary Layer Environments Using Global NASA Airborne Campaign Observations (1157421)
Victoria Lang1, Jeffrey S. Reid2, Peng Xian3, Gao Chen4, Luke D Ziemba5, Michael Shook5, Richard Anthony Ferrare6, Robert Holz7 and Tom Eck8, (1)Northwestern University, Evanston, IL, United States, (2)Marine Meteorology Division, Monterey, CA, United States, (3)Naval Research Lab, Marine Meteorology Division, Monterey, CA, United States, (4)NASA Langley Research Ctr, Hampton, VA, United States, (5)NASA Langley Research Center, Hampton, VA, United States, (6)NASA Langley Research Center, Hampton, United States, (7)UW SSEC, Madison, WI, United States, (8)USRA, Greenbelt, United States
 
Earth System Model Aerosol-Cloud Diagnostics Package (ESMAC Diags): Evaluate Climate Models using Field Measurements from Aircraft, Ship, Surface and Satellite (1158596)
Shuaiqi Tang1, Jerome D Fast2, Adam Varble1, Kai Zhang3 and Po-Lun Ma4, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Pacific Northwest Natl Lab, Richland, WA, United States, (3)Pacific Northwest National Lab, Richland, United States, (4)Pacific Northwest National Laboratory, Richland, United States
 
The CAMP approach: Separating aerosol representation from multiphase chemistry in aerosol models (1160790)
Nicole S Riemer1, Matthew Dawson2, Christian Guzman3, Jeffrey Henry Curtis4, Mario Acosta5, Donald Dabdub6, Shupeng Zhu7, Matthew West8 and Oriol Jorba3, (1)University of Illinois at Urbana Champaign, Atmospheric Sciences, Urbana, United States, (2)National Center for Atmospheric Research, Boulder, United States, (3)Barcelona Supercomputing Center, Barcelona, Spain, (4)University of Illinois, Champaign, IL, United States, (5)Barcelona Supercomputing Center, Earth Sciences, Barcelona, Spain, (6)Univ California Irvine, Irvine, CA, United States, (7)University of California, Irvine, Irvine, United States, (8)University of Illinois at Urbana Champaign, Mechanical Science and Engineering, Urbana, United States
 
The CCPP Framework: a Tool for Unifying Physics Across Earth System Models for Operations, Research, and Development. (1184406)
Michael Kavulich Jr, National Center for Atmospheric Research, Developmental Testbed Center, Boulder, CO, United States, Dom Heinzeller, NOAA Global Systems Laboratory, University of Colorado/CIRES, Boulder, CO, United States; Developmental Testbed Center, Boulder, United States, Grant Firl, NOAA, OAR/GSL, Boulder, United States; Developmental Testbed Center (DTC), Boulder, United States, Ligia Bernardet, NOAA Global System Laboratory, Developmental Testbed Center, Boulder, CO, United States, Man Zhang, NOAA, Global Systems Laboratory, University of Colorado/CIRES, Boulder, United States and Steve Goldhaber, National Center for Atmospheric Research, Boulder, CO, United States
 
Application of a Generalized Hygroscopicity Parameterization for Simulating Aerosol Water Uptake in a Large-scale Atmospheric Model (1185829)
Kanishk Gohil, University of Maryland College Park, College Park, MD, United States, Andrew Gettelman, National Center for Atmospheric Research, Boulder, CO, United States and Akua A Asa-Awuku, University of Maryland College Park, College Park, United States
 
Software Design for the MUlti-Scale Infrastructure for Chemistry and Aerosols (MUSICA) (1193280)
Matthew Dawson1, Mary C Barth2, Louisa K Emmons3, Alma Hodzic4, Gabriele Pfister5, Kyle Shores6, Simone Tilmes7, Francis Vitt4 and Stacy Walters4, (1)National Center for Atmospheric Research, Boulder, United States, (2)Natl Ctr Atmospheric Research, Boulder, CO, United States, (3)National Center for Atmospheric Research (NCAR), Atmospheric Chemistry Observations & Modeling Laboratory (ACOM), Boulder, United States, (4)National Center for Atmospheric Research, Boulder, CO, United States, (5)NCAR/ACD, Boulder, CO, United States, (6)National Center for Atmospheric Research, Atmospheric Chemistry Observations and Modeling Laboratory, Boulder, United States, (7)National Center for Atmospheric Research, Atmospheric Chemistry, Observations, and Modeling Laboratory, Boulder, CO, United States
 
Assessing CMAQ and WRF Performance for Aerosol Chemistry During Persistent Cold Air Pool (PCAP) Events (1200041)
Cam Phelan1, Abi Lawal2, Heather Holmes3 and Cesunica Ivey2, (1)University of California Berkeley, Berkeley, CA, United States, (2)University of California Berkeley, Civil and Environmental Engineering, Berkeley, United States, (3)University of Utah, Department of Chemical Engineering, Salt Lake City, UT, United States
 
Toward acquiring a converged numerical solution of a convective cloud chamber through large-eddy simulations (1201215)
Hyunho Lee1, Eunmi Kim2, Seong Soo Yum3,4 and Sun Choi4, (1)Kongju National University, Gongju, Korea, Republic of (South), (2)Kongju National University, Gongju, South Korea, (3)Yonsei University, Seoul, South Korea, (4)Korea Institute of Science and Technology, Seoul, South Korea
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