TY - JOUR
T1 - Impacts of varying concentrations of cloud condensation nuclei on deep convective cloud updrafts a multimodel assessment
AU - Marinescu, Peter J.
AU - Van Den Heever, Susan C.
AU - Heikenfeld, Max
AU - Barrett, Andrew I.
AU - Barthlott, Christian
AU - Hoose, Corinna
AU - Fan, Jiwen
AU - Fridlind, Ann M.
AU - Matsui, Toshi
AU - Miltenberger, Annette K.
AU - Stier, Philip
AU - Vie, Benoit
AU - White, Bethan A.
AU - Zhang, Yuwei
N1 - Funding Information:
through the cooperation of the Integrated Land Ecosystem– Atmosphere Processes Study, International Global Atmospheric Chemistry and Global Energy and Water Cycle Experiment. We would like to acknowledge Johannes Quaas and Daniel Rosenfeld for leading ACPC during the time of this work, as well as Meinrat Andreae for assisting with the data used for the aerosol initialization. We would also like to acknowledge the U.K. CEDA JASMIN which provided the data storage and computational resources for these simulations and their analysis. PJM and SCV were supported by NASA Grant 80NSSC18K0149. The RAMS simulations were conducted on the NSF Cheyenne supercomputer, supported by the NSF Graduate Research Fellowship Program (NSF Grant DGE-1840343). PS and MH acknowledge support from the European 330 Union’s Seventh Framework Programme (FP7/2007-2013)/ERC Grant Agreement FP7-280025 (ACCLAIM), from the European Union’s Seventh Framework Programme (FP7/2007-2013) Project BACCHUS under Grant Agreement 603445, and as well as by the European Research Council (ERC) project (RECAP) under the European Union’s Horizon 2020 research and innovation program with Grant Agreement 724602. For the UM simulations, AKM acknowledges use of the Monsoon2 system, a collaborative facility supplied under the Joint Weather and Climate Research Programme, a strategic partnership between the Met Office and the Natural Environment Research Council. AMF and TM were supported by the Office of Science (BER), U.S. Department of Energy, under Agreements DE-SC0006988 and DE-SC0016237, and by the NASA Modeling, Analysis and Prediction program, and resources supporting their work were provided by the NASA High-End Computing Program through the NASA Advanced Supercomputing Division at NASA Ames. The COSMO simulations at KIT were performed on the supercomputer ForHLR funded by the Ministry of Science, Research and the Arts Baden-Württemberg and by the Federal Ministry of Education and Research.
Publisher Copyright:
© 2021 American Meteorological Society. All rights reserved.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/3
Y1 - 2021/3
N2 - This study presents results from a model intercomparison project, focusing on the range of responses in deep convective cloud updrafts to varying cloud condensation nuclei (CCN) concentrations among seven state-of-The-Art cloudresolving models. Simulations of scattered convective clouds near Houston, Texas, are conducted, after being initialized with both relatively low and high CCN concentrations. Deep convective updrafts are identified, and trends in the updraft intensity and frequency are assessed. The factors contributing to the vertical velocity tendencies are examined to identify the physical processes associated with the CCN-induced updraft changes. The models show several consistent trends. In general, the changes between theHigh-CCNandLow-CCNsimulations in updraftmagnitudes throughout the depth of the troposphere are within 15%for all of themodels.Allmodels produce stronger (;15% 15%)mean updrafts from;4 7 kmabove ground level (AGL) in the High-CCN simulations, followed by a waning response up to ;8 km AGL in most of the models. Thermal buoyancy was more sensitive than condensate loading to varying CCN concentrations in most of the models and more impactful in the mean updraft responses. However, there are also differences between the models. The change in the amount of deep convective updrafts varies significantly. Furthermore, approximately half the models demonstrate neutral-To-weaker (;25% to 0%) updrafts above ;8 km AGL, while the other models show stronger (;110%) updrafts in the High-CCN simulations. The combination of the CCN-induced impacts on the buoyancy and vertical perturbation pressure gradient terms better explains these middle-and upper-Tropospheric updraft trends than the buoyancy terms alone.
AB - This study presents results from a model intercomparison project, focusing on the range of responses in deep convective cloud updrafts to varying cloud condensation nuclei (CCN) concentrations among seven state-of-The-Art cloudresolving models. Simulations of scattered convective clouds near Houston, Texas, are conducted, after being initialized with both relatively low and high CCN concentrations. Deep convective updrafts are identified, and trends in the updraft intensity and frequency are assessed. The factors contributing to the vertical velocity tendencies are examined to identify the physical processes associated with the CCN-induced updraft changes. The models show several consistent trends. In general, the changes between theHigh-CCNandLow-CCNsimulations in updraftmagnitudes throughout the depth of the troposphere are within 15%for all of themodels.Allmodels produce stronger (;15% 15%)mean updrafts from;4 7 kmabove ground level (AGL) in the High-CCN simulations, followed by a waning response up to ;8 km AGL in most of the models. Thermal buoyancy was more sensitive than condensate loading to varying CCN concentrations in most of the models and more impactful in the mean updraft responses. However, there are also differences between the models. The change in the amount of deep convective updrafts varies significantly. Furthermore, approximately half the models demonstrate neutral-To-weaker (;25% to 0%) updrafts above ;8 km AGL, while the other models show stronger (;110%) updrafts in the High-CCN simulations. The combination of the CCN-induced impacts on the buoyancy and vertical perturbation pressure gradient terms better explains these middle-and upper-Tropospheric updraft trends than the buoyancy terms alone.
KW - Aerosol indirect effect
KW - Aerosol-cloud interaction
KW - Cloud microphysics
KW - Cloud resolving models
KW - Convective-scale processes
KW - Model comparison
KW - Updrafts/downdrafts
UR - http://www.scopus.com/inward/record.url?scp=85105024311&partnerID=8YFLogxK
U2 - 10.1175/JAS-D-20-0200.1
DO - 10.1175/JAS-D-20-0200.1
M3 - Article
AN - SCOPUS:85105024311
SN - 0022-4928
VL - 78
SP - 1147
EP - 1172
JO - Journal of the Atmospheric Sciences
JF - Journal of the Atmospheric Sciences
IS - 4
ER -