Earth System Model Aerosol–Cloud Diagnostics (ESMAC Diags) package, version 2: assessing aerosols, clouds, and aerosol–cloud interactions via field campaign and long-term observations

Poor representations of aerosols, clouds, and aerosol–cloud interactions (ACIs) in Earth system models (ESMs) have long been the largest uncertainties in predicting global climate change. Huge efforts have been made to improve the representation of these processes in ESMs, and the key to these effor...

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Published in:Geoscientific Model Development
Main Authors: Tang, Shuaiqi, Varble, Adam C., Fast, Jerome D., Zhang, Kai, Wu, Peng, Dong, Xiquan, Mei, Fan, Pekour, Mikhail, Hardin, Joseph C., Ma, Po-Lun
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2023
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Online Access:https://doi.org/10.5194/gmd-16-6355-2023
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00069760 2023-12-10T09:51:47+01:00 Earth System Model Aerosol–Cloud Diagnostics (ESMAC Diags) package, version 2: assessing aerosols, clouds, and aerosol–cloud interactions via field campaign and long-term observations Tang, Shuaiqi Varble, Adam C. Fast, Jerome D. Zhang, Kai Wu, Peng Dong, Xiquan Mei, Fan Pekour, Mikhail Hardin, Joseph C. Ma, Po-Lun 2023-11 electronic https://doi.org/10.5194/gmd-16-6355-2023 https://noa.gwlb.de/receive/cop_mods_00069760 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00068131/gmd-16-6355-2023.pdf https://gmd.copernicus.org/articles/16/6355/2023/gmd-16-6355-2023.pdf eng eng Copernicus Publications Geoscientific Model Development -- http://www.bibliothek.uni-regensburg.de/ezeit/?2456725 -- http://www.geosci-model-dev.net/ -- 1991-9603 https://doi.org/10.5194/gmd-16-6355-2023 https://noa.gwlb.de/receive/cop_mods_00069760 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00068131/gmd-16-6355-2023.pdf https://gmd.copernicus.org/articles/16/6355/2023/gmd-16-6355-2023.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2023 ftnonlinearchiv https://doi.org/10.5194/gmd-16-6355-2023 2023-11-13T00:22:47Z Poor representations of aerosols, clouds, and aerosol–cloud interactions (ACIs) in Earth system models (ESMs) have long been the largest uncertainties in predicting global climate change. Huge efforts have been made to improve the representation of these processes in ESMs, and the key to these efforts is the evaluation of ESM simulations with observations. Most well-established ESM diagnostics packages focus on the climatological features; however, they lack process-level understanding and representations of aerosols, clouds, and ACIs. In this study, we developed the Earth System Model Aerosol–Cloud Diagnostics (ESMAC Diags) package to facilitate the routine evaluation of aerosols, clouds, and ACIs simulated the Energy Exascale Earth System Model (E3SM) from the US Department of Energy (DOE). This paper documents its version 2 functionality (ESMAC Diags v2), which has substantial updates compared with version 1 (Tang et al., 2022a). The simulated aerosol and cloud properties have been extensively compared with in situ and remote-sensing measurements from aircraft, ship, surface, and satellite platforms in ESMAC Diags v2. It currently includes six field campaigns and two permanent sites covering four geographical regions: the eastern North Atlantic, the central US, the northeastern Pacific, and the Southern Ocean. These regions produce frequent liquid- or mixed-phase clouds, with extensive measurements available from the DOE Atmospheric Radiation Measurement user facility and other agencies. ESMAC Diags v2 generates various types of single-variable and multivariable diagnostics, including percentiles, histograms, joint histograms, and heatmaps, to evaluate the model representation of aerosols, clouds, and ACIs. Select examples highlighting the capabilities of ESMAC Diags are shown using E3SM version 2 (E3SMv2). In general, E3SMv2 can reasonably reproduce many observed aerosol and cloud properties, with biases in some variables such as aerosol particle and cloud droplet sizes and number concentrations. The ... Article in Journal/Newspaper North Atlantic Southern Ocean Niedersächsisches Online-Archiv NOA Southern Ocean Pacific Geoscientific Model Development 16 21 6355 6376
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Tang, Shuaiqi
Varble, Adam C.
Fast, Jerome D.
Zhang, Kai
Wu, Peng
Dong, Xiquan
Mei, Fan
Pekour, Mikhail
Hardin, Joseph C.
Ma, Po-Lun
Earth System Model Aerosol–Cloud Diagnostics (ESMAC Diags) package, version 2: assessing aerosols, clouds, and aerosol–cloud interactions via field campaign and long-term observations
topic_facet article
Verlagsveröffentlichung
description Poor representations of aerosols, clouds, and aerosol–cloud interactions (ACIs) in Earth system models (ESMs) have long been the largest uncertainties in predicting global climate change. Huge efforts have been made to improve the representation of these processes in ESMs, and the key to these efforts is the evaluation of ESM simulations with observations. Most well-established ESM diagnostics packages focus on the climatological features; however, they lack process-level understanding and representations of aerosols, clouds, and ACIs. In this study, we developed the Earth System Model Aerosol–Cloud Diagnostics (ESMAC Diags) package to facilitate the routine evaluation of aerosols, clouds, and ACIs simulated the Energy Exascale Earth System Model (E3SM) from the US Department of Energy (DOE). This paper documents its version 2 functionality (ESMAC Diags v2), which has substantial updates compared with version 1 (Tang et al., 2022a). The simulated aerosol and cloud properties have been extensively compared with in situ and remote-sensing measurements from aircraft, ship, surface, and satellite platforms in ESMAC Diags v2. It currently includes six field campaigns and two permanent sites covering four geographical regions: the eastern North Atlantic, the central US, the northeastern Pacific, and the Southern Ocean. These regions produce frequent liquid- or mixed-phase clouds, with extensive measurements available from the DOE Atmospheric Radiation Measurement user facility and other agencies. ESMAC Diags v2 generates various types of single-variable and multivariable diagnostics, including percentiles, histograms, joint histograms, and heatmaps, to evaluate the model representation of aerosols, clouds, and ACIs. Select examples highlighting the capabilities of ESMAC Diags are shown using E3SM version 2 (E3SMv2). In general, E3SMv2 can reasonably reproduce many observed aerosol and cloud properties, with biases in some variables such as aerosol particle and cloud droplet sizes and number concentrations. The ...
format Article in Journal/Newspaper
author Tang, Shuaiqi
Varble, Adam C.
Fast, Jerome D.
Zhang, Kai
Wu, Peng
Dong, Xiquan
Mei, Fan
Pekour, Mikhail
Hardin, Joseph C.
Ma, Po-Lun
author_facet Tang, Shuaiqi
Varble, Adam C.
Fast, Jerome D.
Zhang, Kai
Wu, Peng
Dong, Xiquan
Mei, Fan
Pekour, Mikhail
Hardin, Joseph C.
Ma, Po-Lun
author_sort Tang, Shuaiqi
title Earth System Model Aerosol–Cloud Diagnostics (ESMAC Diags) package, version 2: assessing aerosols, clouds, and aerosol–cloud interactions via field campaign and long-term observations
title_short Earth System Model Aerosol–Cloud Diagnostics (ESMAC Diags) package, version 2: assessing aerosols, clouds, and aerosol–cloud interactions via field campaign and long-term observations
title_full Earth System Model Aerosol–Cloud Diagnostics (ESMAC Diags) package, version 2: assessing aerosols, clouds, and aerosol–cloud interactions via field campaign and long-term observations
title_fullStr Earth System Model Aerosol–Cloud Diagnostics (ESMAC Diags) package, version 2: assessing aerosols, clouds, and aerosol–cloud interactions via field campaign and long-term observations
title_full_unstemmed Earth System Model Aerosol–Cloud Diagnostics (ESMAC Diags) package, version 2: assessing aerosols, clouds, and aerosol–cloud interactions via field campaign and long-term observations
title_sort earth system model aerosol–cloud diagnostics (esmac diags) package, version 2: assessing aerosols, clouds, and aerosol–cloud interactions via field campaign and long-term observations
publisher Copernicus Publications
publishDate 2023
url https://doi.org/10.5194/gmd-16-6355-2023
https://noa.gwlb.de/receive/cop_mods_00069760
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00068131/gmd-16-6355-2023.pdf
https://gmd.copernicus.org/articles/16/6355/2023/gmd-16-6355-2023.pdf
geographic Southern Ocean
Pacific
geographic_facet Southern Ocean
Pacific
genre North Atlantic
Southern Ocean
genre_facet North Atlantic
Southern Ocean
op_relation Geoscientific Model Development -- http://www.bibliothek.uni-regensburg.de/ezeit/?2456725 -- http://www.geosci-model-dev.net/ -- 1991-9603
https://doi.org/10.5194/gmd-16-6355-2023
https://noa.gwlb.de/receive/cop_mods_00069760
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00068131/gmd-16-6355-2023.pdf
https://gmd.copernicus.org/articles/16/6355/2023/gmd-16-6355-2023.pdf
op_rights https://creativecommons.org/licenses/by/4.0/
uneingeschränkt
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5194/gmd-16-6355-2023
container_title Geoscientific Model Development
container_volume 16
container_issue 21
container_start_page 6355
op_container_end_page 6376
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