Improved Dust Representation and Impacts on Dust Transport and Radiative Effect in CAM5

Abstract Dust transport and spatial distribution are poorly represented in current global climate models (GCMs) including the Community Atmosphere Model version 5 (CAM5). Particularly, models lack explicit representation of super‐coarse dust, which may have important implications for dust radiative...

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Main Authors: Ziming Ke, Xiaohong Liu, Mingxuan Wu, Yunpeng Shan, Yang Shi
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2022-07-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
Online Access:https://doi.org/10.1029/2021MS002845
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author Ziming Ke
Xiaohong Liu
Mingxuan Wu
Yunpeng Shan
Yang Shi
author_facet Ziming Ke
Xiaohong Liu
Mingxuan Wu
Yunpeng Shan
Yang Shi
author_sort Ziming Ke
collection DOAJ
description Abstract Dust transport and spatial distribution are poorly represented in current global climate models (GCMs) including the Community Atmosphere Model version 5 (CAM5). Particularly, models lack explicit representation of super‐coarse dust, which may have important implications for dust radiative forcing and impacts on biogeochemistry. A nine‐mode version of the modal aerosol model (MAM9) has been developed to address these issues. In this new aerosol scheme, four dust modes have been designed to treat dust particles of sizes up to 20 μm. The MAM9‐simulated results are compared with those from the default four‐mode version of MAM (MAM4) and also with the in situ surface measurements of dust concentration and deposition flux, satellite‐retrieved dust extinction profile, and in situ vertical measurements of dust concentrations from the NASA Atmosphere Tomography Mission (ATom). Overall, MAM9 improves the dust representation in remote regions while maintaining reasonably good results near the dust source regions. In addition, MAM9 reduces the fine dust burden and increases the coarse dust burden globally. The increased coarse dust burden has slightly increased the dust direct radiative effect by 0.01 W m−2 while it enhanced dust indirect radiative effect by 0.36 W m−2, globally.
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spelling doaj.art-27a8a61c5b2544f8b5b07de686f21fa12022-12-22T03:08:33ZengAmerican Geophysical Union (AGU)Journal of Advances in Modeling Earth Systems1942-24662022-07-01147n/an/a10.1029/2021MS002845Improved Dust Representation and Impacts on Dust Transport and Radiative Effect in CAM5Ziming Ke0Xiaohong Liu1Mingxuan Wu2Yunpeng Shan3Yang Shi4Department of Atmospheric Sciences Texas A&M University College Station TX USADepartment of Atmospheric Sciences Texas A&M University College Station TX USAAtmospheric Sciences and Global Change Division Pacific Northwest National Laboratory Richland WA USAAtmospheric Sciences and Global Change Division Pacific Northwest National Laboratory Richland WA USADepartment of Atmospheric Sciences Texas A&M University College Station TX USAAbstract Dust transport and spatial distribution are poorly represented in current global climate models (GCMs) including the Community Atmosphere Model version 5 (CAM5). Particularly, models lack explicit representation of super‐coarse dust, which may have important implications for dust radiative forcing and impacts on biogeochemistry. A nine‐mode version of the modal aerosol model (MAM9) has been developed to address these issues. In this new aerosol scheme, four dust modes have been designed to treat dust particles of sizes up to 20 μm. The MAM9‐simulated results are compared with those from the default four‐mode version of MAM (MAM4) and also with the in situ surface measurements of dust concentration and deposition flux, satellite‐retrieved dust extinction profile, and in situ vertical measurements of dust concentrations from the NASA Atmosphere Tomography Mission (ATom). Overall, MAM9 improves the dust representation in remote regions while maintaining reasonably good results near the dust source regions. In addition, MAM9 reduces the fine dust burden and increases the coarse dust burden globally. The increased coarse dust burden has slightly increased the dust direct radiative effect by 0.01 W m−2 while it enhanced dust indirect radiative effect by 0.36 W m−2, globally.https://doi.org/10.1029/2021MS002845atmospheric aerosolsmineral dustCESMCAMclimate model
spellingShingle Ziming Ke
Xiaohong Liu
Mingxuan Wu
Yunpeng Shan
Yang Shi
Improved Dust Representation and Impacts on Dust Transport and Radiative Effect in CAM5
Journal of Advances in Modeling Earth Systems
atmospheric aerosols
mineral dust
CESM
CAM
climate model
title Improved Dust Representation and Impacts on Dust Transport and Radiative Effect in CAM5
title_full Improved Dust Representation and Impacts on Dust Transport and Radiative Effect in CAM5
title_fullStr Improved Dust Representation and Impacts on Dust Transport and Radiative Effect in CAM5
title_full_unstemmed Improved Dust Representation and Impacts on Dust Transport and Radiative Effect in CAM5
title_short Improved Dust Representation and Impacts on Dust Transport and Radiative Effect in CAM5
title_sort improved dust representation and impacts on dust transport and radiative effect in cam5
topic atmospheric aerosols
mineral dust
CESM
CAM
climate model
url https://doi.org/10.1029/2021MS002845
work_keys_str_mv AT zimingke improveddustrepresentationandimpactsondusttransportandradiativeeffectincam5
AT xiaohongliu improveddustrepresentationandimpactsondusttransportandradiativeeffectincam5
AT mingxuanwu improveddustrepresentationandimpactsondusttransportandradiativeeffectincam5
AT yunpengshan improveddustrepresentationandimpactsondusttransportandradiativeeffectincam5
AT yangshi improveddustrepresentationandimpactsondusttransportandradiativeeffectincam5