Understanding processes that control dust spatial distributions with global climate models and satellite observations

Wu, Mingxuan; Liu, Xiaohong; Yu, Hongbin; Wang, Hailong; Shi, Yang; Yang, Kang; Darmenov, Anton; Wu, Chenglai; Wang, Zhien; Luo, Tao; Feng, Yan; Ke, Ziming

doi:10.5194/acp-20-13835-2020

Title: Understanding processes that control dust spatial distributions with global climate models and satellite observations

Journal Article · 16 November 2020 · Atmospheric Chemistry and Physics (Online)

DOI: https://doi.org/10.5194/acp-20-13835-2020 · OSTI ID:1725865

^[1]; Liu, Xiaohong ^[2]; Yu, Hongbin ^[3];

^[4];

^[2]; Yang, Kang ^[5]; Darmenov, Anton ^[3];

^[6]; Wang, Zhien ^[5];

^[6];

^[7]; Ke, Ziming ^[2]

Univ. of Wyoming, Laramie, WY (United States); Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Univ. of Wyoming, Laramie, WY (United States); Texas A & M Univ., College Station, TX (United States)
NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Univ. of Colorado, Boulder, CO (United States)
Univ. of Wyoming, Laramie, WY (United States)
Argonne National Lab. (ANL), Argonne, IL (United States)

Dust aerosol is important in modulating the climate system at local and global scales, yet its spatiotemporal distributions simulated by global climate models (GCMs) are highly uncertain. In this study, we evaluate the spatiotemporal variations of dust extinction profiles and dust optical depth (DOD) simulated by the Community Earth System Model version 1 (CESM1) and version 2 (CESM2), the Energy Exascale Earth System Model version 1 (E3SMv1), and the Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) against satellite retrievals from Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), Moderate Resolution Imaging Spectroradiometer (MODIS), and Multi-angle Imaging SpectroRadiometer (MISR). We find that CESM1, CESM2, and E3SMv1 underestimate dust transport to remote regions. E3SMv1 performs better than CESM1 and CESM2 in simulating dust transport and the northern hemispheric DOD due to its higher mass fraction of fine dust. CESM2 performs the worst in the Northern Hemisphere due to its lower dust emission than in the other two models but has a better dust simulation over the Southern Ocean due to the overestimation of dust emission in the Southern Hemisphere. DOD from MERRA-2 agrees well with CALIOP DOD in remote regions due to its higher mass fraction of fine dust and the assimilation of aerosol optical depth. The large disagreements in the dust extinction profiles and DOD among CALIOP, MODIS, and MISR retrievals make the model evaluation of dust spatial distributions challenging. Our study indicates the importance of representing dust emission, dry/wet deposition, and size distribution in GCMs in correctly simulating dust spatiotemporal distributions.

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Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER); National Aeronautic and Space Administration (NASA)

Grant/Contract Number:: AC05-76RL01830; AC02-05CH11231

OSTI ID:: 1725865

Alternate ID(s):: OSTI ID: 1840581

Report Number(s):: PNNL-SA--151334

Journal Information:: Atmospheric Chemistry and Physics (Online), Journal Name: Atmospheric Chemistry and Physics (Online) Journal Issue: 22 Vol. 20; ISSN 1680-7324

Publisher:: European Geosciences UnionCopyright Statement

Country of Publication:: United States

Language:: English

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