Modeling Dust in East Asia by CESM and Sources of Biases

Wu, Mingxuan; Liu, Xiaohong; Yang, Kang; Luo, Tao; Wang, Zhien; Wu, Chenglai; Zhang, Kai; Yu, Hongbin; Darmenov, Anton S.

doi:10.1029/2019JD030799

Title: Modeling Dust in East Asia by CESM and Sources of Biases

Journal Article · 13 July 2019 · Journal of Geophysical Research: Atmospheres

DOI: https://doi.org/10.1029/2019JD030799 · OSTI ID:1582416

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Univ. of Wyoming, Laramie, WY (United States)
Univ. of Wyoming, Laramie, WY (United States); Univ. of Colorado, Boulder, CO (United States)
Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Atmospheric Science and Global Change Div. (ASGC)
NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)

East Asian dust has a significant impact on regional and global climate. In this study, we evaluate the spatial distributions and temporal variations of dust extinction profiles and dust optical depth (DOD) over East Asia simulated from the Community Earth System Model (CESM) with satellite retrievals from Luo, Wang, Ferrare, et al., Luo, Wang, Zhang, et al. (L15), Yu et al. (Y15), and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) level 3 products. Both L15 and Y15 are based on CALIPSO products but use different algorithms to separate dust from nondust aerosols. We find high model biases of dust extinction in the upper troposphere over the Taklamakan desert, Gobi desert, and Tibetan Plateau, especially in the summer (June-July-August). CESM with dust emission scheme of Kok, Mahowald, et al. and Kok, Albani, et al. has the best agreement with dust extinction profiles and DOD from L15 in the Taklamakan desert and Tibetan Plateau. CESM with the default dust emission scheme of Zender, Bian, and Newman underpredicts DOD in the Tibetan Plateau compared with observations from L15 due to the underestimation of local dust emission. Large uncertainties exist in observations from L15, Y15, and CALIPSO level 3 products and have significant impacts on the model evaluation of dust spatial distributions. We also assess dust surface concentrations and 10-m wind speed with meteorological records from weather stations in the Taklamakan and Gobi deserts during dust events. We note CESM underestimates dust surface concentrations at most weather stations due to the inability of CESM to capture strong surface wind events.

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

Sponsoring Organization:: National Aeronautic and Space Administration (NASA); National Science Foundation (NSF); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21). Scientific Discovery through Advanced Computing (SciDAC)

Grant/Contract Number:: AC05-76RL01830

OSTI ID:: 1582416

Report Number(s):: PNNL-SA--140132

Journal Information:: Journal of Geophysical Research: Atmospheres, Journal Name: Journal of Geophysical Research: Atmospheres Journal Issue: 14 Vol. 124; ISSN 2169-897X

Publisher:: American Geophysical UnionCopyright Statement

Country of Publication:: United States

Language:: English

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dust
model biases

Title: Modeling Dust in East Asia by CESM and Sources of Biases

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