Literature DB >> 32637292

Modeling Dust in East Asia by CESM and Sources of Biases.

Mingxuan Wu1, Xiaohong Liu1, Kang Yang1,2, Tao Luo1, Zhien Wang1,2, Chenglai Wu1, Kai Zhang3, Hongbin Yu4, Anton Darmenov4.   

Abstract

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 et al. (2015a, 2015b) (L15), Yu et al. (2015) (Y15), and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) level 3 (CAL-L3) products. Both L15 and Y15 are based on CALIPSO products but use different algorithms to separate dust from non-dust 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, JJA). CESM with dust emission scheme of Kok et al. (2014a, 2014b) 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 et al. (2003a) 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 CAL-L3 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. CESM underestimates dust surface concentrations at most weather stations due to the inability of CESM to capture strong surface wind events.

Entities:  

Year:  2019        PMID: 32637292      PMCID: PMC7340102          DOI: 10.1029/2019JD030799

Source DB:  PubMed          Journal:  J Geophys Res Atmos        ISSN: 2169-897X            Impact factor:   4.261


  1 in total

1.  The role of particulate matter in reduced visibility and anionic composition of winter fog: a case study for Amritsar city.

Authors:  Rekha Yadav; Aditi Sugha; Manpreet S Bhatti; Sushil K Kansal; Sudhir K Sharma; Tuhin K Mandal
Journal:  RSC Adv       Date:  2022-04-11       Impact factor: 3.361

  1 in total

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