气候变化领域集成服务门户(CCPortal): Dust Emission Inversion Using Himawari-8 AODs Over East Asia: An Extreme Dust Event in May 2017

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DOI	10.1029/2018MS001491
	Dust Emission Inversion Using Himawari-8 AODs Over East Asia: An Extreme Dust Event in May 2017
	Jin J.; Segers A.; Heemink A.; Yoshida M.; Han W.; Lin H.-X.
发表日期	2019
ISSN	19422466
起始页码	446
结束页码	467
卷号	11 期号:2
英文摘要	Aerosol optical depths (AODs) from the new Himawari-8 satellite instrument have been assimilated in a dust simulation model over East Asia. This advanced geostationary instrument is capable of monitoring the East Asian dust storms which usually have great spatial and temporal variability. The quality of the data has been verified through a comparison with AErosol RObotic NETwork AODs. This study focuses on extreme dust events only when dust aerosols are dominant; promising results are obtained in AOD assimilation experiments during a case in May 2017. The dust emission fields that drive the simulation model are strongly improved by the inverse modeling, and consequently, the simulated dust concentrations are in better agreements with the observed AOD as well as ground-based observations of PM 10 . However, some satellite AODs show significant inconsistence with the simulations and the PM 10 and AErosol RObotic NETwork observations, which might arise from retrieval errors over a partially clouded scene. The data assimilation procedure therefore includes a screening method to exclude these observations in order to avoid unrealistic results. A dust mask screening method is designed, which is based on selecting only those observations where the deterministic model produces a substantial amount of dust. This screen algorithm is tested to give more accurate result compared to the traditional method based on background covariance in the case study. Note that our screen method would exclude valuable information in case the model is not able to simulate the dust plume shape correctly; hence, applications in related studies require inspections of simulations and observations by user. ©2019. The Authors.
英文关键词	data assimilation; dust mask; dust storm; Himawari-8 AOD; observation selection
语种	英语
scopus关键词	Aerosols; Digital storage; Geostationary satellites; Inverse problems; Robotics; Storms; Aerosol optical depths; Aerosol robotic networks; Data assimilation; Dust storm; Ground-based observations; Himawari-8 AOD; Observation selection; Spatial and temporal variability; Dust; AERONET; algorithm; data assimilation; dust; instrumentation; optical depth; particulate matter; simulation; spatiotemporal analysis; Far East
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156956
作者单位	Delft Institute of Applied Mathematics, Delft University of Technology, Delft, Netherlands; Department of Climate, Air and Sustainability, TNO, Utrecht, Netherlands; Earth Observation Research Center, Japan Aerospace Exploration Agency, Tsukuba, Japan; Numerical Weather Prediction Center, Chinese Meteorological Administration, Beijing, China
推荐引用方式 GB/T 7714	Jin J.,Segers A.,Heemink A.,et al. Dust Emission Inversion Using Himawari-8 AODs Over East Asia: An Extreme Dust Event in May 2017[J],2019,11(2).
APA	Jin J.,Segers A.,Heemink A.,Yoshida M.,Han W.,&Lin H.-X..(2019).Dust Emission Inversion Using Himawari-8 AODs Over East Asia: An Extreme Dust Event in May 2017.Journal of Advances in Modeling Earth Systems,11(2).
MLA	Jin J.,et al."Dust Emission Inversion Using Himawari-8 AODs Over East Asia: An Extreme Dust Event in May 2017".Journal of Advances in Modeling Earth Systems 11.2(2019).