气候变化领域集成服务门户(CCPortal): Aerosol data assimilation using data from Fengyun-4A, a next-generation geostationary meteorological satellite

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DOI	10.1016/j.atmosenv.2020.117695
	Aerosol data assimilation using data from Fengyun-4A, a next-generation geostationary meteorological satellite
	Xia X.; Min J.; Shen F.; Wang Y.; Xu D.; Yang C.; Zhang P.
发表日期	2020
ISSN	13522310
卷号	237
英文摘要	The Fengyun-4A (FY-4A) meteorological satellite, a next-generation geostationary meteorological satellite, was launched on December 11, 2016. For instance, the Advanced Geosynchronous Radiation Imager (AGRI) aboard FY-4A (AGRI/FY-4A) takes full-disk images at a 15-min interval in 14 spectral bands with the 0.5–4-km resolution. Here we developed data assimilation system based on the Gridpoint Statistical Interpolation (GSI) system in which the Aerosol Optical Depth (AOD) derived from FY-4A data were successfully assimilated for the first time. The capability to assimilate FY-4A Aerosol optical depth (AOD) with an hourly cycling configuration was then evaluated by a dust storm over East Asia during 12–14 May 2019. The analyses initialized Weather Research and Forecasting-Chemistry (WRF-Chem) model forecasts. The system is tested with FY-4 AOD, Himawari-8 AOD in experiments and then the results are compared to the Aerosol Robotic Network (AERONET) AOD observations, which serving as the independent observations. The results indicated that assimilating FY-4 AOD substantially showed much better agreement with observations than those from the control. Furthermore, the Bias and RMSE generally reduced about 20% with forecast range. This study indicates that the aerosol data assimilation using data from FY-4A can be used to improve the performance of forecast model. © 2020 Elsevier Ltd
英文关键词	Aerosol optical depth; Data assimilation; Dust storm; Fengyun-4 satellite
语种	英语
scopus关键词	Aerosols; Chemical analysis; Geostationary satellites; Optical properties; Storms; Aerosol optical depths; Aerosol robotic networks; Data assimilation; Data assimilation systems; Geostationary meteorological satellites; Model forecasts; Statistical interpolation; Weather research and forecasting; Weather forecasting; aerosol; data assimilation; dust storm; FengYun; geostationary satellite; optical depth; satellite data; aerosol; article; Asia; dust storm; forecasting; optical depth; Far East
来源期刊	Atmospheric Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/153018
作者单位	Key Laboratory of Meteorological Disaster of Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing, China; National Satellite Meteorological Center, China Meteorological Administration, Beijing, China
推荐引用方式 GB/T 7714	Xia X.,Min J.,Shen F.,et al. Aerosol data assimilation using data from Fengyun-4A, a next-generation geostationary meteorological satellite[J],2020,237.
APA	Xia X..,Min J..,Shen F..,Wang Y..,Xu D..,...&Zhang P..(2020).Aerosol data assimilation using data from Fengyun-4A, a next-generation geostationary meteorological satellite.Atmospheric Environment,237.
MLA	Xia X.,et al."Aerosol data assimilation using data from Fengyun-4A, a next-generation geostationary meteorological satellite".Atmospheric Environment 237(2020).