气候变化领域集成服务门户(CCPortal): Assimilation of GPM Microwave Imager Radiance data with the WRF hybrid 3DEnVar system for the prediction of Typhoon Chan-hom (2015)

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DOI	10.1016/j.atmosres.2020.105422
	Assimilation of GPM Microwave Imager Radiance data with the WRF hybrid 3DEnVar system for the prediction of Typhoon Chan-hom (2015)
	Shen F.; Xu D.; Li H.; Min J.; Liu R.
发表日期	2021
ISSN	0169-8095
卷号	251
英文摘要	The impact of assimilating radiances from the global satellite precipitation program (GPM) Microwave Imager (GMI) on the track prediction of typhoon Chan-hom was studied with a hybrid three-dimensional ensemble-variational (3DEnVar) data assimilation (DA) system. It is found that the data assimilation of clear-sky GMI radiance is able to depict the structure of typhoon well by warming the typhoon inner core area. The bias correction coefficients obtained by the off-line model along with the variational bias correction method can reduce the bias. GMI radiance data assimilation experiment can effectively adjust the core area of Typhoon “Chan-hom” and systematically correct the typhoon position in the background of the model. The sensitivity of the hybrid 3DEnVar DA behaviors on the choice of the ensemble members is also investigated. Results show that the 3DEnVar Global Ensemble Forecast System (3DEnVar_GEFS)-based ensemble spread is essentially dominated in the vicinity of Typhoon Chan-hom, which is less disturbed by random errors. In general, the track forecasts from 3DEnVar_RCV match better with the best track by adding Gaussian noise randomly based on the background error than those from the 3DVAR, and 3DEnVar_GEFS. © 2020 Elsevier B.V.
英文关键词	Data assimilation; Ensemble member; GMI radiance; Typhoon
语种	英语
scopus关键词	Forecasting; Gaussian noise (electronic); Random errors; Background errors; Bias-correction methods; Data assimilation; Ensemble forecast systems; Ensemble members; GPM Microwave Imager; Microwave imagers; Satellite precipitation; Hurricanes; clear sky; data assimilation; ensemble forecasting; microwave imagery; prediction; radiance; typhoon; weather forecasting
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/162216
作者单位	Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing, 210044, China; Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu, 610225, China; The Institute of Atmospheric Environment, China Meteorological Administration, Shenyang, 110000, China; Shanghai Typhoon Institute, China Meteorological Administration, Shanghai, 200030, China; Key Laboratory of Radiometric Calibration and Validation for Environmental Satellite, China Meteorological Administration, National Satellite Meteorological Center, Beijing, 100081, China
推荐引用方式 GB/T 7714	Shen F.,Xu D.,Li H.,et al. Assimilation of GPM Microwave Imager Radiance data with the WRF hybrid 3DEnVar system for the prediction of Typhoon Chan-hom (2015)[J],2021,251.
APA	Shen F.,Xu D.,Li H.,Min J.,&Liu R..(2021).Assimilation of GPM Microwave Imager Radiance data with the WRF hybrid 3DEnVar system for the prediction of Typhoon Chan-hom (2015).Atmospheric Research,251.
MLA	Shen F.,et al."Assimilation of GPM Microwave Imager Radiance data with the WRF hybrid 3DEnVar system for the prediction of Typhoon Chan-hom (2015)".Atmospheric Research 251(2021).