气候变化领域集成服务门户(CCPortal): Assimilation of MWHS and MWTS radiance data from the FY-3A satellite with the POD-3DEnVar method for forecasting heavy rainfall

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DOI	10.1016/j.atmosres.2018.12.023
	Assimilation of MWHS and MWTS radiance data from the FY-3A satellite with the POD-3DEnVar method for forecasting heavy rainfall
	Zhang M.; Zhang L.; Zhang B.; Guan J.; You W.
发表日期	2019
ISSN	0169-8095
起始页码	95
结束页码	105
卷号	219
英文摘要	An ensemble three-dimensional variational assimilation method based on Proper Orthogonal Decomposition (referred to as POD-3DEnVar) can not only provide flow-dependent covariances through the evolving ensemble of short-range forecasts, but also obtain directly the analysis field without an iterative process. Using the POD-3DEnVar method, a regional hybrid variational ensemble data assimilation system (referred to as POD-HVEDAS) is constructed with the Community Radiative Transfer Model (CRTM) as the observation operator. Observations from Microwave Humidity Sounder (MWHS) and Microwave Temperature Sounder (MWTS) onboard Fengyun-3A are simultaneously assimilated into the Weather Research and Forecasting (WRF) model by the POD-HVEDAS. Bias correction and quality control schemes for MWHS and MWTS microwave radiance are applied in the system. Three experiments (Con, Hybrid-DA, and POD-DA) are designed to investigate the assimilation ability of the POD-HVEDAS for heavy rainfall over the Yangtze River. The assimilation effects of POD-3DEnVar and WRFDA-Hybrid assimilation method are compared. The results show that the POD-HVEDAS can assimilate MWHS and MWTS microwave radiance effectively, and give a better precipitation forecast than that of the WRFDA-Hybrid method. And it is found that the assimilation increments of both POD-3DEnVar and WRFDA-Hybrid methods all show flow dependent characteristic. However, the improvements in the background wind, temperature and humidity fields by the POD-DA experiment are more obvious than those of the Hybrid-DA experiment, which play key roles in improving the accuracy of precipitation forecast. These promising results suggest initiulizing limited-area models with POD-3DEnVar method that assimilate microwave radiances is beneficial. In the future, POD-3DEnVar method will be used to study multiple cases to fully assess the robustness of POD-HVEDAS. © 2018
英文关键词	MWHS and MWTS; POD-3DEnVar; Rainfall forecast; Satellite radiance data assimilation; WRF
语种	英语
scopus关键词	Iterative methods; Microwave acoustic devices; Microwaves; Principal component analysis; Quality control; Radiative transfer; Rain; Community radiative transfer models; MWHS and MWTS; POD-3DEnVar; Proper orthogonal decompositions; Radiance data; Rainfall forecasts; Temperature and humidities; Weather research and forecasting models; Weather forecasting; accuracy assessment; correction; data assimilation; precipitation intensity; quality control; radiance; satellite data; 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/162330
作者单位	College of Meteorology and Oceanography, National University of Defense Technology, Nanjing, 211101, China; Unit 61741 of PLA, Beijing, 100094, China
推荐引用方式 GB/T 7714	Zhang M.,Zhang L.,Zhang B.,et al. Assimilation of MWHS and MWTS radiance data from the FY-3A satellite with the POD-3DEnVar method for forecasting heavy rainfall[J],2019,219.
APA	Zhang M.,Zhang L.,Zhang B.,Guan J.,&You W..(2019).Assimilation of MWHS and MWTS radiance data from the FY-3A satellite with the POD-3DEnVar method for forecasting heavy rainfall.Atmospheric Research,219.
MLA	Zhang M.,et al."Assimilation of MWHS and MWTS radiance data from the FY-3A satellite with the POD-3DEnVar method for forecasting heavy rainfall".Atmospheric Research 219(2019).