DOI: 10.1016/j.atmosres.2018.12.023
Scopus记录号: 2-s2.0-85059416539
论文题名: Assimilation of MWHS and MWTS radiance data from the FY-3A satellite with the POD-3DEnVar method for forecasting heavy rainfall
作者: Zhang M. ; Zhang L. ; Zhang B. ; Guan J. ; You W.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2019
卷: 219 起始页码: 95
结束页码: 105
语种: 英语
英文关键词: MWHS and MWTS
; POD-3DEnVar
; Rainfall forecast
; Satellite radiance data assimilation
; WRF
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
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 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/122319
Appears in Collections: 气候变化事实与影响
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作者单位: College of Meteorology and Oceanography, National University of Defense Technology, Nanjing, 211101, China; Unit 61741 of PLA, Beijing, 100094, China
Recommended Citation:
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]. Atmospheric Research,2019-01-01,219