GSI-based ensemble-variational hybrid data assimilation for HWRF for hurricane initialization and prediction: impact of various error covariances for airborne radar observation assimilation
详细信息 查看全文
- 作者：Xu Lu ; Xuguang Wang ; Yongzuo Li ; Mingjing Tong and Xulin Ma
- 刊名：Quarterly Journal of the Royal Meteorological Society
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：143
- 期：702
- 页码：223-239
- 全文大小：8333K
- ISSN：1477-870X
文摘
The hybrid Ensemble Kalman Filter - Variational (EnKF-Var) data assimilation (DA) system based on Grid-point Statistical Interpolation (GSI) is extended for the Hurricane-WRF model (HWRF). Background ensemble forecasts initialized by the EnKF are used to provide the flow-dependent error covariance to be ingested by GSI using the extended control variable method. The hybrid system is then applied to assimilate airborne radar data.