GSI‐based ensemble‐variational hybrid data assimilation for HWRF for hurricane initialization and prediction: impact of various error covariances for airborne radar observation assimilation
Abstract
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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Nov 18, 2016
- Source ID
- 10.1002/qj.2914
Entities
People
- Mingjing Tong
- Xu Lu
- Xuguang Wang
- Xulin Ma
- Yongzuo Li
Organizations
- NOAA Environmental Modeling Center
- Nanjing University of Information Science and Technology
- National Natural Science Foundation of China
- National Oceanic and Atmospheric Administration
- Office of Naval Research
- University of Oklahoma