Direct Assimilation of Radar Data With Ensemble Kalman Filter and Hybrid Ensemble‐Variational Method in the National Weather Service Operational Data Assimilation System GSI for the Stand‐Alone Regional FV3 Model at a Convection‐Allowing Resolution
Author:
Affiliation:
1. Center for Analysis and Prediction of Storms University of Oklahoma Norman OK USA
2. School of Meteorology University of Oklahoma Norman OK USA
3. Now at Office of Science and Technology Integration NWS, NOAA Silver Spring MD USA
Funder
National Oceanic and Atmospheric Administration
Publisher
American Geophysical Union (AGU)
Subject
General Earth and Planetary Sciences,Geophysics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020GL090179
Reference39 articles.
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4. Brewster K. Hu M. Xue M. &Gao J.(2005). Efficient assimilation of radar data at high resolution for short‐range numerical weather prediction. Paper presented at the Int. Symp. on Nowcasting Very Short Range Forecasting Toulouse France.
5. Brooks H. E. Kay M. &Hart J. A.(1998). Objective limits on forecasting skill of rare events. Paper presented at the 19th Conf. on Severe Local Storms Minneapolis MN.
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