机译:Using a Cost-Effective Approach to Increase Background Ensemble Member Size within the GSI-Based EnVar System for Improved Radar Analyses and Forecasts of Convective Systems
机译:Benefits of Smoothing Backgrounds and Radar Reflectivity Observations for Multiscale Data Assimilation with an Ensemble Kalman Filter at Convective Scales: A Proof-of-Concept Study
机译:Effects of Flow Dependency Introduced by Background Error in Frequent and Dense Assimilation of Radial Winds Using Observation Error Correlated in Time and Space