In this paper, a hybrid gain data assimilation (HGDA) method was introduced into the
mesoscale version of the Global/Regional Assimilation and Prediction System …

Hybrid data assimilation (DA) methods have received extensive attention in the field of
numerical weather prediction. In this study, a hybrid gain data assimilation (HGDA) method …

Covariance inflation is one of the necessary tools enabling the success of ensemble Kalman
filters (EnKFs) in high‐dimensional spaces and in the presence of model error. Inflation …

A regional hybrid gain data assimilation (HGDA) system is newly developed using Weather
Research and Forecasting model (WRF). The WRF-HGDA augments an ensemble-based …

The space spanned by the background ensemble provides a basis for correcting forecast
errors in the ensemble Kalman filter. However, the ensemble space may not fully capture the …

Hybrid systems have become the state of the art among data assimilation methods. These
systems combine the benefits of two other systems that are traditionally used in operational …

The space spanned by the background ensemble provides a basis for correcting forecast
errors in the ensemble Kalman filter. However, the ensemble space may not fully capture the …