Traditionally, the nowcasting of precipitation was conducted to a large extent by means of
extrapolation of observations, especially of radar ref lectivity. In recent years, the blending of …

This paper reviews the development of the ensemble Kalman filter (EnKF) for atmospheric
data assimilation. Particular attention is devoted to recent advances and current challenges …

It is in the previous chapters stated that the EnKF analysis scheme may have problems in
cases where the number of measurements is larger than the number of members in the …

The National Oceanic and Atmospheric Administration's (NOAA's) National Weather Service
(NWS) issues warnings for severe thunderstorms, tornadoes, and flash floods because …

A Doppler radar data assimilation system is developed based on an ensemble Kalman filter
(EnKF) method and tested with simulated radar data from a supercell storm. As a first …

Abstract An ensemble Kalman filter (EnKF) has been implemented at the Canadian
Meteorological Centre to provide an ensemble of initial conditions for the medium‐range …

This study explores the assimilation of Doppler radar radial velocity observations for cloud-
resolving hurricane analysis, initialization, and prediction with an ensemble Kalman filter …

A hybrid ensemble transform Kalman filter–three-dimensional variational data assimilation
(ETKF–3DVAR) system for the Weather Research and Forecasting (WRF) Model is …

In 2009, advancements in NWP and computing power inspired a vision to advance
hazardous weather warnings from a warn-on-detection to a warn-on-forecast paradigm. This …

The effectiveness of the ensemble Kalman filter (EnKF) for assimilating radar observations at
convective scales is investigated for cases whose behaviors span supercellular, linear, and …