Abstract In November 2021, the Royal Meteorological Society Data Assimilation (DA)
Special Interest Group and the University of Reading hosted a virtual meeting on the topic of …

This study introduces a simultaneous multiscale data assimilation method by implementing
model space spatial scale‐dependent localization (SDL) and variable‐dependent …

A new multiscale, ensemble-based data assimilation (DA) method, multiscale local gain
form ensemble transform Kalman filter (MLGETKF), is introduced. MLGETKF allows …

A valid time shifting (VTS) method is explored for the GSI-based ensemble variational
(EnVar) system modified to directly assimilate radar reflectivity at convective scales. VTS is a …

A scale-dependent localization (SDL) method was formulated and implemented in the
Gridpoint Statistical Interpolation (GSI)-based four-dimensional ensemble-variational …

The approach of applying different amounts of horizontal localization to different ranges of
background-error covariance horizontal scales as proposed by Buehner and Shlyaeva was …

Accurate initialization of CONUS convective‐scale forecasting requires a proper estimate of
all resolved scales. This study further develops and examines a simultaneous multiscale …

Kilometre‐scale numerical weather prediction addresses the challenge of forecasting
accurately clouds and precipitation. Ensemble‐based data assimilation methods make use …

Initialization of condensate water variables for convective‐scale weather forecasting has
been a topic of active research for the last few years. In this article, we present the addition of …

This study examines the case dependence of the multiscale characteristics of initial
condition (IC) and model physics (MO) perturbations and their interactions in a convection …