Active research has been carried out in recent years to assimilate high‐resolution
observations into numerical models to improve precipitation forecasting. Considerable …

The FRANC project (Forecasting Rainfall exploiting new data Assimilation techniques and
Novel observations of Convection) has researched improvements in numerical weather …

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 …

Stochastic differential equations arise naturally in a range of contexts, from financial to
environmental modeling. Current solution methods are limited in their representation of the …

With the development of convection-permitting numerical weather prediction the efficient use
of high-resolution observations in data assimilation is becoming increasingly important. The …

This article describes the development and trials at the Met Office of the assimilation of radar
Doppler radial winds in a pre‐operational framework. It uses a high‐resolution 1.5 km …

Wintertime precipitation, especially snowstorms, significantly impacts people's lives.
However, the current forecast skill of wintertime precipitation is still low. Based on data …

The Impact of Data Assimilation Length Scales on Analysis and Prediction of Convective Storms
in: Monthly Weather Review Volume 142 Issue 10 (2014) Jump to Content Jump to Main …

A simplified model for cumulus convection has been developed, with the aim of providing a
computationally inexpensive, but physically plausible, environment for developing methods …

Mode Selective Enhanced Surveillance (Mode‐S EHS) reports are aircraft‐based
observations that have value in numerical weather prediction (NWP). These reports contain …