Advances in numerical weather prediction represent a quiet revolution because they have
resulted from a steady accumulation of scientific knowledge and technological advances …

Convection‐permitting models (CPMs) have provided weather forecasting centres with a
step‐change in capabilities for forecasting rainfall. They are now used operationally to …

Despite continuous improvements, precipitation forecasts are still not as accurate and
reliable as those of other meteorological variables. A major contributing factor to this is that …

Diffusion models have been widely adopted in image generation, producing higher-quality
and more diverse samples than generative adversarial networks (GANs). We introduce a …

Accadia, C., S. Mariani, M. Casaioli, A. Lavagnini, and A. Speranza, 2003: Sensitivity of
precipitation forecast skill scores to bilinear interpolation and a simple nearest-neighbor …

Since 2012 the Met Office has been running a short‐range convective‐scale ensemble
prediction system over the United Kingdom, known as MOGREPS‐UK. In this article we …

Ensembles provide an opportunity to greatly improve short-term prediction of local weather
hazards, yet generating reliable predictions remain a significant challenge. In particular …

This article summarizes research and risk reduction that will inform acquisition decisions
regarding NOAA's future national operational weather radar network. A key alternative being …

Probabilistic severe weather forecasts for days 1 and 2 were produced using 30-member
convection-allowing ensemble forecasts initialized by an ensemble Kalman filter data …

Accadia, C., Mariani S., Casaioli M., Lavagnini A., and Speranza A., 2003: Sensitivity of
precipitation forecast skill scores to bilinear interpolation and a simple nearest-neighbor …