This review paper deals with four aspects of precipitation: measurement, remote sensing,
climatology and modeling. The measurement of precipitation is summarized in terms of the …

Ten years ago, humidity observations were thought to give little benefit to global weather
forecasts. Nowadays, at the European Centre for Medium‐range Weather Forecasts …

Dynamic data assimilation is the assessment, combination and synthesis of observational
data, scientific laws and mathematical models to determine the state of a complex physical …

Aberson, SD, A. Aksoy, KJ Sellwood, T. Vukicevic, and X. Zhang, 2015: Assimilation of high-
resolution tropical cyclone observations with an ensemble Kalman filter using HEDAS …

This research represents the second part of a two-part series describing the development of
a prototype ensemble data assimilation system for the Warn-on-Forecast (WoF) project …

All-sky assimilation of infrared (IR) radiances has not yet become operational at any weather
forecasting centre, but it promises to bring new observations in sensitive areas and avoid the …

A multiple‐scattering radiative transfer model for microwave radiance data assimilation in
global numerical weather‐prediction models is presented. The model is part of the RTTOV …

While contemporary numerical weather prediction models represent the large‐scale
structure of moist atmospheric processes reasonably well, they often struggle to maintain …

Variability of solar energy is the most significant issue for integrating solar energy into the
power Grid. There are pressing demands to develop methods to accurately estimate cloud …

Assimilation of All-Sky SEVIRI Infrared Brightness Temperatures in a Regional-Scale
Ensemble Data Assimilation System in: Monthly Weather Review Volume 147 Issue 12 (2019) …