This article reviews developments towards assimilating cloud‐and precipitation‐affected
satellite radiances at operational forecasting centres. Satellite data assimilation is moving …

The rapid variation of clouds is the main factor that causes the fluctuation of photovoltaic
power. 1 The satellite images contain plenty of information about clouds, applicable for …

More than one hundred days were simulated over very large domains with fine (0.156 km to
2.5 km) grid spacing for realistic conditions to test the hypothesis that storm (kilometer) and …

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 presents the first convective‐scale 1,000‐member ensemble simulation over
central Europe, which provides a unique data set for various applications. A comparison with …

Satellite images in the visible spectral range contain high‐resolution cloud information, but
have not been assimilated directly before. This paper presents a case‐study on the …

Abstract The Advanced Geostationary Radiation Imager (AGRI) on board the Fengyun (FY)-
4A geostationary satellite has provided high-spatiotemporal-resolution visible reflectance …

Cloud-affected radiances from geostationary satellite sensors provide the first area-wide
observable signal of convection with high spatial resolution in the range of kilometers and …

Over the past 15 years, adjoint‐based, ensemble‐based and hybrid methods have been
developed for estimating observation impact based on the forecast sensitivity to observation …

The benefits of using a machine learning approach in a forward operator for visible satellite
images are explored. In the conventional version of the forward operator, cloud-affected …