Weather forecasting is important for science and society. At present, the most accurate
forecast system is the numerical weather prediction (NWP) method, which represents …

A key aim of climate monitoring is to place the current conditions of climate variables, such
as surface air temperature and precipitation, in their historical context. In Europe, a leading …

ERA5 is the latest fifth-generation reanalysis global atmosphere dataset from the European
Centre for Medium-Range Weather Forecasts, replacing ERA-Interim as the next generation …

In this paper, we present Pangu-Weather, a deep learning based system for fast and
accurate global weather forecast. For this purpose, we establish a data-driven environment …

Accurate precipitation retrievals with fine spatio-temporal resolutions are critical in global
and regional analyses. As an important alternative of satellite-based precipitation products …

Streamflow in high-mountain Asia is influenced by meltwater from snow and glaciers, and
determining impacts of climate change on the region's cryosphere is essential to understand …

Gridded analyses of observed precipitation are an important data resource for
environmental modelling, climate model evaluation and climate monitoring. In Europe …

Compound weather and climate events are combinations of climate drivers and/or hazards
that contribute to societal or environmental risk. Studying compound events often requires a …

The hydrological response to climate change in mountainous basins manifests itself at
varying spatial and temporal scales, ranging from catchment to large river basin scale and …

Reanalysis precipitation estimates are widely used in the fields of meteorology and
hydrology because they can provide physical, spatial, and temporal coherent long time …