Statistical postprocessing techniques are nowadays key components of the forecasting
suites in many national meteorological services (NMS), with, for most of them, the objective …

Computer simulation models have been widely used to generate hydrometeorological
forecasts. As the raw forecasts contain uncertainties arising from various sources, including …

Data‐driven approaches, most prominently deep learning, have become powerful tools for
prediction in many domains. A natural question to ask is whether data‐driven methods could …

Ensemble forecasting applied to the field of hydrology is currently an established area of
research embracing a broad spectrum of operational situations. This work catalogs the …

Ensembles used for probabilistic weather forecasting tend to be biased and
underdispersive. This paper proposes a statistical method for postprocessing ensembles …

Abstract The Goddard Earth Observing System composition forecast (GEOS‐CF) system is a
high‐resolution (0.25°) global constituent prediction system from NASA's Global Modeling …

Study region: The region of interest is the South-Tyrol in the southeastern Alps, Italy. A
comparison of meteorological forcing is performed with reference to this region while …

This study explores an analog-based method to generate an ensemble [analog ensemble
(AnEn)] in which the probability distribution of the future state of the atmosphere is estimated …

A multidecadal ensemble reforecast database is now available that is approximately
consistent with the operational 0000 UTC cycle of the 2012 NOAA Global Ensemble …

A parametric statistical postprocessing method is presented that transforms raw (and
frequently biased) ensemble forecasts from the Global Ensemble Forecast System (GEFS) …