EUMETNET

output

20192023

most citedStatistical Postprocessing for Weather Forecasts -- Review, Challenges and Avenues in a Big Data World

205 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

J. Demaeyer2 · h 11
S. Vannitsem2 · h 30
Aitor Atencia1 · h 12
B. Van Schaeybroeck1 · h 8
C. Kacperski1 · h 10
F. Kutzner1 · h 17
G. Evans1 · h 11
Iris Odak Plenkovi'c1 · h 1
J. Bhend1 · h 23
J. Bremnes1 · h 14
Jérémy Wautelet1 · h 2
J. Flowerdew1 · h 23

collaborating institutions

Royal Meteorological Institute of BelgiumBE2 papers
Central Institution for Meteorology and GeodynamicsAT1 paper
Centre National de Recherches MétéorologiquesFR1 paper
Croatian Meteorological and Hydrological ServiceHR1 paper
Darmstadt University of Applied SciencesDE1 paper
Deutscher WetterdienstDE1 paper
European Centre for Medium-Range Weather ForecastsGB1 paper
Federal Office of Meteorology and Climatology MeteoSwissCH1 paper
Finnish Meteorological InstituteFI1 paper
GESIS - Leibniz Institute for the Social SciencesDE1 paper
Karlsruhe Institute of TechnologyDE1 paper
Météo-FranceFR1 paper

Showing 2020 · physics.ao-phShow all

1 paper · 2 filters

physics.ao-ph2020★ 205 cited

Statistical Postprocessing for Weather Forecasts -- Review, Challenges and Avenues in a Big Data World

Stéphane Vannitsem, John Bjørnar Bremnes, Jonathan Demaeyer +21

Statistical postprocessing techniques are nowadays key components of the forecasting suites in many National Meteorological Services (NMS), with for most of them, the objective of…