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Ensemble weather predictions typically show systematic errors that have to be corrected via post-processing.
Comparing predictive accuracy
Francis X. Diebold and Robert S. Mariano · 1995
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Calibrated probabilistic forecasting using ensemble model output statistics and minimum CRPS estimation
Tilmann Gneiting, Adrian E. Raftery, Anton H. Westveld, and Tom Goldman · 2005
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Sam Allen, Gavin R. Evans, Piers Buchanan, and Frank Kwasniok · 2021
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Towards implementing artificial intelligence post-processing in weather and climate: Proposed actions from the Oxford 2019 workshop
Sue Ellen Haupt, William Chapman, Samantha V. Adams, Charlie Kirkwood, J. Scott Hosking, Niall H. Robinson, Sebastian Lerch, and Aneesh C. Subramanian · 2021
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Statistical postprocessing for weather forecasts: Review, challenges, and avenues in a big data world
Stéphane Vannitsem, John Bjørnar Bremnes, Jonathan Demaeyer, Gavin R. Evans, Jonathan Flowerdew, Stephan Hemri, Sebastian Lerch, Nigel Roberts, Susanne Theis, Aitor Atencia, Zied Ben Bouallègue, Jonas Bhend, Markus Dabernig, Lesley De Cruz, Leila Hieta, Olivier Mestre, Lionel Moret, Iris Odak Plenković, Maurice Schmeits, Maxime Taillardat, Joris Van den Bergh, Bert Van Schaeybroeck, Kirien Whan, and Jussi Ylhaisi · 2021
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Statistical postprocessing of wind speed forecasts using convolutional neural networks
Simon Veldkamp, Kirien Whan, Sjoerd Dirksen, and Maurice Schmeits · 2021
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