Preface: Advances in post-processing and blending of deterministic and ensemble forecasts

• Published in: Nonlinear Processes in Geophysics
• Main Authors: Hemri, Stephan, Lerch, Sebastian, Taillardat, Maxime, Vannitsem, Stéphane, Wilks, Daniel
• Other Authors: Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Météo-France Direction Interrégionale Sud-Est (DIRSE), Météo-France, Institut Royal Météorologique de Belgique Bruxelles - Royal Meteorological Institute (IRM)
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2020
• Subjects: [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology; [NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD]; [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]; [STAT.AP]Statistics [stat]/Applications [stat.AP]; [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]; [SDU.OCEAN]Sciences of the Universe [physics]/Ocean; Atmosphere; [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]; North Atlantic; North Atlantic oscillation
• Online Access: https://hal-meteofrance.archives-ouvertes.fr/meteo-03544121; https://hal-meteofrance.archives-ouvertes.fr/meteo-03544121/document; https://hal-meteofrance.archives-ouvertes.fr/meteo-03544121/file/npg-27-519-2020.pdf; https://doi.org/10.5194/npg-27-519-2020

International audience Abstract. The special issue on advances in post-processing and blending of deterministic and ensemble forecasts is the outcome of several successful successive sessions organized at the General Assembly of the European Geosciences Union. Statistical post-processing and blending of forecasts are currently topics of important attention and development in many countries to produce optimal forecasts. Ten contributions have been received, covering key aspects of current concerns on statistical post-processing, namely the restoration of inter-variable dependences, the impact of model changes on the statistical relationships and how to cope with it, the operational implementation at forecasting centers, the development of appropriate metrics for forecast verification, and finally two specific applications to snow forecasts and seasonal forecasts of the North Atlantic Oscillation.