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

Hemri, S.; Lerch, Sebastian; Taillardat, M.; Vannitsem, S.; Wilks, D. S.

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.

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Verlagsausgabe §
DOI: 10.5445/IR/1000127662
Veröffentlicht am 14.12.2020
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Stochastik (STOCH)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 1023-5809, 1607-7946
KITopen-ID: 1000127662
Erschienen in Nonlinear processes in geophysics
Verlag European Geosciences Union (EGU)
Band 27
Heft 4
Seiten 519-521
Nachgewiesen in Scopus
Web of Science
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