Preface: Advances in post-processing and blending of deterministic and ensemble forecasts
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Authors
Hemri, Stephan
Lerch, Sebastian
Taillardat, Maxime
Vannitsem, Stéphane
Wilks, Daniel S.
Discipline
Earth and related Environmental sciences
Audience
Scientific
Date
2020-11-17Publisher
Copernicus
Metadata
Show full item recordDescription
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
Citation
emri, S., Lerch, S., Taillardat, M., Vannitsem, S., and Wilks, D. S.: Preface: Advances in post-processing and blending of deterministic and ensemble forecasts, Nonlin. Processes Geophys., 27, 519–521, https://doi.org/10.5194/npg-27-519-2020, 2020.
Identifiers
publisherlink: https://doi.org/10.5194/npg-27-519-2020
Type
Article
Peer-Review
Yes
Language
eng