Preface: Advances in post-processing and blending of deterministic and ensemble forecasts
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 blendin...
Published in: | Nonlinear Processes in Geophysics |
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Main Authors: | , , , , |
Other Authors: | , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2020
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Subjects: | |
Online Access: | https://meteofrance.hal.science/meteo-03544121 https://meteofrance.hal.science/meteo-03544121/document https://meteofrance.hal.science/meteo-03544121/file/npg-27-519-2020.pdf https://doi.org/10.5194/npg-27-519-2020 |
Summary: | 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. |
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