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dc.contributor.authorHemri, Stephan
dc.contributor.authorLerch, Sebastian
dc.contributor.authorTaillardat, Maxime
dc.contributor.authorVannitsem, Stéphane
dc.contributor.authorWilks, Daniel S.
dc.date2020-11-17
dc.date.accessioned2022-02-16T14:52:06Z
dc.date.available2022-02-16T14:52:06Z
dc.identifier.citationemri, 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.en_US
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/9794
dc.descriptionThe 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 Oscillationen_US
dc.languageengen_US
dc.publisherCopernicusen_US
dc.titlePreface: Advances in post-processing and blending of deterministic and ensemble forecastsen_US
dc.typeArticleen_US
dc.subject.frascatiEarth and related Environmental sciencesen_US
dc.audienceScientificen_US
dc.source.titleNonlinear Processes in Geophysicsen_US
dc.source.volume27en_US
dc.source.page519-521en_US
dc.relation.projectPP module of EUMETNETen_US
Orfeo.peerreviewedYesen_US
dc.identifier.publisherlinkhttps://doi.org/10.5194/npg-27-519-2020


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