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Statistical issues in weather forecasting
SMHI, Research Department, Meteorology.ORCID iD: 0000-0001-8376-2729
2002 (English)In: Scandinavian Journal of Statistics, ISSN 0303-6898, E-ISSN 1467-9469, Vol. 29, no 2, p. 219-239Article in journal (Refereed) Published
Abstract [en]

Research and operational applications in weather forecasting are reviewed, with emphasis on statistical issues. It is argued that the deterministic approach has dominated in weather forecasting, although weather forecasting is a probabilistic problem by nature. The reason has been the successful application of numerical weather prediction techniques over the 50 years since the introduction of computers. A gradual change towards utilization of more probabilistic methods has occurred over the last decade; in particular meteorological data assimilation, ensemble forecasting and post-processing of model output have been influenced by ideas from statistics and control theory.

Place, publisher, year, edition, pages
2002. Vol. 29, no 2, p. 219-239
Keywords [en]
data assimilation, ensemble forecasting, filtering, meteorology, quality control, variational methods
National Category
Meteorology and Atmospheric Sciences
Research subject
Meteorology
Identifiers
URN: urn:nbn:se:smhi:diva-1387DOI: 10.1111/1467-9469.00281ISI: 000176036800005OAI: oai:DiVA.org:smhi-1387DiVA, id: diva2:843977
Conference
18th Nordic Conference on Mathematical Statistics, JUN, 2000, GRIMSTAD, NORWAY
Available from: 2015-08-03 Created: 2015-07-29 Last updated: 2017-12-04Bibliographically approved

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Gustafsson, Nils

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