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An analysis of uncertainties and skill in forecasts of winter storm losses
Pardowitz, Tobias ;  Osinski, Robert ;  Kruschke, Tim ;  Ulbrich, Uwe

HaupttitelAn analysis of uncertainties and skill in forecasts of winter storm losses
AutorPardowitz, Tobias
AutorOsinski, Robert
AutorKruschke, Tim
AutorUlbrich, Uwe
Seitenzahl12 Seiten
DDC551 Geologie, Hydrologie, Meteorologie
Auch erschienen inNatural Hazards and Earth System Sciences : 16, 2391-2402, 2016
ZusammenfassungThis paper describes an approach to derive probabilistic predictions of local winter storm damage occurrences from a global medium-range ensemble prediction system (EPS). Predictions of storm damage occurrences are subject to large uncertainty due to meteorological forecast uncertainty (typically addressed by means of ensemble predictions) and uncertainties in modelling weather impacts. The latter uncertainty arises from the fact that local vulnerabilities are not known in sufficient detail to allow for a deterministic prediction of damages, even if the forecasted gust wind speed contains no uncertainty. Thus, to estimate the damage model uncertainty, a statistical model based on logistic regression analysis is employed, relating meteorological analyses to historical damage records. A quantification of the two individual contributions (meteorological and damage model uncertainty) to the total forecast uncertainty is achieved by neglecting individual uncertainty sources and analysing resulting predictions. Results show an increase in forecast skill measured by means of a reduced Brier score if both meteorological and damage model uncertainties are taken into account. It is demonstrated that skilful predictions on district level (dividing the area of Germany into 439 administrative districts) are possible on lead times of several days. Skill is increased through the application of a proper ensemble calibration method, extending the range of lead times for which skilful damage predictions can be made.
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Fachbereich/EinrichtungFB Geowissenschaften
Arbeitsbereich/InstitutInstitut für Meteorologie
Erscheinungsjahr2016
Dokumententyp/-SammlungenWissenschaftlicher Artikel
SpracheEnglisch
RechteCreative Commons Lizenzvertrag
Dieses Werk ist lizenziert unter einer Creative Commons Namensnennung 3.0 Deutschland Lizenz.
Anmerkungen des AutorsGefördert durch die DFG und den Open-Access-Publikationsfonds der Freien Universität Berlin.
Erstellt am01.02.2017 - 13:44:25
Letzte Änderung01.02.2017 - 13:55:48
 
Statische URLhttp://edocs.fu-berlin.de/docs/receive/FUDOCS_document_000000026174
DOI10.5194/nhess-16-2391-2016
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