dc.contributor.author
Degenhardt, Lisa
dc.contributor.author
Leckebusch, Gregor C.
dc.contributor.author
Scaife, Adam A.
dc.date.accessioned
2024-05-16T06:58:13Z
dc.date.available
2024-05-16T06:58:13Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/43573
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-43289
dc.description.abstract
Winter windstorms belong to the most damaging meteorological events in the extra-tropics. Their impact on society makes it essential to understand and improve seasonal forecasts of these extreme events. Skilful predictions on a seasonal timescale have been shown in previous studies by investigating hindcasts from various forecast centres. This study aims to explain storm forecast skill based on relevant dynamical factors. Therefore, a number of factors which are known to influence either windstorms directly or their synoptic relevant systems, mid-latitude cyclones, are investigated. These factors are analysed for their relation to windstorm forecast performance based on a reanalysis (ERA5) and the seasonal hindcast of the UK Met Office (Global Seasonal forecasting system version 5, GloSea5).
Within GloSea5, relevant dynamical factors are (1) validated with respect to their physical connections to windstorms, (2) investigated with respect to the seasonal forecast skill of the factors themselves, and (3) assessed on the relevance and influence of their forecast performance to and on windstorm forecast skill. Although not all investigated factors reveal a clear and consistent influence on windstorm forecast skill over Europe, core factors like mean sea level pressure gradient, sea surface temperature, equivalent potential temperature and Eady growth rate show consistent results within these three steps: their physical connection is well represented in the model; these factors are skilfully predicted in storm-relevant regions, and, consequently, this skill leads to increased forecast skill of winter windstorms over Europe. This study thus explains existing forecast skill in winter windstorms but also indicates potential for further model developments to improve seasonal winter windstorm predictions.
en
dc.format.extent
21 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
winter windstorm
en
dc.subject
predictability
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::550 Geowissenschaften, Geologie::551 Geologie, Hydrologie, Meteorologie
dc.title
Understanding winter windstorm predictability over Europe
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.doi
10.5194/wcd-5-587-2024
dcterms.bibliographicCitation.journaltitle
Weather and Climate Dynamics
dcterms.bibliographicCitation.number
2
dcterms.bibliographicCitation.pagestart
587
dcterms.bibliographicCitation.pageend
607
dcterms.bibliographicCitation.volume
5
dcterms.bibliographicCitation.url
https://doi.org/10.5194/wcd-5-587-2024
refubium.affiliation
Geowissenschaften
refubium.affiliation.other
Institut für Meteorologie
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
2698-4016
refubium.resourceType.provider
WoS-Alert