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1000 Titel
  • Predictability of marine heatwaves: assessment based on the ECMWF seasonal forecast system
1000 Autor/in
  1. de Boisséson, Eric |
  2. Balmaseda, Magdalena Alonso |
1000 Verlag
  • Copernicus Publications
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-02-28
1000 Erschienen in
1000 Quellenangabe
  • 20(1):265-278
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.5194/os-20-265-2024 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:p>Abstract. Marine heatwaves (MHWs), defined as prolonged period of extremely warm sea surface temperature (SST), have been receiving a lot of attention in the past decade as their frequency and intensity increase in a warming climate. This paper investigates the extent to which the seasonal occurrence and duration of MHWs can be predicted with the European Centre for Medium-Range Weather Forecast (ECMWF) operational seasonal forecast system. The prediction of the occurrence of MHW events, the number of MHW days per season, and their intensity and spatial extent are derived from seasonal SST forecasts and evaluated against an observation-based SST analysis using both deterministic and probabilistic metrics over the 1982–2021 period. Forecast scores show useful skill in predicting the occurrence of MHWs globally for the two seasons following the starting date. The skill is the highest in the El Niño region, the Caribbean, the wider tropics, the north-eastern extra-tropical Pacific, and southwest of the extra-tropical basins. The skill is not as good for other midlatitude eastern basins nor for the Mediterranean, with the forecast system being able to represent the low-frequency modulation of MHWs but showing poor skill in predicting the interannual variability of the MHW characteristics. Linear trend analysis shows an increase in MHW occurrence at a global scale, which the forecasts capture well. </jats:p>
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/ZGUgQm9pc3PDqXNvbiwgRXJpYw==|https://frl.publisso.de/adhoc/uri/QmFsbWFzZWRhLCBNYWdkYWxlbmEgQWxvbnNv
1000 Hinweis
  • DeepGreen-ID: 04062db5593c4138b815326fe0494678 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. European Commission |
1000 Fördernummer
  1. -
1000 Förderprogramm
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1000 Dateien
1000 Förderung
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    1000 Förderer European Commission |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6481779.rdf
1000 Erstellt am 2024-05-23T23:48:02.457+0200
1000 Erstellt von 322
1000 beschreibt frl:6481779
1000 Zuletzt bearbeitet 2024-05-27T11:16:15.542+0200
1000 Objekt bearb. Mon May 27 11:16:15 CEST 2024
1000 Vgl. frl:6481779
1000 Oai Id
  1. oai:frl.publisso.de:frl:6481779 |
1000 Sichtbarkeit Metadaten public
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