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A large-scale view of marine heatwaves revealed by archetype analysis.
Chapman, Christopher C; Monselesan, Didier P; Risbey, James S; Feng, Ming; Sloyan, Bernadette M.
Afiliação
  • Chapman CC; CSIRO Oceans and Atmosphere, Hobart Marine Laboratories, Castray Esplanade, Hobart, Tasmania, Australia. chris.chapman@csiro.au.
  • Monselesan DP; Center for Southern Hemisphere Ocean Research, Hobart Marine Laboratories, Castray Esplanade, Hobart, Tasmania, Australia. chris.chapman@csiro.au.
  • Risbey JS; CSIRO Oceans and Atmosphere, Hobart Marine Laboratories, Castray Esplanade, Hobart, Tasmania, Australia.
  • Feng M; CSIRO Oceans and Atmosphere, Hobart Marine Laboratories, Castray Esplanade, Hobart, Tasmania, Australia.
  • Sloyan BM; Center for Southern Hemisphere Ocean Research, Hobart Marine Laboratories, Castray Esplanade, Hobart, Tasmania, Australia.
Nat Commun ; 13(1): 7843, 2022 12 21.
Article em En | MEDLINE | ID: mdl-36543779
ABSTRACT
Marine heatwaves can have disastrous impacts on ecosystems and marine industries. Given their potential consequences, it is important to understand how broad-scale climate variability influences the probability of localised extreme events. Here, we employ an advanced data-mining methodology, archetype analysis, to identify large scale patterns and teleconnections that lead to marine extremes in certain regions. This methodology is applied to the Australasian region, where it identifies instances of anomalous sea-surface temperatures, frequently associated with marine heatwaves, as well as the broadscale oceanic and atmospheric conditions associated with those extreme events. Additionally, we use archetype analysis to assess the ability of a low-resolution climate model to accurately represent the teleconnection patterns associated with extreme climate variability, and discuss the implications for the predictability of these impactful events.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Clima / Ecossistema Tipo de estudo: Prognostic_studies Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Clima / Ecossistema Tipo de estudo: Prognostic_studies Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Austrália