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Predicting the variable ocean carbon sink.
Li, H; Ilyina, T; Müller, W A; Landschützer, P.
Afiliação
  • Li H; Max Planck Institute for Meteorology, Bundesstraße 53, 20146 Hamburg, Germany.
  • Ilyina T; Max Planck Institute for Meteorology, Bundesstraße 53, 20146 Hamburg, Germany.
  • Müller WA; Max Planck Institute for Meteorology, Bundesstraße 53, 20146 Hamburg, Germany.
  • Landschützer P; Deutscher Wetterdienst, Bernhard-Nocht-Straße 76, 20359 Hamburg, Germany.
Sci Adv ; 5(4): eaav6471, 2019 Apr.
Article em En | MEDLINE | ID: mdl-31001588
ABSTRACT
Strong decadal variations in the oceanic uptake of carbon dioxide (CO2) observed over the past three decades challenge our ability to predict the strength of the ocean carbon sink. By assimilating atmospheric and oceanic observational data products into an Earth system model-based decadal prediction system, we can reproduce the observed variations of the ocean carbon uptake globally. We find that variations of the ocean CO2 uptake are predictable up to 2 years in advance globally, albeit there is evidence for a higher predictive skill up to 5 years regionally. We further suggest that while temperature variations largely determine shorter-term (<3 years) predictability, nonthermal drivers are responsible for longer-term (>3 years) predictability, especially at high latitudes.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article