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Titel On semi-empirical attribution of multidecadal climate variability
VerfasserIn Sergey Kravtsov
Konferenz EGU General Assembly 2016
Medientyp Artikel
Sprache en
Digitales Dokument PDF
Erschienen In: GRA - Volume 18 (2016)
Datensatznummer 250125027
Publikation (Nr.) Volltext-Dokument vorhandenEGU/EGU2016-4550.pdf
 
Zusammenfassung
We combine CMIP5 historical simulations and observations of sea-surface temperature (SST) and sea-level pressure (SLP) to investigate relative contributions of forced and intrinsic climate variability to long-term (decadal +) climate trends. Climate models are overly sensitive to forcing, so that the models' historical simulations have to be scaled back to match the observed trends. On the other hand, the simulated intrinsic variability is much weaker than observed, especially in the SLP. There are also substantial differences in the spatiotemporal structure between the observed and simulated intrinsic variability. These discrepancies suggest that a contribution of multidecadal intrinsic climate variability to the observed climate change is distorted in the CMIP5 simulations; hence, our ability to attribute and predict climate change using these models is limited.