Your browser doesn't support javascript.
loading
Improved simulation of 19th- and 20th-century North Atlantic hurricane frequency after correcting historical sea surface temperatures.
Chan, Duo; Vecchi, Gabriel A; Yang, Wenchang; Huybers, Peter.
Afiliação
  • Chan D; Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA. duochan@g.harvard.edu.
  • Vecchi GA; Department of Geosciences, Princeton University, Princeton, NJ, USA.
  • Yang W; Department of Geosciences, Princeton University, Princeton, NJ, USA.
  • Huybers P; Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA.
Sci Adv ; 7(26)2021 Jun.
Article em En | MEDLINE | ID: mdl-34172449
ABSTRACT
Confidence in dynamical and statistical hurricane prediction is rooted in the skillful reproduction of hurricane frequency using sea surface temperature (SST) patterns, but an ensemble of high-resolution atmospheric simulation extending to the 1880s indicates model-data disagreements that exceed those expected from documented uncertainties. We apply recently developed corrections for biases in historical SSTs that lead to revisions in tropical to subtropical SST gradients by ±0.1°C. Revised atmospheric simulations have 20% adjustments in the decadal variations of hurricane frequency and become more consistent with observations. The improved simulation skill from revised SST estimates not only supports the utility of high-resolution atmospheric models for hurricane projections but also highlights the need for accurate estimates of past and future patterns of SST changes.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Adv Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Adv Ano de publicação: 2021 Tipo de documento: Article