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Climate-driven changes in the predictability of seasonal precipitation.
Le, Phong V V; Randerson, James T; Willett, Rebecca; Wright, Stephen; Smyth, Padhraic; Guilloteau, Clément; Mamalakis, Antonios; Foufoula-Georgiou, Efi.
Afiliación
  • Le PVV; Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA. lepv@ornl.gov.
  • Randerson JT; Department of Civil and Environmental Engineering, University of California, Irvine, CA, USA. lepv@ornl.gov.
  • Willett R; Faculty of Hydrology Meteorology and Oceanography, University of Science, Vietnam National University, Hanoi, Vietnam. lepv@ornl.gov.
  • Wright S; Department of Civil and Environmental Engineering, University of California, Irvine, CA, USA.
  • Smyth P; Department of Earth System Science, University of California, Irvine, CA, USA.
  • Guilloteau C; Department of Statistics, University of Chicago, Chicago, IL, USA.
  • Mamalakis A; Department of Computer Science, University of Chicago, Chicago, IL, USA.
  • Foufoula-Georgiou E; Computer Science Department, University of Wisconsin-Madison, Madison, WI, USA.
Nat Commun ; 14(1): 3822, 2023 Jun 28.
Article en En | MEDLINE | ID: mdl-37380668
Climate-driven changes in precipitation amounts and their seasonal variability are expected in many continental-scale regions during the remainder of the 21st century. However, much less is known about future changes in the predictability of seasonal precipitation, an important earth system property relevant for climate adaptation. Here, on the basis of CMIP6 models that capture the present-day teleconnections between seasonal precipitation and previous-season sea surface temperature (SST), we show that climate change is expected to alter the SST-precipitation relationships and thus our ability to predict seasonal precipitation by 2100. Specifically, in the tropics, seasonal precipitation predictability from SSTs is projected to increase throughout the year, except the northern Amazonia during boreal winter. Concurrently, in the extra-tropics predictability is likely to increase in central Asia during boreal spring and winter. The altered predictability, together with enhanced interannual variability of seasonal precipitation, poses new opportunities and challenges for regional water management.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos