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Increasing water cycle extremes in California and in relation to ENSO cycle under global warming.
Yoon, Jin-Ho; Wang, S-Y Simon; Gillies, Robert R; Kravitz, Ben; Hipps, Lawrence; Rasch, Philip J.
Afiliação
  • Yoon JH; Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, Washington 99352, USA.
  • Wang SS; Department of Plants, Soils and Climate, Utah Climate Center, Utah State University, Logan, Utah 84322, USA.
  • Gillies RR; Department of Plants, Soils and Climate, Utah Climate Center, Utah State University, Logan, Utah 84322, USA.
  • Kravitz B; Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, Washington 99352, USA.
  • Hipps L; Department of Plants, Soils and Climate, Utah Climate Center, Utah State University, Logan, Utah 84322, USA.
  • Rasch PJ; Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, Washington 99352, USA.
Nat Commun ; 6: 8657, 2015 Oct 21.
Article em En | MEDLINE | ID: mdl-26487088
ABSTRACT
Since the winter of 2013-2014, California has experienced its most severe drought in recorded history, causing statewide water stress, severe economic loss and an extraordinary increase in wildfires. Identifying the effects of global warming on regional water cycle extremes, such as the ongoing drought in California, remains a challenge. Here we analyse large-ensemble and multi-model simulations that project the future of water cycle extremes in California as well as to understand those associations that pertain to changing climate oscillations under global warming. Both intense drought and excessive flooding are projected to increase by at least 50% towards the end of the twenty-first century; this projected increase in water cycle extremes is associated with a strengthened relation to El Niño and the Southern Oscillation (ENSO)--in particular, extreme El Niño and La Niña events that modulate California's climate not only through its warm and cold phases but also its precursor patterns.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2015 Tipo de documento: Article