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Forecasted attribution of the human influence on Hurricane Florence.
Reed, K A; Stansfield, A M; Wehner, M F; Zarzycki, C M.
Affiliation
  • Reed KA; School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, USA.
  • Stansfield AM; School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, USA.
  • Wehner MF; Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
  • Zarzycki CM; Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO, USA.
Sci Adv ; 6(1): eaaw9253, 2020 01.
Article de En | MEDLINE | ID: mdl-31911940
ABSTRACT
Changes in extreme weather, such as tropical cyclones, are one of the most serious ways society experiences the impact of climate change. Advance forecasted conditional attribution statements, using a numerical model, were made about the anthropogenic climate change influence on an individual tropical cyclone, Hurricane Florence. Mean total overland rainfall amounts associated with the forecasted storm's core were increased by 4.9 ± 4.6% with local maximum amounts experiencing increases of 3.8 ± 5.7% due to climate change. A slight increase in the forecasted storm size of 1 to 2% was also attributed. This work reviews our forecasted attribution statement with the benefit of hindsight, demonstrating credibility of advance attribution statements for tropical cyclones.

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Sci Adv Année: 2020 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Sci Adv Année: 2020 Type de document: Article Pays d'affiliation: États-Unis d'Amérique
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