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Accounting for skill in trend, variability, and autocorrelation facilitates better multi-model projections: Application to the AMOC and temperature time series.
Olson, Roman; An, Soon-Il; Fan, Yanan; Evans, Jason P.
Affiliation
  • Olson R; Department of Atmospheric Sciences, Yonsei University, Seoul, South Korea.
  • An SI; Center for Climate Physics, Institute for Basic Science, Busan, South Korea.
  • Fan Y; Pusan National University, Busan, South Korea.
  • Evans JP; Department of Atmospheric Sciences, Yonsei University, Seoul, South Korea.
PLoS One ; 14(4): e0214535, 2019.
Article in En | MEDLINE | ID: mdl-30969982
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Movements / Climate Change / Computer Simulation / Climate Type of study: Prognostic_studies Country/Region as subject: Asia Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2019 Document type: Article Affiliation country: Corea del Sur Country of publication: Estados Unidos
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Movements / Climate Change / Computer Simulation / Climate Type of study: Prognostic_studies Country/Region as subject: Asia Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2019 Document type: Article Affiliation country: Corea del Sur Country of publication: Estados Unidos