The use of bivariate copulas for bias correction of reanalysis air temperature data

Air temperature data retrieved from global atmospheric models may show a systematic bias with respect to measurements from weather stations. This is a common concern in local climate studies. The current study presents two methods based upon copulas and Conditional Probability (CP) to predict bias-c...

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Detalles Bibliográficos
Autores principales: Alidoost, Fakhereh, Stein, Alfred, Su, Zhongbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6505955/
https://www.ncbi.nlm.nih.gov/pubmed/31067243
http://dx.doi.org/10.1371/journal.pone.0216059

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6505955/
https://www.ncbi.nlm.nih.gov/pubmed/31067243
http://dx.doi.org/10.1371/journal.pone.0216059

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