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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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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6505955/ https://ncbi.nlm.nih.gov/pubmed/31067243 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0216059 |
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