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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| 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 |