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Bias-corrected CMIP6 global dataset for dynamical downscaling of the historical and future climate (1979–2100)
Dynamical downscaling is an important approach to obtaining fine-scale weather and climate information. However, dynamical downscaling simulations are often degraded by biases in the large-scale forcing itself. We constructed a bias-corrected global dataset based on 18 models from the Coupled Model...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8569144/ https://www.ncbi.nlm.nih.gov/pubmed/34737356 http://dx.doi.org/10.1038/s41597-021-01079-3 |