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...

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Detalles Bibliográficos
Autores principales: Xu, Zhongfeng, Han, Ying, Tam, Chi-Yung, Yang, Zong-Liang, Fu, Congbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Data Descriptor
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

Internet

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

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