Cargando…
Bias-corrected climate projections for South Asia from Coupled Model Intercomparison Project-6
Climate change is likely to pose enormous challenges for agriculture, water resources, infrastructure, and livelihood of millions of people living in South Asia. Here, we develop daily bias-corrected data of precipitation, maximum and minimum temperatures at 0.25° spatial resolution for South Asia (...
Autores principales: | Mishra, Vimal, Bhatia, Udit, Tiwari, Amar Deep |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550601/ https://www.ncbi.nlm.nih.gov/pubmed/33046709 http://dx.doi.org/10.1038/s41597-020-00681-1 |
Ejemplares similares
-
Scientific data from precipitation driver response model intercomparison project
por: Myhre, Gunnar, et al.
Publicado: (2022) -
High-resolution and bias-corrected CMIP5 projections for climate change impact assessments
por: Navarro-Racines, Carlos, et al.
Publicado: (2020) -
High-resolution near real-time drought monitoring in South Asia
por: Aadhar, Saran, et al.
Publicado: (2017) -
The Global Gridded Crop Model Intercomparison phase 1 simulation dataset
por: Müller, Christoph, et al.
Publicado: (2019) -
ClimateEU, scale-free climate normals, historical time series, and future projections for Europe
por: Marchi, Maurizio, et al.
Publicado: (2020)