Articles | Volume 14, issue 5
https://doi.org/10.5194/essd-14-2195-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/essd-14-2195-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
06 May 2022
Data description article |
| 06 May 2022
| 06 May 2022
HCPD-CA: high-resolution climate projection dataset in central Asia
Key Laboratory of Regional Climate-Environment for Temperate East Asia
(RCE-TEA), Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing 100029, China
Jinming Feng
CORRESPONDING AUTHOR
Key Laboratory of Regional Climate-Environment for Temperate East Asia
(RCE-TEA), Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing 100029, China
Zhongwei Yan
Key Laboratory of Regional Climate-Environment for Temperate East Asia
(RCE-TEA), Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing 100029, China
Key Laboratory of Regional Climate-Environment for Temperate East Asia
(RCE-TEA), Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing 100029, China
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Short summary
A high-resolution climate projection dataset in central Asia, named the HCPD-CA dataset, is derived from the dynamically downscaled results based on three bias-corrected global climate models and contains 4 geostatic variables and 10 meteorological elements that are widely used to drive ecological and hydrological models. This dataset can serve as a scientific basis for assessing the potential impacts of projected climate changes over central Asia on many sectors.
A high-resolution climate projection dataset in central Asia, named the HCPD-CA dataset, is...
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