Articles | Volume 14, issue 5
https://doi.org/10.5194/essd-14-2195-2022
https://doi.org/10.5194/essd-14-2195-2022
Data description paper
 | 
06 May 2022
Data description paper |  | 06 May 2022

HCPD-CA: high-resolution climate projection dataset in central Asia

Yuan Qiu, Jinming Feng, Zhongwei Yan, and Jun Wang

Data sets

High-resolution climate projection dataset in Central Asia (1986-2005 and 2031-2050) Yuan Qiu https://doi.org/10.11888/Meteoro.tpdc.271759

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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.
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