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

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Cited articles

Bao, J., Feng, J., and Wang, Y.: Dynamical downscaling simulation and future projection of precipitation over China, J. Geophys. Res.-Atmos., 120, 8227–8243, 2015. 
Bruyère, C. L., Done, J. M., Holland, G. J., and Fredrick, S.: Bias corrections of global models for regional climate simulations of high-impact weather, Clim. Dynam., 43, 1847–1856, https://doi.org/10.1007/s00382-013-2011-6, 2014. 
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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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