Preprints
https://doi.org/10.5194/essd-2021-361
https://doi.org/10.5194/essd-2021-361

  03 Nov 2021

03 Nov 2021

Review status: this preprint is currently under review for the journal ESSD.

HCPD-CA High-resolution climate projection dataset in Central Asia for ecological and hydrological applications

Yuan Qiu, Jinming Feng, Zhongwei Yan, and Jun Wang Yuan Qiu et al.
  • Key Laboratory of Regional Climate-Environment for Temperate East Asia (RCE-TEA), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China

Abstract. Central Asia (referred to as CA) is one of the climate change Hot-Spots due to the fragile ecosystems, strained water resources, and accelerated glacier melting, which underscores the need of high-resolution climate projection datasets for application to vulnerability, impacts, and adaption assessments in ecological and hydrological systems. In this study, a high-resolution (9 km) climate projection dataset over CA (the HCPD-CA dataset) is derived from dynamically downscaled results based on multiple bias-corrected global climate models, and contains ten meteorological elements that are widely used to drive ecological and hydrological models. The reference and future periods are 1986–2005 and 2031–2050, respectively. The carbon emission scenario is Representative Concentration Pathway (RCP) 4.5. The results show the data product has good quality in describing the climatology of all the elements in CA, which ensures the suitability of the dataset for future research. The main feature of projected climate changes in CA in the near-term future is strong warming (annual mean temperature increasing by 1.62–2.02 ℃) and significant increase in downward shortwave and longwave flux at surface, with minor changes in other elements (e. g., precipitation, relative humidity at 2 m, and wind speed at 10 m). The HCPD-CA dataset presented here serves as a scientific basis for assessing the impacts of climate change over CA on many sectors, especially on ecological and hydrological systems. It is publicly available at http://data.tpdc.ac.cn/en/disallow/24c7467c-44a6-44ab-bbcf-e6e346dd41d0/ (Qiu, 2021).

Yuan Qiu et al.

Status: open (until 29 Dec 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-361', Anonymous Referee #1, 16 Nov 2021 reply
  • RC2: 'Comment on essd-2021-361', Anonymous Referee #2, 18 Nov 2021 reply

Yuan Qiu et al.

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

Yuan Qiu et al.

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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 ten meteorological elements that are widely used to drive ecological and hydrological models. The HCPD-CA dataset presented here serves as a scientific basis for assessing the impacts of climate change over CA on many sectors, especially on ecological and hydrological systems.