Phys.org May 23, 2022
Researchers in China have derived a high-resolution (9 km) climate projection dataset over Central Asia (HCPD-CA) from dynamically downscaled results based on multiple bias-corrected global climate models. It contains four geostatic variables and 10 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 evaluation showed that the data product has good quality in describing the climatology of all the elements in CA despite some systematic biases. Main features of projected climate changes over CA in the near-term future are strong warming (annual mean temperature increasing by 1.62–2.02 ∘C) and a significant increase in downward shortwave and longwave flux at the surface. The HCPD-CA dataset presented here serves as a scientific basis for assessing the potential impacts of projected climate changes over CA on many sectors, especially on ecological and hydrological systems…read more. Open Access TECHNICAL ARTICLE  1 ,  2 Â
Projected changes (2031-2050 vs. 1986-2005) in the six agroclimatic indicators in central Asia. Credit: Qiu Yuan