Abstract
Under global warming, according to results obtained from offline drought indices driven by projections of general circulation models (GCMs), future droughts in China will worsen but the results are not consistent. We analyzed changes in droughts covering the entire hydrologic cycle using outputs of GCMs of the 6th Coupled Model Intercomparison Project (CMIP6) for SSP2-4.5 and SSP5-8.5 climate scenarios, and compared the results with that of popular, offline drought indices [the self-calibrating Palmer Drought Severity Index (scPDSI), Standardized Precipitation Evapotranspiration Index (SPEI) and Standardized Precipitation Actual Evapotranspiration Index (SPAEI)]. Among meteorological, agricultural, and hydrological drought indices tested under both SSP scenarios, the results obtained from SPAEI and scPDSI agree better with univariate drought indices than SPEI. scPDSI generally agrees well with agricultural droughts (Standardized Soil Moisture Index with the surface soil moisture content; SSIS). Future droughts estimated using soil moisture analysis are more widespread than that from precipitation and runoff analysis in humid regions of South China by the end of the twenty-first century. In arid northwestern China and Inner Mongolia, drought areas and severity based on scPDSI and SSIS forced with the SSP scenarios show obvious decreasing trends, in contrast to increasing trends projected in South China. Trends projected using SPEI contradict those projected by other drought indices in non-humid regions. Therefore, selecting appropriate drought indices is crucial in project representative future droughts and provides meaningful information needed to achieve effective regional drought mitigation strategies under climate warming impact.
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CMIP6 data are available online (https://esgf-node.llnl.gov/projects/cmip6/).
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The first author was financially supported by the National Natural Science Foundation of China (Nos. 51879222 and 52079111), the China Scholarship Council (nos. 201906300059).
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Lead author GZ designed the study, performed the analysis and wrote the paper. TG and XS provided essential assistance in the analysis, writing, and revision stages.
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Zhang, G., Gan, T.Y. & Su, X. Twenty-first century drought analysis across China under climate change. Clim Dyn 59, 1665–1685 (2022). https://doi.org/10.1007/s00382-021-06064-5
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DOI: https://doi.org/10.1007/s00382-021-06064-5