2020
DOI: 10.1029/2019ef001337
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Future Drought in the Dry Lands of Asia Under the 1.5 and 2.0 °C Warming Scenarios

Abstract: Drought has become a major threat to local sustainable development in dryland Asia, one of the largest grassland ecosystems in the world. However, empirical-and science-based evidence regarding the extent of drought changes and the future trends of these changes in dryland Asia is variable and incomplete. Here, we first investigate the historical variations in drought conditions in dryland Asia, as measured by the drought intensity and arid area, using three widely used drought indices (the Palmer Drought Seve… Show more

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Cited by 69 publications
(44 citation statements)
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References 41 publications
(41 reference statements)
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“…In contrast, the increase at RCP8.5 showed an increase in SCSF in Australia; however, the magnitude of the increase will be less than the former. And because the future temperature rise will further reduce Asia's runoff (Miao, 2020), near 30°N in Asia, the carbon sink of RCP4.5, which is less warm, will be higher than that of RCP8.5.…”
Section: Resultsmentioning
confidence: 99%
“…In contrast, the increase at RCP8.5 showed an increase in SCSF in Australia; however, the magnitude of the increase will be less than the former. And because the future temperature rise will further reduce Asia's runoff (Miao, 2020), near 30°N in Asia, the carbon sink of RCP4.5, which is less warm, will be higher than that of RCP8.5.…”
Section: Resultsmentioning
confidence: 99%
“…Drought condition is closely connected with water balance, which is a function of precipitation, local evapotranspiration and surface water runoff. The evapotranspiration is a primary component of the water cycle, and thus, a major determinant of severe drought in the warmer world (Miao et al ., 2020). In humid and the southern part of the temperate semi‐humid region, a significant drying tendency is found under SSP2‐4.5, SSP3‐7.0 and SSP5‐8.5 during 2020–2099, concurring with the research using CMIP5 datasets under RCP4.5 and RCP8.5, estimated by SPEI (Wang and Chen, 2014).…”
Section: Discussionmentioning
confidence: 99%
“…The dataset is prepared by using an angular distance weighting interpolation technique, with no missing pixels [41]. The use of the CRU gridded dataset has been found to be a good representative of climatic conditions over dry regions [42]. The CRU dataset has three distinct variable types, which (a) In recent times, there has been a rise in the frequency of droughts, and they are expected to increase in the near future, primarily due to the increase in temperature and the decrease in rainfall [38,39].…”
Section: Data Used and Methodologymentioning
confidence: 99%
“…The dataset is prepared by using an angular distance weighting interpolation technique, with no missing pixels [41]. The use of the CRU gridded dataset has been found to be a good representative of climatic conditions over dry regions [42]. The CRU dataset has three distinct variable types, which cumulate to ten variables and have been widely used for several applications for assessing climatic variability [43].…”
Section: Data Used and Methodologymentioning
confidence: 99%