This study aimed to assess the changes in aridity in East Asia (EA) over the next 80 years for the restriction of global warming based on Paris Agreement goals. Eight General Circulation Models (GCMs) that provide simulations for 1.5 and 2.0 degrees C global warming scenarios were used for this purpose. The Penman-Monteith Equation was utilized to calculate potential evapotranspiration (PET). The land-use projections data was used to identify the agricultural lands that aridity could impact. The results showed a likely increase in rainfall and PET in EA over the next 80 years. However, the spatial variability of the relative increase in rainfall and PET would cause an aridity shift in 1.2-9.7% of the total land area. Though most of the area would experience a transition to a wetter climate, nearly 2% of the land would experience a transition to a drier climate. It would cause nearly 4.4 and 6.2 thousand km2 of agricultural land to be converted from semi-arid to arid and 31.1 and 42.2 thousand km2 of land from sub-humid to semi-arid in the early period for 1.5 and 2.0 degrees C temperature rise scenarios, respectively. This indicates nearly one and a half times more expansion of aridity on agricultural land in the early period for only a 0.5 degrees C increase in temperature. A decrease in aridity in the far future for both scenarios would cause a reduction of total arid lands and, thus, its impacts on agriculture. Overall, the study revealed a possible reduction of aridity in EA in the long run if the Paris Agreement is enforced and global warming is limited.
机构:
Chinese Academy of Meteorological Sciences
University of Chinese Academy of Sciences
Jiangxi Provincial Climate CenterChinese Academy of Meteorological Sciences
Mingjin ZHAN
Xiucang LI
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机构:
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/School of Geography and Remote Sensing, Nanjing University of Information Science & Technology
National Climate Center,China Meteorological AdministrationChinese Academy of Meteorological Sciences
Xiucang LI
Hemin SUN
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机构:
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/School of Geography and Remote Sensing, Nanjing University of Information Science & TechnologyChinese Academy of Meteorological Sciences
Hemin SUN
Jianqing ZHAI
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机构:
National Climate Center,China Meteorological AdministrationChinese Academy of Meteorological Sciences
Jianqing ZHAI
Tong JIANG
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机构:
National Climate Center,China Meteorological AdministrationChinese Academy of Meteorological Sciences
Tong JIANG
Yanjun WANG
论文数: 0引用数: 0
h-index: 0
机构:
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/School of Geography and Remote Sensing, Nanjing University of Information Science & TechnologyChinese Academy of Meteorological Sciences
机构:Chinese Academy of Meteorological Sciences,Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/School of Geography and Remote Sensing
Mingjin Zhan
Xiucang Li
论文数: 0引用数: 0
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机构:Chinese Academy of Meteorological Sciences,Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/School of Geography and Remote Sensing
Xiucang Li
Hemin Sun
论文数: 0引用数: 0
h-index: 0
机构:Chinese Academy of Meteorological Sciences,Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/School of Geography and Remote Sensing
Hemin Sun
Jianqing Zhai
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h-index: 0
机构:Chinese Academy of Meteorological Sciences,Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/School of Geography and Remote Sensing
Jianqing Zhai
Tong Jiang
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机构:Chinese Academy of Meteorological Sciences,Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/School of Geography and Remote Sensing
Tong Jiang
Yanjun Wang
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h-index: 0
机构:Chinese Academy of Meteorological Sciences,Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/School of Geography and Remote Sensing
Yanjun Wang
Journal of Meteorological Research,
2018,
32
: 99
-
112
机构:
Chinese Acad Meteorol Sci, Beijing 100081, Peoples R China
Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Jiangxi Prov Climate Ctr, Nanchang 330046, Jiangxi, Peoples R ChinaChinese Acad Meteorol Sci, Beijing 100081, Peoples R China
Zhan, Mingjin
Li, Xiucang
论文数: 0引用数: 0
h-index: 0
机构:
Nanjing Univ Informat Sci & Technol, Sch Geog & Remote Sensing, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing 210044, Jiangsu, Peoples R China
China Meteorol Adm, Natl Climate Ctr, Beijing 100081, Peoples R ChinaChinese Acad Meteorol Sci, Beijing 100081, Peoples R China
机构:
Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Peoples R China
Southern Marine Sci & Engn Guangdong Lab Guangzho, Guangzhou 511458, Peoples R China
Chinese Acad Sci, Innovat Acad South China Sea Ecol & Environm Engn, Guangzhou 510000, Peoples R ChinaChinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Peoples R China
Sun, Xiubao
Wang, Chunzai
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Peoples R China
Southern Marine Sci & Engn Guangdong Lab Guangzho, Guangzhou 511458, Peoples R China
Chinese Acad Sci, Innovat Acad South China Sea Ecol & Environm Engn, Guangzhou 510000, Peoples R ChinaChinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Peoples R China
Wang, Chunzai
Ren, Guoyu
论文数: 0引用数: 0
h-index: 0
机构:
China Univ Geosci, Sch Environm Studies, Dept Atmospher Sci, Wuhan 430074, Peoples R China
China Meteorol Adm, Lab Climate Studies, Natl Climate Ctr, Beijing 100081, Peoples R ChinaChinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Peoples R China