基于CAS-ESM2的青藏高原蒸散发的模拟与预估
收稿日期: 2021-05-07
修回日期: 2021-07-26
网络出版日期: 2021-09-22
基金资助
国家重点研发计划项目“高分辨率全球陆面过程模式研发与应用”(2017YFA0604304);国家自然科学基金面上项目“青藏高原雪上吸收性气溶胶沉降对地表能量和水分循环影响的模拟研究”(41975119)
Simulation and Projection of Evapotranspiration over the Tibetan Plateau Based on CAS-ESM2
Received date: 2021-05-07
Revised date: 2021-07-26
Online published: 2021-09-22
Supported by
the National Key Research and Development Program of China "Development of global high resolution land surface model and its applications"(2017YFA0604304);The National Natural Science Foundation of China "Simulation of the effect of absorptive aerosol deposition on snow to land surface energy and water cycle over the Tibetan Plateau"(41975119)
利用GLEAM V3.3a实际蒸散发资料,评估了中国科学院地球系统模式(CAS-ESM2)对青藏高原蒸散发的模拟性能,并给出了模式对未来气候变化情景下高原蒸散发变化的预估。结果表明:CAS-ESM2可以较好地模拟出青藏高原蒸散发的空间分布与季节循环特征,以及1981—2014年蒸散发的增加趋势,但趋势的幅值相对观测偏弱。未来预估试验结果显示,4种不同未来共享社会经济路径(SSPs)情景下青藏高原蒸散发均普遍增加,其中SSP585情景下的增加最为显著,且喜马拉雅山脉地区蒸散发的增加量值最大。相较于1995—2014年历史时期,年均蒸散发在2041—2060年增加46.3~65.8 mm,增幅为13.4%~19.0%;2081—2100年,年均蒸散发增加75.7~151.1 mm,增幅为21.7%~43.6%。影响蒸散发未来变化的因素具有区域性差异,高原中部和南部受气温变化影响更大,而柴达木盆地、羌塘高原中部受降水变化影响更大。
关键词: 蒸散发; 青藏高原; 地球系统模式CAS-ESM2; 模式评估; 气候变化预估
田凤云 , 吴成来 , 张贺 , 林朝晖 . 基于CAS-ESM2的青藏高原蒸散发的模拟与预估[J]. 地球科学进展, 2021 , 36(8) : 797 -809 . DOI: 10.11867/j.issn.1001-8166.2021.084
The performance of Earth System Model Version 2 of the Chinese Academy of Sciences (CAS-ESM2) in simulating the evapotranspiration over the Tibetan Plateau was evaluated using the GLEAM dataset, i.e., Global Land Surface Evaporation: the Amsterdam Methodology Version 3.3a. Then, the projected future changes of evapotranspiration and relevant meteorological variables over the Tibetan Plateau using CAS-ESM2 were also been presented. The results show that CAS-ESM2 can reasonably reproduce the observed geographical distribution and seasonal cycle of evapotranspiration over the Tibetan Plateau. CAS-ESM2 can also reproduce the increasing trend of evapotranspiration during 1981-2014 over the plateau, but with relatively weaker magnitudes. Based on the CAS-ESM2 projection results under four different Shared Socioeconomic Pathways (SSP) scenarios,
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