Multimodel-based analyses of evapotranspiration and its controls in China over the last three decades
文献类型:期刊论文
作者 | Sun, Shaobo2; Song, Zhaoliang2; Chen, Xi2,3; Wang, Tiejun2,3; Zhang, Yonggen2,3; Zhang, Dongbo2; Zhang, Huifang4; Hao, Qian2; Chen, Baozhang1,4 |
刊名 | ECOHYDROLOGY
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出版日期 | 2020-01-31 |
页码 | 13 |
关键词 | climate change evapotranspiration (ET) greening land surface model Tibetan Plateau warming |
ISSN号 | 1936-0584 |
DOI | 10.1002/eco.2195 |
通讯作者 | Song, Zhaoliang(zhaoliang.song@tju.edu.cn) ; Chen, Baozhang(baozhang.chen@igsnrr.ac.cn) |
英文摘要 | Evapotranspiration (ET) plays a key role in linking water, energy, and carbon cycles. However, at regional scales, variations and controls of ET are still not well understood, due to the substantial uncertainties in ET estimates. Here, the variations in ET over China during the last three decades and their drivers and controls were analysed at monthly, seasonal, and annual scales, using well-evaluated land surface model simulations. The results suggested that (a) the spatially averaged ET over China increased during 1979-2012 at each temporal scale. Overall, the ET significantly increased (p < .05) in most of western China and decreased in several regions in eastern China during most months and seasons. (a) The increases in spatially averaged ET during the nongrowing season were mainly determined by warming. The increased annual ET, seasonal ET, and monthly ET within the growing season were jointly caused by vegetation greening and climate warming. (c) During November-March, ET was primarily determined by temperature in most of central China and was determined by water availability in the remaining regions. The annual ET and the monthly ET within April-October were mainly controlled by water availability in most of northern and western China, and several regions in central China, by solar radiation in most of central and southern China and by temperature in some regions in the Tibetan Plateau. The study highlights the large effects of warming and greening on ET over China during the last three decades. The results may benefit water resource management under climate change. |
WOS关键词 | LAND-SURFACE MODELS ; GLOBAL EVAPOTRANSPIRATION ; TERRESTRIAL EVAPOTRANSPIRATION ; CLIMATE-CHANGE ; WATER-BALANCE ; LEAF-AREA ; FLUXES ; CARBON ; MODIS ; CO2 |
资助项目 | National Key Research and Development Program of China[2017YFA0604302] ; National Key Research and Development Program of China[2018YFA0606001] ; National Natural Science Foundation of China[41771114] ; National Natural Science Foundation of China[41801061] ; State Key Laboratory of Resources and Environment Information System[O88RA901YA] ; State Key Laboratory of Resources and Environment Information System[O8R8A085YA] |
WOS研究方向 | Environmental Sciences & Ecology ; Water Resources |
语种 | 英语 |
WOS记录号 | WOS:000510320900001 |
出版者 | WILEY |
资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; State Key Laboratory of Resources and Environment Information System |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/132458] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Song, Zhaoliang; Chen, Baozhang |
作者单位 | 1.Univ Chinese Acad Sci, Beijing, Peoples R China 2.Tianjin Univ, Inst Surface Earth Syst Sci, Tianjin 300072, Peoples R China 3.Tianjin Key Lab Earth Crit Zone Sci & Sustainable, Tianjin, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Sun, Shaobo,Song, Zhaoliang,Chen, Xi,et al. Multimodel-based analyses of evapotranspiration and its controls in China over the last three decades[J]. ECOHYDROLOGY,2020:13. |
APA | Sun, Shaobo.,Song, Zhaoliang.,Chen, Xi.,Wang, Tiejun.,Zhang, Yonggen.,...&Chen, Baozhang.(2020).Multimodel-based analyses of evapotranspiration and its controls in China over the last three decades.ECOHYDROLOGY,13. |
MLA | Sun, Shaobo,et al."Multimodel-based analyses of evapotranspiration and its controls in China over the last three decades".ECOHYDROLOGY (2020):13. |
入库方式: OAI收割
来源:地理科学与资源研究所
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