Knowledge Management System of Northwest Institute of Plateau Biology, CAS
| Comparison of satellite-based evapotranspiration models over terrestrial ecosystems in China | |
| Chen, Yang1,2,3; Xia, Jiangzhou1,2,3; Liang, Shunlin2,3,4; Feng, Jinming1,5; Fisher, Joshua B.6; Li, Xin7; Li, Xianglan2,3; Liu, Shuguang8; Ma, Zhuguo5; Miyata, Akira9; Mu, Qiaozhen10; Sun, Liang11; Tang, Jianwei12; Wang, Kaicun1,2,3; Wen, Jun7; Xue, Yueju13; Yu, Guirui14; Zha, Tonggang15; Zhang, Li16; Zhang, Qiang12; Zhao, Tianbao5; Zhao, Liang17; Yuan, Wenping1,18 | |
| 2014 | |
| 发表期刊 | REMOTE SENSING OF ENVIRONMENT
 |
| ISSN | 0034-4257 |
| 卷号 | 140页码:279-293 |
| 文章类型 | Article |
| 摘要 | Evapotranspiration (ET) is a key component of terrestrial ecosystems because it links the hydrological, energy, and carbon cycles. Several satellite-based ET models have been developed for extrapolating local observations to regional and global scales, but recent studies have shown large model uncertainties in ET simulations. In this study, we compared eight ET models, including five empirical and three process-based models, with the objective of providing a reference for choosing and improving methods. The results showed that the eight models explained between 61 and 80% of the variability in ET at 23 eddy covariance towers in China and adjacent regions. The mean annual ET for all of China varied from 535 to 852 mm yr(-1) among the models. The interannual variability of yearly ET varied significantly between models during 1982-2009 because of different model structures and the dominant environmental factors employed. Our evaluation results showed that the parameters of the empirical methods may have different combination because the environmental factors of ET are not independent. Although the three process-based models showed high model performance across the validation Sites, there were substantial differences among them in the temporal and spatial patterns of ET, the dominant environment factors and the energy partitioning schemes. The disagreement among current ET models highlights the need for further improvements and validation, which can be achieved by investigating model structures and examining the ET component estimates and the critical model parameters. (C) 2013 Elsevier Inc. All rights reserved.; Evapotranspiration (ET) is a key component of terrestrial ecosystems because it links the hydrological, energy, and carbon cycles. Several satellite-based ET models have been developed for extrapolating local observations to regional and global scales, but recent studies have shown large model uncertainties in ET simulations. In this study, we compared eight ET models, including five empirical and three process-based models, with the objective of providing a reference for choosing and improving methods. The results showed that the eight models explained between 61 and 80% of the variability in ET at 23 eddy covariance towers in China and adjacent regions. The mean annual ET for all of China varied from 535 to 852 mm yr(-1) among the models. The interannual variability of yearly ET varied significantly between models during 1982-2009 because of different model structures and the dominant environmental factors employed. Our evaluation results showed that the parameters of the empirical methods may have different combination because the environmental factors of ET are not independent. Although the three process-based models showed high model performance across the validation Sites, there were substantial differences among them in the temporal and spatial patterns of ET, the dominant environment factors and the energy partitioning schemes. The disagreement among current ET models highlights the need for further improvements and validation, which can be achieved by investigating model structures and examining the ET component estimates and the critical model parameters. (C) 2013 Elsevier Inc. All rights reserved. |
| 关键词 | Evapotranspiration Eddy Covariance Priestley-taylor Penman-monteith |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine ; Technology |
| 关键词[WOS] | SUPPORT VECTOR MACHINE ; GROSS PRIMARY PRODUCTION ; ATMOSPHERE WATER FLUX ; ENERGY-BALANCE ; EDDY COVARIANCE ; NORTHWEST CHINA ; COMBINING MODIS ; AMERIFLUX DATA ; LAND SURFACES ; SOIL-MOISTURE |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS类目 | Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:000329766200024 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://210.75.249.4/handle/363003/4288 |
| 专题 | 中国科学院西北高原生物研究所 |
| 作者单位 | 1.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China 2.Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China 3.Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100875, Peoples R China 4.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA 5.Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm Res Temperate East A, Beijing 100029, Peoples R China 6.CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA 7.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Gansu, Peoples R China 8.Cent South Univ Forestry & Technol, State Engn Lab Southern Forestry Appl Ecol & Tech, Changsha 410004, Hunan, Peoples R China 9.Natl Inst Agroenvironm Sci, Tsukuba, Ibaraki 3058604, Japan 10.Univ Montana, Coll Forestry & Conservat, Missoula, MT 59812 USA 11.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China 12.Meteorol Bur Gansu Prov, Lanzhou 730000, Gansu, Peoples R China 13.South China Agr Univ, Coll Informat, Guangzhou 510642, Guangdong, Peoples R China 14.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Synth Res Ctr Chinese Ecosyst Res Network, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 15.Beijing Forestry Univ, Sch Resources & Environm, Beijing 100083, Peoples R China 16.Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing 100094, Peoples R China 17.Chinese Acad Sci, Northwest Inst Plateau Biol, Key Lab Qinghai Tibetan Plateau Biol Evolut & Ada, Xining 810008, Qinghai, Peoples R China 18.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, State Key Lab Cryosphere Sci, Lanzhou 730000, Gansu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Yang,Xia, Jiangzhou,Liang, Shunlin,et al. Comparison of satellite-based evapotranspiration models over terrestrial ecosystems in China[J]. REMOTE SENSING OF ENVIRONMENT,2014,140:279-293. |
| APA | Chen, Yang.,Xia, Jiangzhou.,Liang, Shunlin.,Feng, Jinming.,Fisher, Joshua B..,...&Yuan, Wenping.(2014).Comparison of satellite-based evapotranspiration models over terrestrial ecosystems in China.REMOTE SENSING OF ENVIRONMENT,140,279-293. |
| MLA | Chen, Yang,et al."Comparison of satellite-based evapotranspiration models over terrestrial ecosystems in China".REMOTE SENSING OF ENVIRONMENT 140(2014):279-293. |
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