Integration of two semi-physical models of terrestrial evapotranspiration using the China Meteorological Forcing Dataset
文献类型：期刊论文
| 作者 | Liu, Meng1,2; Tang, Ronglin1,2 ; Li, Zhao-Liang1,2,3; Yan, Guangjian4
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| 刊名 | INTERNATIONAL JOURNAL OF REMOTE SENSING
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| 出版日期 | 2019 |
| 卷号 | 40期号:5-6页码:1966-1980 |
| ISSN号 | 0143-1161 |
| DOI | 10.1080/01431161.2018.1482026 |
| 通讯作者 | Tang, Ronglin(trl_wd@163.com) |
| 英文摘要 | Combining surface evaporation and plant transpiration, evapotranspiration (ET) is critical to surface water and heat balances as it links water, carbon cycles and energy exchanges. Many models have been developed and are presently used to estimate terrestrial ET. However, there are large model uncertainties among the different models, which present a problem. By combining meteorological reanalysis data from the China Meteorological Forcing Dataset (CMFD) with remote sensing data and observational data during 2002-2009, two semi-physical models, the modified satellite-based Priestley-Taylor (MS-PT) model and a semi-empirical Penman equation-based (SE-PM) model, are used to estimate ET and are validated using in situ measurements collected at 22 flux tower sites in China. Then support vector machine (SVM) method is used to integrate these two semi-physical models to improve the accuracy of ET estimates for eight different vegetation types separately, as well as all of these types together. The integrated model likely explains 56-94% of the land surface ET changes indicated by the observations collected at the flux tower sites. The ET predictions obtained by driving the models with the reanalysis data (for which the relative bias and the relative root mean square error (RMSE) for all types of the SVM were 6 and 51W m(-2), respectively, and the maximum decrease of the relative RMSE for different types is nearly 20W m(-2)) are less accurate than those obtained by driving the models with the observational data (for which the relative bias and the relative RMSE for all types of the SVM are 4 and 43W m(-2), respectively). Compared to the individual semi-physical models, the results produced by the integrated model display significantly decreased bias (less than 5W m(-2) for all types) and RMSE (for which the maximum decrease is nearly 71W m(-2)) in the validation. |
| WOS关键词 | LATENT-HEAT FLUX ; EDDY COVARIANCE ; INSTANTANEOUS EVAPOTRANSPIRATION ; MODIS ; FIELD |
| 资助项目 | National Key R&D Program of China[2018YFA0605401] ; Youth Innovation Promotion Association CAS[2015039] ; National Natural Science Foundation of China[41571351] ; National Natural Science Foundation of China[41571367] ; National Natural Science Foundation of China[41401659] ; International Science and Technology Cooperation Program of China[2014DFE10220] |
| WOS研究方向 | Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000464043900023 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 资助机构 | National Key R&D Program of China ; Youth Innovation Promotion Association CAS ; National Natural Science Foundation of China ; International Science and Technology Cooperation Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/48099]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Tang, Ronglin |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agri Informat, Beijing, Peoples R China 4.Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Meng,Tang, Ronglin,Li, Zhao-Liang,et al. Integration of two semi-physical models of terrestrial evapotranspiration using the China Meteorological Forcing Dataset[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2019,40(5-6):1966-1980. |
| APA | Liu, Meng,Tang, Ronglin,Li, Zhao-Liang,&Yan, Guangjian.(2019).Integration of two semi-physical models of terrestrial evapotranspiration using the China Meteorological Forcing Dataset.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(5-6),1966-1980. |
| MLA | Liu, Meng,et al."Integration of two semi-physical models of terrestrial evapotranspiration using the China Meteorological Forcing Dataset".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.5-6(2019):1966-1980. |
入库方式： OAI收割
来源：地理科学与资源研究所
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