A Method for Deriving All-Sky Evapotranspiration From the Synergistic Use of Remotely Sensed Images and Meteorological Data
文献类型：期刊论文
| 作者 | Leng, Pei2; Li, Zhao-Liang1,2; Duan, Si-Bo2; Tang, Ronglin1; Gao, Mao-Fang2 |
| 刊名 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
 |
| 出版日期 | 2017-12-27 |
| 卷号 | 122期号:24页码:13263-13277 |
| ISSN号 | 2169-897X |
| 关键词 | all-sky evapotranspiration LST FVC feature space Penman-Monteith equation YCES |
| DOI | 10.1002/2017JD027880 |
| 通讯作者 | Li, Zhao-Liang(lizhaoliang@caas.cn) |
| 英文摘要 | Evapotranspiration (ET) is an important component of the water and energy cycle. The present study develops a practical approach for generating all-sky ET with the synergistic use of satellite images and meteorological data. In this approach, the ET over clear-sky pixels is estimated from a two-stage land surface temperature (LST)/fractional vegetation cover feature space method where the dry/wet edges are determined from theoretical calculations. For cloudy pixels, the Penman-Monteith equation is used to calculate the ET where no valid remotely sensed LST is available. An evaluation of the method with ET collected at ground-based large aperture scintillometer measurements at the Yucheng Comprehensive Experimental Station (YCES) in China is performed over a growth period from April to October 2010. The results show that the root-mean-square error (RMSE) and bias over clear-sky pixels are 57.3W/m(2) and 18.2W/m(2), respectively, whereas an RMSE of 69.3W/m(2) with a bias of 12.3W/m(2) can be found over cloudy pixels. Moreover, a reasonable overall RMSE of 65.3W/m(2) with a bias of 14.4W/m(2) at the YCES can be obtained under all-sky conditions, indicating a promising prospect for the derivation of all-sky ET using currently available satellite and meteorological data at a regional or global scale in future developments. |
| WOS关键词 | SURFACE-ENERGY-BALANCE ; SOIL THERMAL PARAMETERS ; SHORTWAVE RADIATION ; SATELLITE IMAGERY ; FLUX ESTIMATION ; HEAT-FLUX ; TEMPERATURE ; ALGORITHM ; MOISTURE ; MODIS |
| 资助项目 | National Natural Science Foundation of China[41601397] ; National Natural Science Foundation of China[41571367] ; China Postdoctoral Science Foundation[2015 M581210] |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| 出版者 | AMER GEOPHYSICAL UNION |
| WOS记录号 | WOS:000419950200019 |
| 资助机构 | National Natural Science Foundation of China ; China Postdoctoral Science Foundation |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/56842]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Zhao-Liang |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 2.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agr Remote Sensing, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Leng, Pei,Li, Zhao-Liang,Duan, Si-Bo,et al. A Method for Deriving All-Sky Evapotranspiration From the Synergistic Use of Remotely Sensed Images and Meteorological Data[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(24):13263-13277. |
| APA | Leng, Pei,Li, Zhao-Liang,Duan, Si-Bo,Tang, Ronglin,&Gao, Mao-Fang.(2017).A Method for Deriving All-Sky Evapotranspiration From the Synergistic Use of Remotely Sensed Images and Meteorological Data.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(24),13263-13277. |
| MLA | Leng, Pei,et al."A Method for Deriving All-Sky Evapotranspiration From the Synergistic Use of Remotely Sensed Images and Meteorological Data".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.24(2017):13263-13277. |
入库方式： OAI收割
来源：地理科学与资源研究所
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