Improving the evapotranspiration estimation by considering the effect of flux footprint climatology
文献类型：期刊论文
| 作者 | Bian, Jiang1; Hu, Xiaolong1; Shi, Liangsheng1; Min, Leilei2,3; Zhang, Yucui2,3; Shen, Yanjun2,3,4; Zhao, Fenghua5; Zha, Yuanyuan1; Lian, Xie1; Huang, Jiesheng1 |
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2024-03-01 |
| 卷号 | 631页码:16 |
| 关键词 | Flux footprint climatology Evapotranspiration Surface conductance Vegetation indices UAV |
| ISSN号 | 0022-1694 |
| DOI | 10.1016/j.jhydrol.2024.130769 |
| 通讯作者 | Shi, Liangsheng(liangshs@whu.edu.cn) |
| 英文摘要 | Eddy covariance (EC) is a common approach for observing evapotranspiration (ET). In the EC system, there is a varying flux footprint climatology which causes a spatial mismatch between the forcing data from the ET model and EC observations, generating extra errors in estimating ET. This study endeavored to reduce the error caused by the spatial scale inconsistency between forcing data and ET measurements employing joint observations from EC system, unmanned aerial vehicle (UAV), and satellites under the flux footprint theory and the Penman-Monteith (P-M) model. The joint observations were performed in 2020 at the LuanCheng (LES) and YuCheng (YES) sites. Surface conductance for the varying flux footprint climatology was retrieved from EC observations using the inverted P-M model. The vegetation indices from various remote sensing platforms, including UAV, MODIS, Landsat 8, and Sentinel-2, were retrieved and employed to evaluate surface conductance and ET within the flux footprint climatology. The findings indicated that varying flux footprint climatology had a significant impact on the accuracy of ET estimation. The UAV, Landsat 8, and Sentinel-2 data all generated good ET estimations (LES: R-2 > 0.72, RMSE < 0.81 mm day(-1); YES: R-2 > 0.74, RMSE < 0.91 mm day(-1)) in the 80 % and 90 % flux footprint climatology. In contrast, MODIS, Landsat 8, and Sentinel-2 obtained worse ET performance at LES (R-2 < 0.65, RMSE > 0.88 mm day(-1)) and YES (R-2 < 0.67, RMSE > 0.90 mm day(-1)) when flux footprint climatology was disregarded. Among the four remote sensing platforms, UAV remote sensing images integrated with the flux footprint model significantly enhanced the accuracy of ET estimation (LES: R-2 = 0.83, RMSE = 0.66 mm day(-1); YES: R-2 = 0.84, RMSE = 0.55 mm day(-1)). This study demonstrated that considering flux footprint climatology can acquire accurate ET estimates. |
| WOS关键词 | PENMAN-MONTEITH EQUATION ; ENERGY-BALANCE CLOSURE ; SURFACE-ENERGY ; LAND-SURFACE ; PASSIVE MICROWAVE ; WATER ; MODIS ; SOIL ; MODELS ; EVAPORATION |
| 资助项目 | Priority Research and Development Projects for Ningxia[2021BBF02027] ; National Natural Science Foundation of China[51979200] |
| WOS研究方向 | Engineering ; Geology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001178391800001 |
| 出版者 | ELSEVIER |
| 资助机构 | Priority Research and Development Projects for Ningxia ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/203545]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Shi, Liangsheng |
| 作者单位 | 1.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn Sc, Wuhan 430072, Hubei, Peoples R China 2.Chinese Acad Sci, Inst Genet & Dev Biol, Ctr Agr Resources Res, Key Lab Agr Water Resources,Hebei Key Lab Water Sa, Shijiazhuang 050021, Peoples R China 3.Chinese Acad Sci, Innovat Acad Seed Design, Beijing 100101, Peoples R China 4.Univ Chinese Acad Sci, Sch Adv Agr Sci, Beijing 100049, Peoples R China 5.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Bian, Jiang,Hu, Xiaolong,Shi, Liangsheng,et al. Improving the evapotranspiration estimation by considering the effect of flux footprint climatology[J]. JOURNAL OF HYDROLOGY,2024,631:16. |
| APA | Bian, Jiang.,Hu, Xiaolong.,Shi, Liangsheng.,Min, Leilei.,Zhang, Yucui.,...&Huang, Jiesheng.(2024).Improving the evapotranspiration estimation by considering the effect of flux footprint climatology.JOURNAL OF HYDROLOGY,631,16. |
| MLA | Bian, Jiang,et al."Improving the evapotranspiration estimation by considering the effect of flux footprint climatology".JOURNAL OF HYDROLOGY 631(2024):16. |
入库方式： OAI收割
来源：地理科学与资源研究所
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