Calibrating a remote sensing evapotranspiration model using the Budyko framework
文献类型：期刊论文
| 作者 | Bai, Peng2; Cai, Changxin1,2 |
| 刊名 | AGRICULTURAL AND FOREST METEOROLOGY
 |
| 出版日期 | 2023-11-15 |
| 卷号 | 342页码:10 |
| ISSN号 | 0168-1923 |
| 关键词 | Budyko Parameter calibration Remote sensing Evapotranspiration PML |
| DOI | 10.1016/j.agrformet.2023.109757 |
| 通讯作者 | Bai, Peng(baip@igsnrr.ac.cn) |
| 英文摘要 | Remote sensing (RS) evapotranspiration (ET) models are commonly used to estimate ET at a large scale. These models often include spatially varying parameters that need to be determined. Typically, these parameters are either held as constants or obtained from a pre-specified lookup table, potentially introducing bias into ET estimates. This study aimed to evaluate the feasibility of calibrating a RS ET model using Budyko-derived mean annual ET. We applied this approach to calibrate the single parameter of the Penman-Monteith-Leuning (PML) model. Instead of using the default Budyko-Fu parameter omega (omega=2.6), we developed a data-driven model that relates the basin-calibrated omega and its primary controls. Subsequently, we mapped the spatial pattern of omega across China. The calibrated PML model was evaluated using flux observations from 12 ChinaFlux sites and water balance-based ET estimates from 80 basins in China. Results indicate that the Budyko-based calibration significantly improved the performance of the PML model at both site and basin scales compared to the uncalibrated model. This study highlights the potential of leveraging the Budyko framework to constrain the parameter estimates of RS ET models, thereby enhancing the accuracy of large-scale ET estimates. |
| WOS关键词 | ENERGY-BALANCE ; SURFACE-ENERGY ; STOMATAL CONDUCTANCE ; TERRESTRIAL EVAPOTRANSPIRATION ; GLOBAL EVAPOTRANSPIRATION ; EVAPORATION ; WATER ; TRANSPIRATION ; VARIABILITY ; CHINA |
| 资助项目 | National Key Research and Development Project of China[2021YFC3201204] ; Natural Science Foundation of China[42271033] ; Natural Science Foundation of China[51979263] |
| WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:001091789900001 |
| 资助机构 | National Key Research and Development Project of China ; Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/199213]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Bai, Peng |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Bai, Peng,Cai, Changxin. Calibrating a remote sensing evapotranspiration model using the Budyko framework[J]. AGRICULTURAL AND FOREST METEOROLOGY,2023,342:10. |
| APA | Bai, Peng,&Cai, Changxin.(2023).Calibrating a remote sensing evapotranspiration model using the Budyko framework.AGRICULTURAL AND FOREST METEOROLOGY,342,10. |
| MLA | Bai, Peng,et al."Calibrating a remote sensing evapotranspiration model using the Budyko framework".AGRICULTURAL AND FOREST METEOROLOGY 342(2023):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
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