A universal triangle method for evapotranspiration estimation with MODIS products and routine meteorological observations: Algorithm development and global validation
文献类型:期刊论文
作者 | Zhu, Wenbin4; Shi, Xiaorui3; Wei, Jiaxing2 |
刊名 | AGRICULTURAL WATER MANAGEMENT
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出版日期 | 2024-09-01 |
卷号 | 302页码:109017 |
关键词 | Remote sensing Universal solution Domain dependency Global scale Validation and analysis |
DOI | 10.1016/j.agwat.2024.109017 |
产权排序 | 1 |
文献子类 | Article |
英文摘要 | The surface temperature (T-s) and vegetation index (VI) triangle method is one of the most famous and widely applied methods for regional evapotranspiration (ET) estimation. However, no robust validation has been performed yet to evaluate its accuracy on a global scale, making its accuracy unclear when compared with other global ET models. The main reason behind it is that most traditional triangle models depend on the Ts s-VI feature space within a certain spatial domain to parameterize their boundary conditions. The domain dependency makes it impossible to derive universal boundaries for continental or global application. Under this background, this study presented a universal triangle method for ET estimation with Moderate Resolution Imaging Spectroradiometer (MODIS) products and routine meteorological observations. The solution for boundary conditions was performed pixel by pixel without the consideration of spatial domain based configuration. Specifically, the dry boundary was solved theoretically based on the surface energy balance equation, and the wet boundary was substituted by wet-bulb temperature estimated from dew point temperature and air temperature. The validation against ground observations collected from 33 flux towers worldwide shows that this universal triangle method achieved evaporative fraction (EF) estimation with the correlation coefficient of 0.65, the mean absolute error of 0.17, the root-mean-square-error of 0.20, and the bias of 0.13. These four metrics of daily ET estimation were 0.83, 0.71 mm/d, 0.90 mm/d, and 0.41 mm/d, respectively. This analysis is the first comprehensive validation of the triangle method on a global scale. The comparison with early work suggests that our universal triangle method on a global scale has reached a comparable accuracy to traditional triangle models at regional scale. However, the universal triangle method has the capacity to monitor ET continuously pixel by pixel without domain dependency. This is just what most traditional triangle methods do not possess. |
WOS关键词 | LAND-SURFACE EVAPOTRANSPIRATION ; SOUTHERN GREAT-PLAINS ; SOIL-MOISTURE ; AIR-TEMPERATURE ; ENERGY-BALANCE ; HEAT-FLUX ; REGIONAL EVAPOTRANSPIRATION ; SPATIAL VARIABILITY ; EVAPORATION ; MODEL |
WOS研究方向 | Agriculture ; Water Resources |
WOS记录号 | WOS:001301016200001 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/207914] ![]() |
专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
通讯作者 | Zhu, Wenbin |
作者单位 | 1.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China 2.China Univ Geosci, Sch Geog & Informat Engn, Hubei Key Lab Reg Ecol & Environm Change, Wuhan 430074, Peoples R China 3.Qinghai Univ, State Key Lab Plateau Ecol & Agr, Xining, Qinghai, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Zhu, Wenbin,Shi, Xiaorui,Wei, Jiaxing. A universal triangle method for evapotranspiration estimation with MODIS products and routine meteorological observations: Algorithm development and global validation[J]. AGRICULTURAL WATER MANAGEMENT,2024,302:109017. |
APA | Zhu, Wenbin,Shi, Xiaorui,&Wei, Jiaxing.(2024).A universal triangle method for evapotranspiration estimation with MODIS products and routine meteorological observations: Algorithm development and global validation.AGRICULTURAL WATER MANAGEMENT,302,109017. |
MLA | Zhu, Wenbin,et al."A universal triangle method for evapotranspiration estimation with MODIS products and routine meteorological observations: Algorithm development and global validation".AGRICULTURAL WATER MANAGEMENT 302(2024):109017. |
入库方式: OAI收割
来源:地理科学与资源研究所
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