中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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
DOI10.1016/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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