A multiscale attribution framework for separating the effects of cascade and individual reservoirs on runoff

Jie, Yongsheng; Qin, Hui; Jia, Benjun; Tian, Mengqi; Lou, Sijing; Liu, Guanjun; Huang, Yuanjian

doi:10.1016/j.scitotenv.2024.172784

Science of The Total Environment

2024

DOI: 10.1016/j.scitotenv.2024.172784

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A multiscale attribution framework for separating the effects of cascade and individual reservoirs on runoff

Yongsheng Jie,

Hui Qin,

Benjun Jia

et al.

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Different Vegetation Covers Leading to the Uncertainty and Consistency of ET Estimation: A Case Study Assessment with Extended Triple Collocation

Li,

Sun,

Yang

et al. 2024

Remote Sensing

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Accurate and reliable estimation of actual evapotranspiration (AET) is essential for various hydrological studies, including drought prediction, water resource management, and the analysis of atmospheric–terrestrial carbon exchanges. Gridded AET products offer potential for application in ungauged areas, but their uncertainties may be significant, making it difficult to identify the best products for specific regions. While in situ data directly estimate gridded ET products, their applicability is limited in ungauged areas that require FLUXNET data. This paper employs an Extended Triple Collocation (ETC) method to estimate the uncertainty of Global Land Evaporation Amsterdam Model (GLEAM), Famine Early Warning Systems Network (FLDAS), and Maximum Entropy Production (MEP) AET product without requiring prior information. Subsequently, a merged ET product is generated by combining ET estimates from three original products. Furthermore, the study quantifies the uncertainty of each individual product across different vegetation covers and then compares three original products and the Merged ET with data from 645 in situ sites. The results indicate that GLEAM covers the largest area, accounting for 39.1% based on the correlation coefficient criterion and 39.9% based on the error variation criterion. Meanwhile, FLDAS and MEP exhibit similar performance characteristics. The merged ET derived from the ETC method demonstrates the ability to mitigate uncertainty in ET estimates in North American (NA) and European (EU) regions, as well as tundra, forest, grassland, and shrubland areas. This merged ET could be effectively utilized to reduce uncertainty in AET estimates from multiple products for ungauged areas.

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Different Vegetation Covers Leading to the Uncertainty and Consistency of ET Estimation: A Case Study Assessment with Extended Triple Collocation

Li,

Sun,

Yang

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

show abstract

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A multiscale attribution framework for separating the effects of cascade and individual reservoirs on runoff

Cited by 1 publication

References 52 publications

Different Vegetation Covers Leading to the Uncertainty and Consistency of ET Estimation: A Case Study Assessment with Extended Triple Collocation

Different Vegetation Covers Leading to the Uncertainty and Consistency of ET Estimation: A Case Study Assessment with Extended Triple Collocation

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