Comparing the ability of different remotely sensed evapotranspiration products in enhancing hydrological model performance and reducing prediction uncertainty

Taia, Soufiane; Scozzari, Andrea; Erraioui, Lamia; Kili, Malika; Mridekh, Abdelaziz; Haida, Souad; Chao, Jamal; El Mansouri, Bouabid

doi:10.1016/j.ecoinf.2023.102352

Ecological Informatics

2023

DOI: 10.1016/j.ecoinf.2023.102352

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Comparing the ability of different remotely sensed evapotranspiration products in enhancing hydrological model performance and reducing prediction uncertainty

Soufiane Taia,

Andrea Scozzari,

Lamia Erraioui

et al.

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2024

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Cited by 4 publications

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Enhanced calibration of a distributed hydrological model in the Brazilian Semi-Arid: integrating spatiotemporal evapotranspiration and streamflow data

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2024

Environ Earth Sci

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Comparing the ability of different remotely sensed evapotranspiration products in enhancing hydrological model performance and reducing prediction uncertainty

Cited by 4 publications

References 68 publications

Enhanced calibration of a distributed hydrological model in the Brazilian Semi-Arid: integrating spatiotemporal evapotranspiration and streamflow data

Enhanced calibration of a distributed hydrological model in the Brazilian Semi-Arid: integrating spatiotemporal evapotranspiration and streamflow data

Revolutionizing the future of hydrological science: Impact of machine learning and deep learning amidst emerging explainable AI and transfer learning

Applicability analysis of different evapotranspiration models for maize farmland in the lower Yellow River Plain based on eddy covariance measurements

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