2021
DOI: 10.1016/j.ejrh.2021.100893
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Evaluating the performance of streamflow simulated by an eco-hydrological model calibrated and validated with global land surface actual evapotranspiration from remote sensing at a catchment scale in West Africa

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Cited by 14 publications
(6 citation statements)
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“…GLEAM v3b is an AET dataset generated by a combination of remote sensing observations from several satellites, highly validated with eddy-covariance towers and in-situ sensors ( Martens et al, 2017 ), covering a data period from 2003 to 2015 at a spatial resolution of 0.25° regular grid. In recent years, several studies have satisfactorily applied and validated the satellite-based AET calibration and validation process with GLEAM ( Bennour et al, 2022 ; Odusanya et al, 2021 ; Puertes et al, 2021 ; López-Ballesteros et al, 2019 ).…”
Section: Methodsmentioning
confidence: 99%
“…GLEAM v3b is an AET dataset generated by a combination of remote sensing observations from several satellites, highly validated with eddy-covariance towers and in-situ sensors ( Martens et al, 2017 ), covering a data period from 2003 to 2015 at a spatial resolution of 0.25° regular grid. In recent years, several studies have satisfactorily applied and validated the satellite-based AET calibration and validation process with GLEAM ( Bennour et al, 2022 ; Odusanya et al, 2021 ; Puertes et al, 2021 ; López-Ballesteros et al, 2019 ).…”
Section: Methodsmentioning
confidence: 99%
“…25% < PBIAS < 25%, "good" if KGE > 0.65 and -15% < PBIAS < 15%, and "very good" if KGE > 0.75 and -10% < PBIAS < 10% (Moriasi et al, 2007;Odusanya et al, 2021).…”
Section: Calibration and Validationmentioning
confidence: 99%
“…The pre-calibration helped to identify the major sensitivity parameters and then further tuned in the post-calibration. Now days the GIS based time series of regional AE data is used in data scarce scenarios to calibrate and validate the hydrological model [33,41,42]. In this study, the performance of models was evaluated with an open source GIS based global AE model.…”
Section: Model Calibration and Validationmentioning
confidence: 99%
“…The coarse spatial resolution of the data hinders its application to catchment scale studies. However, many researchers were incorporated GLEAM data to calibrate and validate the catchment scale hydrological models [33,[41][42][43]. In this study GLEAM v3.6a monthly AE data from 2001 to 2020 (i.e., 240 months) were used to validate sub catchment scale SWAT simulated AE.…”
Section: Calibration and Validationmentioning
confidence: 99%