Uncertainties in Evapotranspiration Estimates over West Africa
AbstractAn evapotranspiration (ET) ensemble composed of 36 land surface model (LSM) experiments and four diagnostic datasets (GLEAM, ALEXI, MOD16, and FLUXNET) is used to investigate uncertainties in ET estimate over five climate regions in West Africa. Diagnostic ET datasets show lower uncertainty estimates and smaller seasonal variations than the LSM-based ET values, particularly in the humid climate regions. Overall, the impact of the choice of LSMs and meteorological forcing datasets on the modeled ET rates increases from north to south. The LSM formulations and parameters have the largest impact on ET in humid regions, contributing to 90% of the ET uncertainty estimates. Precipitation contributes to the ET uncertainty primarily in arid regions. The LSM-based ET estimates are sensitive to the uncertainty of net radiation in arid region and precipitation in humid region. This study serves as support for better determining water availability for agriculture and livelihoods in Africa with earth observations and land surface models. View Full-Text
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Jung, H.C.; Getirana, A.; Arsenault, K.R.; Holmes, T.R.; McNally, A. Uncertainties in Evapotranspiration Estimates over West Africa. Remote Sens. 2019, 11, 892.
Jung HC, Getirana A, Arsenault KR, Holmes TR, McNally A. Uncertainties in Evapotranspiration Estimates over West Africa. Remote Sensing. 2019; 11(8):892.Chicago/Turabian Style
Jung, Hahn C.; Getirana, Augusto; Arsenault, Kristi R.; Holmes, Thomas R.; McNally, Amy. 2019. "Uncertainties in Evapotranspiration Estimates over West Africa." Remote Sens. 11, no. 8: 892.
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