Global Evapotranspiration Datasets Assessment Using Water Balance in South America

• Published in: Remote Sensing
• Main Authors: Ruhoff, Anderson, de Andrade, Bruno Comini, Laipelt, Leonardo, Fleischmann, Ayan Santos, Siqueira, Vinícius Alencar, Moreira, Adriana Aparecida, Barbedo, Rafael, Cyganski, Gabriele Leão, Fernandez, Gabriel Matte Rios, Brêda, João Paulo Lyra Fialho, de Paiva, Rodrigo Cauduro Dias, Meller, Adalberto, de Amorim Teixeira, Alexandre, Araújo, Alexandre Abdalla, Fuckner, Marcus André, Biggs, Trent
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2022
• Subjects: BESS; ERA5; GLDAS; GLEAM; MOD16; PML; SSEBop; Terra Climate; basin water balance; global evapotranspiration; Gleam; Uruguay; Northeast Atlantic
• Online Access: https://research.wur.nl/en/publications/global-evapotranspiration-datasets-assessment-using-water-balance; https://doi.org/10.3390/rs14112526

Evapotranspiration (ET) connects the land to the atmosphere, linking water, energy, and carbon cycles. ET is an essential climate variable with a fundamental importance, and accurate assessments of the spatiotemporal trends and variability in ET are needed from regional to continental scales. This study compared eight global actual ET datasets (ETgl) and the average actual ET ensemble (ETens) based on remote sensing, climate reanalysis, land-surface, and biophysical models to ET computed from basin-scale water balance (ETwb) in South America on monthly time scale. The 50 small-to-large basins covered major rivers and different biomes and climate types. We also examined the magnitude, seasonality, and interannual variability of ET, comparing ETgl and ETens with ETwb. Global ET datasets were evaluated between 2003 and 2014 from the following datasets: Breathing Earth System Simulator (BESS), ECMWF Reanalysis 5 (ERA5), Global Land Data Assimilation System (GLDAS), Global Land Evaporation Amsterdam Model (GLEAM), MOD16, Penman–Monteith–Leuning (PML), Operational Simplified Surface Energy Balance (SSEBop) and Terra Climate. By using ETwb as a basis for comparison, correlation coefficients ranged from 0.45 (SSEBop) to 0.60 (ETens), and RMSE ranged from 35.6 (ETens) to 40.5 mm·month−1 (MOD16). Overall, ETgl estimates ranged from 0 to 150 mm·month−1 in most basins in South America, while ETwb estimates showed maximum rates up to 250 mm·month−1. ETgl varied by hydroclimatic regions: (i) basins located in humid climates with low seasonality in precipitation, including the Amazon, Uruguay, and South Atlantic basins, yielded weak correlation coefficients between monthly ETgl and ETwb, and (ii) tropical and semiarid basins (areas where precipitation demonstrates a strong seasonality, as in the São Francisco, Northeast Atlantic, Paraná/Paraguay, and Tocantins basins) yielded moderate-to-strong correlation coefficients. An assessment of the interannual variability demonstrated a disagreement between ETgl and ETwb in the humid ...