CAMELE: Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data

Land evapotranspiration (ET) is a key element of Earth’s water-carbon system. Accurate estimation of global land ET is essential for better understanding of land-atmosphere interaction. Past decades have witnessed the generation of various ET products. However, the widely used products still contain inherent uncertainty induced by forcing inputs and imperfect model parameterizations. In addition, direct evaluation of ET products is not feasible due to the lack of sufficient global in-situ observations, which hinders our usage and assimilation. Hence, merging a global dataset as reliable benchmark and exploring evaluation method for ET products are of great importance. The aims of our study were as followed: (1) to design and validate a collocation-based method for ET merging; (2) to generate a long-term (1981-2020) ET product employing ERA5, FLUXCOM, PMLV2, GLDAS and GLEAM at 0.1°-8Daily and 0.25°-Daily resolutions. The produced Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data (CAMELE) was then compared with others at point and regional scales. At the point scale, the results showed that the CAMELE performed well over different vegetation coverage. The accuracy of CAMELE was validated against in-situ observations with Pearson Correlation of 0.68, 0.62 and root mean square error of 0.84 and 1.03 mm/d on average over 0.1° and 0.25°, respectively. In terms of Kling-Gupta Efficiency, CAMELE ET obtained results superior (mean 0.52) to the second best ERA5 (mean 0.44) at 0.1° basis. For global comparison, the spatial distribution of multi-year average and annual variation were in consistent with others. Our merged product revealed increased ET in South Asia, Northwest Australia, and decreases in Amazon Plain and Congo Basin.