Preprints
https://doi.org/10.5194/essd-2021-456
https://doi.org/10.5194/essd-2021-456
 
01 Mar 2022
01 Mar 2022
Status: this preprint is currently under review for the journal ESSD.

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

Changming Li1, Hanbo Yang1, Wencong Yang1, Ziwei Liu1, Yao Jia1, Sien Li2, and Dawen Yang1 Changming Li et al.
  • 1State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University. Beijing 100084, China
  • 2Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China

Abstract. 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. The CAMELE products is freely available at https://doi.org/10.5281/zenodo.6283239 (Li et al., 2021).

Changming Li et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-456', Jianzhi Dong, 09 Mar 2022
  • RC2: 'Comment on essd-2021-456', Anonymous Referee #2, 29 Apr 2022

Changming Li et al.

Data sets

CAMELE: Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data Changming Li, Hanbo Yang https://doi.org/10.5281/zenodo.6283239

Changming Li et al.

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Short summary
A long-term (1980–2020) global ET product is generated based on a collocation-based merging method. The produced Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data (CAMELE) performed well over different vegetation coverage against in-situ data. For global comparison, the spatial distribution of multi-year average and annual variation were in consistent with inputs.The CAMELE products is freely available at https://doi.org/10.5281/zenodo.6283239 (Li et al., 2021).