Articles | Volume 17, issue 8
https://doi.org/10.5194/essd-17-3835-2025
https://doi.org/10.5194/essd-17-3835-2025
Data description paper
 | 
08 Aug 2025
Data description paper |  | 08 Aug 2025

A benchmark dataset for global evapotranspiration estimation based on FLUXNET2015 from 2000 to 2022

Wangyipu Li, Zhaoyuan Yao, Yifan Qu, Hanbo Yang, Yang Song, Lisheng Song, Lifeng Wu, and Yaokui Cui

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A benchmark dataset for global evapotranspiration estimation based on FLUXNET2015 from 2000 to 2022 (V1.0) Wangyipu Li et al. https://doi.org/10.5281/zenodo.13853409

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Short summary
Due to shortcomings such as extensive data gaps and limited observation durations in current ground-based latent heat flux (LE) datasets, we developed a novel gap-filling and prolongation framework for ground-based LE observations, establishing a benchmark dataset for global evapotranspiration (ET) estimation from 2000 to 2022 across 64 sites at various timescales. This comprehensive dataset can strongly support ET modeling, water–carbon cycle monitoring, and long-term climate change analysis.
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