Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 9
Articles | Volume 16, issue 9
https://doi.org/10.5194/essd-16-3993-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-3993-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 9
Data description paper
 | 
12 Sep 2024
Data description paper |  | 12 Sep 2024

Satellite-based near-real-time global daily terrestrial evapotranspiration estimates

Lei Huang, Yong Luo, Jing M. Chen, Qiuhong Tang, Tammo Steenhuis, Wei Cheng, and Wen Shi

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Short summary
Timely global terrestrial evapotranspiration (ET) data are crucial for water resource management and drought forecasting. This study introduces the VISEA algorithm, which integrates satellite data and shortwave radiation to provide daily 0.05° gridded near-real-time ET estimates. By employing a vegetation index–temperature method, this algorithm can estimate ET without requiring additional data. Evaluation results demonstrate VISEA's comparable accuracy with accelerated data availability.
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