Articles | Volume 18, issue 5
https://doi.org/10.5194/essd-18-3391-2026
https://doi.org/10.5194/essd-18-3391-2026
Data description article
 | 
19 May 2026
Data description article |  | 19 May 2026

Bowen ratio-constrained global dataset of bulk air–sea turbulent heat fluxes from 1993 to 2017

Yizhe Wang, Ronglin Tang, Meng Liu, Lingxiao Huang, and Zhao-Liang Li

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Short summary
We developed a new global daily dataset of turbulent heat exchanges between the ocean and atmosphere from 1993 to 2017. Utilizing a novel approach that combines machine learning with physical constraints, our model generates more accurate and physically reasonable estimates compared to existing datasets. This advancement enables improved understanding of ocean-atmosphere interactions, which are crucial for monitoring Earth's energy and water cycles and enhancing climate change projections.
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