Global open-ocean daily turbulent heat flux dataset (1992–2020) from SSM/I via deep learning

Wang, Haoyu; Wang, Mengjiao; Li, Xiaofeng

doi:10.5194/essd-18-2929-2026

Articles | Volume 18, issue 4

https://doi.org/10.5194/essd-18-2929-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-18-2929-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 4

Data description article

|

28 Apr 2026

Data description article |

| 28 Apr 2026

Global open-ocean daily turbulent heat flux dataset (1992–2020) from SSM/I via deep learning

Haoyu Wang, Mengjiao Wang, and Xiaofeng Li

Supplement

https://doi.org/10.5194/essd-18-2929-2026-supplement

Data sets

DeepFlux v1.0: A Global Open Oceans Daily Heat Flux Dataset For 1992-2020 From SSMI Satellite Data Using Deep Learning Models Haoyu Wang et al. https://doi.org/10.12157/IOCAS.20250823.001

Model code and software

DeepFlux v1.0: A Global Open Oceans Daily Heat Flux Dataset For 1992-2020 From SSMI Satellite Data Using Deep Learning Models Haoyu Wang et al. https://doi.org/10.12157/IOCAS.20250823.001

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Short summary

DeepFlux provides a global, gap-free, daily record of air temperature, humidity, and turbulent heat flux from 1992 to 2020. Using satellite data and deep learning, it fills missing observations and delivers continuous estimates. Tests against in situ measurements show it is closer to reality and more reliable than existing products. This open resource supports improved climate studies and model evaluation.