Articles | Volume 17, issue 3
https://doi.org/10.5194/essd-17-1191-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-1191-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
21 Mar 2025
Data description paper |
| 21 Mar 2025
| 21 Mar 2025
Global ocean surface heat fluxes derived from the maximum entropy production framework accounting for ocean heat storage and Bowen ratio adjustments
Yong Yang
School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Hubei Key Laboratory of Digital River Basin Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
Institute of Water Resources and Hydropower, Huazhong University of Science and Technology, Wuhan 430074, China
College of Water Conservancy and Architectural Engineering, Shihezi University, Shihezi 832003, China
Jingfeng Wang
School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30318, USA
Wenxin Zhang
CORRESPONDING AUTHOR
School of Geographical and Earth Sciences, University of Glasgow, Glasgow, G12 8QQ, UK
Department of Physical Geography and Ecosystem Science, Lund University, Lund 22100, Sweden
Gang Zhao
Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Weiguang Wang
College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
Lei Cheng
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430074, China
Lu Chen
School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
School of Water Resources and Civil Engineering, Tibet Agricultural and Animal Husbandry University, Linzhi 860000, China
Hui Qin
School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Zhanzhang Cai
Department of Physical Geography and Ecosystem Science, Lund University, Lund 22100, Sweden
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Short summary
Traditional methods for estimating ocean heat flux often introduce large uncertainties due to complex parameterizations. To tackle this issue, we developed a novel framework based on maximum entropy production (MEP) theory. By incorporating heat storage effects and refining the Bowen ratio, we enhanced the MEP method's accuracy. This research derives a new long-term global ocean latent heat flux dataset that offers high accuracy, enhancing our understanding of ocean energy dynamics.
Traditional methods for estimating ocean heat flux often introduce large uncertainties due to...
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