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
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...