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Global ocean surface heat fluxes derived from the maximum entropy production framework accounting for ocean heat storage and Bowen ratio adjustments

文献类型：期刊论文

作者Yang, Yong11; Sun, Huaiwei8,9,10,11; Wang, Jingfeng7; Zhang, Wenxin5,6; Zhao, Gang4; Wang, Weiguang3; Cheng, Lei2; Chen, Lu1,11; Qin, Hui11; Cai, Zhanzhang5
刊名EARTH SYSTEM SCIENCE DATA
出版日期2025-03-21
卷号17期号:3页码:1191-1216
ISSN号1866-3508
DOI10.5194/essd-17-1191-2025
产权排序8
文献子类Article
英文摘要Ocean evaporation, represented by latent heat flux (LE), plays a crucial role in global precipitation patterns, water cycle dynamics, and energy exchange processes. However, existing bulk methods for quantifying ocean evaporation are associated with considerable uncertainties. The maximum entropy production (MEP) theory provides a novel framework for estimating surface heat fluxes, but its application over ocean surfaces remains largely unvalidated. Given the substantial heat storage capacity of the deep ocean, which can create temporal mismatches between variations in heat fluxes and radiation, it is crucial to account for heat storage when estimating heat fluxes. This study derived global ocean heat fluxes using the MEP theory, incorporating the effects of heat storage and adjustments to the Bowen ratio (the ratio of sensible heat to latent heat). We utilized multi-source data from seven auxiliary turbulent flux datasets and 129 globally distributed buoy stations to refine and validate the MEP model. The model was first evaluated using observed data from buoy stations, and the Bowen ratio formula that most effectively enhanced the model performance was identified. By incorporating the heat storage effect and adjusting the Bowen ratio within the MEP model, the accuracy of the estimated heat fluxes was significantly improved, achieving an R-2 of 0.99 (regression slope: 0.97) and a root mean square error (RMSE) of 4.7 W m(-2) compared to observations. The improved MEP method successfully addressed the underestimation of LE and the overestimation of sensible heat by the original model, providing new global estimates of LE at 93 W m(-2) and sensible heat at 12 W m(-2) for the annual average from 1988-2017. Compared to the 129 buoy stations, the MEP-derived global LE dataset achieved the highest accuracy, with a mean error (ME) of 1.3 W m(-2), an RMSE of 15.9 W m(-2), and a Kling-Gupta efficiency (KGE) of 0.89, outperforming four major long-term global heat flux datasets, including J-OFURO3, ERA5, MERRA-2, and OAFlux. Analysis of long-term trends revealed a significant increase in global ocean evaporation from 1988-2010 at a rate of 3.58 mm yr(-1), followed by a decline at -2.18 mm yr(-1) from 2010-2017. This dataset provides a new benchmark for the ocean surface energy budget and is expected to be a valuable resource for studies on global ocean warming, sea surface-atmosphere energy exchange, the water cycle, and climate change. The 0.25 degrees monthly global ocean heat flux dataset based on the maximum entropy production method (GOHF-MEP) for 1988-2017 is publicly accessible at https://doi.org/10.6084/m9.figshare.26861767.v2 (Yang et al., 2024).
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WOS关键词AIR-SEA FLUXES ; BULK PARAMETERIZATION ; SENSITIVITY-ANALYSIS ; ENERGY BUDGETS ; EVAPORATION ; WATER ; TEMPERATURE ; LATENT ; COARE ; MODEL
WOS研究方向Geology ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:001448851900001
出版者COPERNICUS GESELLSCHAFT MBH
源URL[http://ir.igsnrr.ac.cn/handle/311030/213247]  
专题陆地水循环及地表过程院重点实验室_外文论文
通讯作者Sun, Huaiwei; Zhang, Wenxin
作者单位1.Tibet Agr & Anim Husb Univ, Sch Water Resources & Civil Engn, Linzhi 860000, Peoples R China
2.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn Sc, Wuhan 430074, Peoples R China;
3.Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China;
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China;
5.Lund Univ, Dept Phys Geog & Ecosyst Sci, S-22100 Lund, Sweden;
6.Univ Glasgow, Sch Geog & Earth Sci, Glasgow G12 8QQ, Scotland;
7.Georgia Inst Technol, Sch Civil & Environm Engn, Atlanta, GA 30318 USA;
8.Shihezi Univ, Coll Water Conservancy & Architectural Engn, Shihezi 832003, Peoples R China;
9.Huazhong Univ Sci & Technol, Inst Water Resources & Hydropower, Wuhan 430074, Peoples R China;
10.Huazhong Univ Sci & Technol, Hubei Key Lab Digital River Basin Sci & Technol, Wuhan 430074, Peoples R China;
推荐引用方式
GB/T 7714		 Yang, Yong,Sun, Huaiwei,Wang, Jingfeng,et al. Global ocean surface heat fluxes derived from the maximum entropy production framework accounting for ocean heat storage and Bowen ratio adjustments[J]. EARTH SYSTEM SCIENCE DATA,2025,17(3):1191-1216.
APA Yang, Yong.,Sun, Huaiwei.,Wang, Jingfeng.,Zhang, Wenxin.,Zhao, Gang.,...&Cai, Zhanzhang.(2025).Global ocean surface heat fluxes derived from the maximum entropy production framework accounting for ocean heat storage and Bowen ratio adjustments.EARTH SYSTEM SCIENCE DATA,17(3),1191-1216.
MLA Yang, Yong,et al."Global ocean surface heat fluxes derived from the maximum entropy production framework accounting for ocean heat storage and Bowen ratio adjustments".EARTH SYSTEM SCIENCE DATA 17.3(2025):1191-1216.

入库方式： OAI收割

来源：地理科学与资源研究所

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