This dataset utilizes the Enhanced Maximum Entropy Generation (MEP) framework to re-examine global long-term ocean surface heat flux. The ocean heat reserves and four empirical Bowen's equations were used to improve the estimation of MEP methods. The newly obtained latent heat flux dataset outperforms existing mainstream heat flux products, including J-OFURO3, ERA5, MERRA2, and OAFlux. The dataset files are all in NetCDF (. nc) format, with a monthly temporal resolution, a spatial resolution of 0.25 degrees, and a time span from 1988 to 2017
This dataset provides a new benchmark for ocean surface energy budgeting and is expected to have significant value for research on global ocean warming, surface atmosphere energy exchange, water cycle, and climate change.
Using multi-source data from 129 buoy stations distributed globally and 7 auxiliary turbulence volume datasets.
Using improved MEP methods and multi-source remote sensing observation data as driving inputs, high-precision estimates of global ocean latent and sensible heat fluxes from 1988 to 2017 were generated.
Multi source data from 129 globally distributed buoy stations and 7 auxiliary turbulence flow datasets were used for validation and comparison
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CSTR:11738.11.NCDC.FIGSHARE.DB6647.2024
10.6084/m9.figshare.26861767.v2