Articles | Volume 18, issue 9
https://doi.org/10.5194/essd-18-6421-2026
https://doi.org/10.5194/essd-18-6421-2026
Data description article
 | 
04 Sep 2026
Data description article |  | 04 Sep 2026

A Global Surface Turbulence Heat Flux Dataset resolving tropical cyclones

Weixiang Peng, Zhanhong Ma, Deyuan Zhang, Hexin Ye, and Jianfang Fei

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Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2026-300,https://doi.org/10.5194/essd-2026-300, 2026
Revised manuscript under review for ESSD
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Cited articles

Andersson, A., Fennig, K., Klepp, C., Bakan, S., Graßl, H., and Schulz, J.: The Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data – HOAPS-3, Earth Syst. Sci. Data, 2, 215–234, https://doi.org/10.5194/essd-2-215-2010, 2010. 
Andersen, T. K., Radcliffe, D. E., and Shepherd, J. M.: Quantifying surface energy fluxes in the vicinity of Inland-Tracking tropical cyclones, J. Appl. Meteorol. Clim., 52, 2797–2808, https://doi.org/10.1175/JAMC-D-13-035.1, 2013. 
Bentamy, A., Grodsky, S. A., Elyouncha, A., Chapron, B., and Desbiolles, F.: Homogenization of scatterometer wind retrievals, Int. J. Climatol., 37, 870–889, https://doi.org/10.1002/joc.4746, 2017. 
Bentamy, A., Grodsky, S. A., Katsaros, K., Mestas-Nuñez, A. M., Blanke, B., and Desbiolles, F.: Improvement in air–sea flux estimates derived from satellite observations, Int. J. Remote Sens., 34, 5243–5261, https://doi.org/10.1080/01431161.2013.787502, 2013. 
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Short summary
This study addresses the prominent bias of existing heat flux products under high wind speed condition. By adopting the wind speed profile within the tropical cyclone (TC) region proposed by Willoughby to reconstruct the TC wind speed in reanalysis dataset, the pre-prepared datasets input into the bulk algorithm version 3.6 to obtain a new heat flux dataset. The results of comparing with other heat flux datasets indicate that there is considerable improvement compared with other three products.
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