Abstract. The Global Surface Turbulence Heat Flux Dataset (GHFD) presents a dataset of surface latent heat flux and sensible heat flux, at spatial resolutions of 0.25°×0.25° and daily available from 1993 to 2023. The GHFD is generated using the IBTrACS, OISST, CCMP, Copernicus Marine, and ERA5 datasets, with the wind speed field adjusted to incorporate tropical cyclone (TC) information and using the COARE 3.6 algorithm to conduct the heat flux calculations. The GHFD includes seven meteorological elements at the air-sea interface, including surface latent and sensible heat flux, 2-m specific humidity, sea surface temperature, 2-m air temperature, sea surface salinity and 10-m wind speed. A comparison between GHFD and various flux products (J-OFURO 3, OAFlux, ifremerflux) in terms of the fundamental components is conducted with moored observation data, in-situ observation data, and high-resolution simulation data. Results show an improvement of GHFD compared to the other three flux products in resolving TCs. The GHFD dataset in NetCDF format is freely available for download at https://doi.org/10.57760/sciencedb.24400 (Peng et al., 2025).
Received: 29 Aug 2025 – Discussion started: 14 Oct 2025
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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.
This study addresses the prominent bias of existing heat flux products under high wind speed...