GSDM-WBT: global station-based daily maximum wet-bulb temperature data for 1981–2020

Abstract. The wet-bulb temperature (WBT; TW) comprehensively characterizes the and humidity of thermal environment is a relevant variable to describe energy regulation human body. daily maximum TW can be effectively used in monitoring humid heat waves their effects on health. Because meteorological stations differ temporal resolution are susceptible non-climatic influences, it difficult provide complete homogeneous long-term series. In this study, based sub-daily station-based HadISD (Met Office Hadley Centre Integrated Surface Database) dataset integrating NCEP-DOE reanalysis dataset, series 1834 that have passed quality control were homogenized reconstructed using method Climatol. These form new global (GSDM-WBT) from 1981 2020. Compared with other reanalysis-based datasets TW, average bias was −0.48 0.34 ∘C, respectively. GSDM-WBT handles many missing values possible inhomogeneities, also avoids underestimation calculated data. support research or regional extreme events waves. available at https://doi.org/10.5281/zenodo.7014332 (Dong et al., 2022).