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

中文翻译：

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GSDM-WBT：1981-2020 年全球台站每日最高湿球温度数据

摘要。湿球温度（WBT）综合表征了热环境的温度和湿度，是描述人体能量调节的相关变量。每日最大 WBT 可有效用于监测潮湿热浪和对人体健康的反应。由于气象站的时间分辨率不同，易受非气候影响，难以提供完整、均质的长期序列。本研究基于HaDISD分日站数据集，结合NCEP-DOE再分析数据集，采用Climatol方法对1834个已通过质量控制的站的日最大WBT序列进行均质化重建。这些形成了 1981 年至 2020 年全球台站日最大 WBT (GSDM-WBT) 的新数据集。与其他基于站点和基于再分析的 WBT 数据集相比，平均偏差分别为 -0.48°C 和 0.34°C。GSDM-WBT 处理具有许多缺失值和可能的不均匀性的台站，并且还抵消了根据再分析数据计算的 WBT 的低估。GSDM-WBT数据集可以有效支持全球或区域极端高温事件和湿热浪的研究。该数据集可在 https://doi.org/10.5281/zenodo.7014332 (Dong et al. 2022) 获得。GSDM-WBT数据集可以有效支持全球或区域极端高温事件和湿热浪的研究。该数据集可在 https://doi.org/10.5281/zenodo.7014332 (Dong et al. 2022) 获得。GSDM-WBT数据集可以有效支持全球或区域极端高温事件和湿热浪的研究。该数据集可在 https://doi.org/10.5281/zenodo.7014332 (Dong et al. 2022) 获得。