Global near real‐time daily apparent temperature and heat wave dataset

Abstract

Temperature is the most concerned factor in the human–environment interactions. Apparent temperature accounting for other meteorological variables, such as humidity, wind speed and solar radiation, is the equivalent temperature, and it is a more accurate indicator to reflect human's environmental temperature perception. High‐quality apparent temperature data are urgently needed for the further research on human–environment interactions. At the same time, as global heat waves continue to increase in frequency, duration and intensity, understanding the impact of heat waves on human health needs human perception‐based heat wave data. Using ERA5 hourly data on single levels of 2 m temperature, wind speed, dewpoint temperature and solar radiation, this study developed a global apparent temperature and heat wave (GATHW) toolbox based on the Climate Data Store (CDS) online platform. This toolbox allows using three methods to calculate daily apparent temperature and heat wave at three spatial resolutions of 0.25°, 0.5° and 1° respectively. It can realize online calculation, display and real‐time download and is updated in near real‐time. The global daily apparent temperature and annual heat wave dataset from 2006 to 2020 calculated by the toolbox can be obtained from https://www.doi.org/10.5281/zenodo.4764325. After evaluation, this dataset can well reflect the typical extreme temperatures and heat wave events, and is more accurate, with higher resolution and faster update frequency than similar data products, which can provide data support for the study of human–environmental interactions and extreme climate events.

The impact of weather anomalies on violence in the subtropics: A cross-national comparison

“…The mean daily apparent temperature was then calculated for each location for each of the 1,825 days included in the study. Apparent temperature is a measure of the 'feels like' temperature that uses temperature, humidity, and wind to compute a measure re ecting the experienced temperature (see Yin et al 2023). This measure was used in the current study given that it offers a more human-centric measure of experienced temperature than other measures (Steadman 1984).…”

Glo3DHydroClimEventSet(v1.0): A global‐scale event set of hydroclimatic extremes detected with the 3D DBSCAN‐based workflow (1951–2022)

“…To facilitate studies on these compound events, event sets of global‐scale hydroclimatic extremes produced with unified identification algorithms are fundamental and necessary. Previous studies have generated global‐scale datasets of droughts (Hao et al, 2014; Vicente‐Serrano et al, 2010, 2022), heatwaves (Raei et al, 2018; Yang & Zhang, 2020; Yin et al, 2022) and extreme precipitations (Lewis et al, 2019) prepared for monitoring and analysis. Recently, specific event sets regarding droughts (He et al, 2020; Spinoni et al, 2019; Tian et al, 2022), heatwaves (Liu et al, 2022a, Luo et al, 2022a, 2022b) and extreme precipitations (He et al, 2020; Wang et al, 2022) are produced across global, continental or regional scales.…”