Document Type
Article
Source of Publication
Scientific Data
Publication Date
12-1-2026
Abstract
Heatwaves are becoming more intense and frequent as global temperatures rise, affecting vulnerable populations, particularly in low-income communities. Addressing the impacts of heatwaves requires high-resolution data to assess their influence on labour productivity, public health, and climate risk. We introduce the Comprehensive Heat Indices (CHI) dataset, a high-resolution (0.1° × 0.1°) hourly dataset from 1950 to 2024, derived from the ERA5 and ERA5-Land reanalyses. The CHI dataset encompasses thirteen heat stress indices, including wet-bulb temperature, universal thermal climate index, mean radiant temperature, wind chill, and lethal heat stress index (Ls). Thresholds for Ls are empirically linked to mortality, enabling the identification of life-threatening heat events. Ls is sensitive to soil moisture variability, improving assessments in agricultural regions. The CHI dataset supports indoor and outdoor applications and is sensitive to humidity, radiation, and wind. Covering the global land area from 60°S to 75°N and 180°W to 180°E, it provides a unique, long-term perspective on spatial and temporal trends in heat stress, which are critical for climate impact research and adaptation planning.
DOI Link
ISSN
Publisher
Springer Science and Business Media LLC
Volume
13
Issue
1
Disciplines
Life Sciences
Keywords
Environmental science (0.71), Heat stress (0.65), Climate change (0.59), Climatology (0.55), Index (typography) (0.54), Global warming (0.46), Extreme heat (0.44), Climate extremes (0.42), Meteorology (0.4), Adaptation (eye) (0.37), Identification (biology) (0.37), Heat wave (0.36), Agriculture (0.36), Downscaling (0.35), Climate model (0.35), Heat index (0.33), Environmental resource management (0.32), Mean radiant temperature (0.31), Food security (0.29), Air temperature (0.28), Wind speed (0.28), Land use (0.28), Perspective (graphical) (0.28), Permafrost (0.26), Agricultural land (0.26), Climate zones (0.26), Atmospheric sciences (0.25), Global change (0.25)
Scopus ID
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Malik, Abdul; Masabathini, Sateesh; Shaikh, Mohsin Ahmed; Kong, Qinqin; Usman, Muhammad; Hari Prasad, Dasari; and Hoteit, Ibrahim, "A Global High-Resolution Comprehensive Heat Indices Dataset from 1950 to 2024" (2026). All Works. 7851.
https://zuscholars.zu.ac.ae/works/7851
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Gold: This publication is openly available in an open access journal/series