This web page was created programmatically, to learn the article in its unique location you possibly can go to the hyperlink bellow:
https://www.nature.com/articles/s41597-026-06877-1
and if you wish to take away this text from our website please contact us
Zhao, Q. et al. Global, regional, and nationwide burden of mortality related to non-optimal ambient temperatures from 2000 to 2019: a three-stage modelling research. The Lancet Planetary Health 5, e415–e425 (2021).
Lüthi, S. et al. Rapid improve within the threat of heat-related mortality. Nat Commun 14, 4894 (2023).
Voogt, J. A. & Oke, T. R. Thermal distant sensing of city climates. Remote Sensing of Environment 86, 370–384 (2003).
Khanh, D. N., Varquez, A. C. G. & Kanda, M. Impact of urbanization on publicity to excessive warming in megacities. Heliyon 9, e15511 (2023).
IPCC WGII (Intergovernmental Panel on Climate Change, Working Group II). AR6 Climate Change 2022: Impacts, Adaptation and Vulnerability | Climate Change 2022: Impacts, Adaptation and Vulnerability. (2022).
Ebi, Okay. L. et al. Hot climate and warmth extremes: well being dangers. The Lancet 398, 698–708 (2021).
Gasparrini, A. et al. Mortality threat attributable to excessive and low ambient temperature: a multicountry observational research. The Lancet 386, 369–375 (2015).
Tuholske, C. et al. Global city inhabitants publicity to excessive warmth. Proceedings of the National Academy of Sciences 118, e2024792118 (2021).
Liu, Y., Song, C., Ye, S., Lv, J. & Gao, P. Daily Max Simplified Wet-Bulb Globe Temperature and its Climate Networks for Teleconnection Study, 1940–2022. Sci Data 12, 584 (2025).
Spangler, Okay. R., Liang, S. & Wellenius, G. A. Wet-Bulb Globe Temperature, Universal Thermal Climate Index, and Other Heat Metrics for US Counties, 2000–2020. Sci Data 9, 326 (2022).
Ronnkvist, S. R. et al. What’s the TEE: Metrics of Temperature Extremes in Europe NUTS Regions (1980-2024). Sci Data 12, 1114 (2025).
Wang, Y. et al. Global future inhabitants publicity to heat-waves. Environment International 178, 108049 (2023).
Kong, Q. & Huber, M. A worldwide high-resolution and bias-corrected dataset of CMIP6 projected warmth stress metrics. Sci Data 12, 1–13 (2025).
Yin, C. et al. Changes in world warmth waves and its socioeconomic publicity in a hotter future. Climate Risk Management 38, 100459 (2022).
Lowry, W. P. Empirical estimation of city results on local weather: an issue evaluation. Journal of Applied Meteorology and Climatology 16, 129–135 (1977).
Yu, W. et al. Attribution of Urban Diurnal Thermal Environmental Change: Importance of Global–Local Effects. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 16, 8087–8101 (2023).
Du, H. et al. Contrasting Trends and Drivers of Global Surface and Canopy Urban Heat Islands. Geophysical Research Letters 50, e2023GL104661 (2023).
Li, Okay. & Chen, Y. Characterizing the indicator-based, day-and-night, and climate-based variations in response of floor city warmth island throughout warmth wave throughout world 561 cities. Sustainable Cities and Society 99, 104877 (2023).
Guo, A. et al. Divergent influence of city 2D/3D morphology on thermal atmosphere alongside city gradients. Urban Climate 45, 101278 (2022).
Ren, J. et al. Spatiotemporal evolution of floor city warmth islands: Concerns relating to summer season warmth wave durations. J. Geogr. Sci. 34, 1065–1082 (2024).
Zhang, T., Zhou, Y., Zhu, Z., Li, X. & Asrar, G. R. A worldwide seamless 1 km decision day by day land floor temperature dataset (2003–2020). Earth System Science Data 14, 651–664 (2022).
Dugord, P.-A., Lauf, S., Schuster, C. & Kleinschmit, B. Land use patterns, temperature distribution, and potential warmth stress threat – The case research Berlin, Germany. Comput. Environ. Urban Syst. 48, 86–98 (2014).
Li, L. & Zha, Y. Population publicity to excessive warmth in China: Frequency, depth, length and temporal tendencies. Sustainable Cities and Society 60, 102282 (2020).
Yuan, B., Zhou, L., Hu, F. & Zhang, Q. Diurnal dynamics of warmth publicity in Xi’an: A perspective from native local weather zone. Building and Environment 222, 109400 (2022).
Zhang, T., Zhou, Y., Zhu, Z., Li, X. & Asrar, G. A worldwide seamless 1 km decision day by day land floor temperature dataset (2003–2020), (2022)
Lebakula, V. et al. LandScan Global 30 Arcsecond Annual Global Gridded Population Datasets from 2000 to 2022. Sci Data 12, 495 (2025).
Li, X. et al. Mapping world city boundaries from the worldwide synthetic impervious space (GAIA) information. Environ. Res. Lett. 15, 094044 (2020).
World Bank Group. Global Subnational Atlas of Poverty (model October 2025). (2025).
Chen, B., Xie, M., Feng, Q., Wu, R. & Jiang, L. Diurnal warmth publicity threat mapping and associated governance zoning: A case research of Beijing, China. Sustainable Cities and Society 81, 103831 (2022).
Meque, A., Pinto, I., Maúre, G. & Beleza, A. Understanding the variability of heat-wave traits in southern Africa. Weather and Climate Extremes 38, 100498 (2022).
Yu, Z., Yao, Y., Yang, G., Wang, X. & Vejre, H. Spatiotemporal patterns and traits of remotely sensed area warmth islands in the course of the fast urbanization (1995–2015) of Southern China. Science of The Total Environment 674, 242–254 (2019).
Yu, W., Yang, J., Zhou, Y. & Xiao, X. Global UHE dataset. figshare (2025).
This web page was created programmatically, to learn the article in its unique location you possibly can go to the hyperlink bellow:
https://www.nature.com/articles/s41597-026-06877-1
and if you wish to take away this text from our website please contact us
