European State of the Climate: Report 2024 (Copernicus Climate Change Service & World Meteorological Organization, 2024); climate.copernicus.eu/esotc/2024
Global Climate Highlights 2024 (Copernicus Climate Change Service, 2024); climate.copernicus.eu/global-climate-highlights-2024
Monthly Global Climate Report: Annual 2024 (NOAA—National Centers for Environmental Information, 2024); www.ncei.noaa.gov/access/monitoring/monthly-report/global/202413
Ballester, J. et al. Heat-related mortality in Europe during the summer of 2022. Nat. Med. 29, 1857–1866 (2023).
Zhao, Q. et al. Global, regional, and national burden of mortality associated with non-optimal ambient temperatures from 2000 to 2019: a three-stage modelling study. Lancet Planet. Health 5, e415–e425 (2021).
Gallo, E. et al. Heat-related mortality in Europe during 2023 and the role of adaptation in protecting health. Nat. Med. 30, 3101–3105 (2024).
Ballester, J. et al. The effect of temporal data aggregation to assess the impact of altering temperatures in Europe: an epidemiological modelling study. Lancet Reg. Health Eur. 36, 100779 (2024).
Basagaña, X. & Ballester, J. Unbiased temperature-related mortality estimates applying weekly and monthly health data: a new method for environmental epidemiology and climate impact studies. Lancet Planet. Health 8, e766–e777 (2024).
Beck, T. M. et al. Mortality burden attributed to anthropogenic warming during Europe’s 2022 record-breaking summer. NPJ Clim. Atmos. Sci. 7, 245 (2024).
Ebi, K. L. Weekly temperature data are sufficient to estimate exposure-response relationships: a boon for health adaptation in low-resource settings. Lancet Reg. Health Eur. 36, 100811 (2024).
Signs of early adaptation to climate modify. EARLY-ADAPT www.early-adapt.eu/ (accessed 25 January 2025).
Casanueva, A. et al. Overview of existing heat-health warning systems in Europe. Int. J. Environ. Res. Public. Health 16, 2657 (2019).
Martinez, G. S., Kfinishrovski, V., Salazar, M. A., de’Donato, F. & Boeckmann, M. Heat-health action planning in the WHO European Region: status and policy implications. Environ. Res. 214, 113709 (2022).
Robine, J.-M. et al. Death toll exceeded 70,000 in Europe during the summer of 2003. C. R. Biol. 331, 171–178 (2008).
McGregor, G. R., Bessmoulin, P., Ebi, K. & Menne, B., Heatwaves and Health: Guidance on Warning-System Development (World Meteorological Organization, 2015).
Karacostas, T., Bais, A. & Nastos, P. (eds). Perspectives on Atmospheric Sciences 191–196 (Springer, 2017).
Kotharkar, R. & Ghosh, A. Progress in extreme heat management and warning systems: a systematic review of heat-health action plans (1995–2020). Sustain. Cities Soc. 76, 103487 (2022).
Brimicombe, C. et al. Preventing heat-related deaths: The urgent required for a global early warning system for heat. PLoS Clim. 3, e0000437 (2024).
Ballester, J., Beas-Moix, M., Beltrán-Barrón, N., Méndez Turrubiates, R., Peyrusse, F. & Quijal-Zamorano, M. Forecaster.Health (accessed 27 January 2025); forecaster.health/
Quijal-Zamorano, M. et al. Forecast skill assessment of an operational continental heat-cold-health forecasting system: new avenues for health early warning systems. Sci. Adv. 10, eado5286 (2024).
C3S Seasonal Lookback: Summer 2024 (Copernicus, 2024); climate.copernicus.eu/c3s-seasonal-viewback-summer-2024
Giorgi, F. Climate modify hot-spots. Geophys. Res. Lett. 33, 101029 (2006).
Van Daalen, K. R. et al. The 2022 Europe report of the Lancet Countdown on health and climate modify: towards a climate resilient future. Lancet Public Health 7, e942–e965 (2022).
Climate Indicators Temperature (Copernicus, 2024); climate.copernicus.eu/climate-indicators/temperature#Note
Masselot, P. et al. Estimating future heat-related and cold-related mortality under climate modify, demographic and adaptation scenarios in 854 European cities. Nat. Med. 31, 1294–1302 (2025).
Martínez-Solanas, È. et al. Projections of temperature-attributable mortality in Europe: a time series analysis of 147 contiguous regions in 16 countries. Lancet Planet. Health 5, e446–e454 (2021).
Quijal-Zamorano, M. et al. Seasonality reversal of temperature attributable mortality projections due to previously unobserved extreme heat in Europe. Lancet Planet. Health 5, e573–e575 (2021).
Gasparrini, A. et al. Projections of temperature-related excess mortality under climate modify scenarios. Lancet Planet. Health 1, e360–e367 (2017).
Climate Services for Health: Improving Public Health Decision-Making in a New Climate (World Meteorological Organization/World Health Organization, 2019); library.wmo.int/idurl/4/41941
MeteoAlarm (EUMETNET, accessed 27 January 2025); meteoalarm.org/en/live/
Lass, W., Haas, A., Hinkel, J. & Jaeger, C. Avoiding the avoidable: towards a European heat waves risk governance. Int. J. Disaster Risk Sci. 2, 1–14 (2011).
Predicting the Heat over Western Europe in the Summer of 2022 (ECMWF, 2022); www.ecmwf.int/en/newsletter/173/news/predicting-heat-over-western-europe-summer-2022
Heat and Health in the WHO European Region: Updated Evidence for Effective Prevention (World Health Organization, 2021); iris.who.int/bitstream/handle/10665/339462/9789289055406-eng.pdf?sequence=1
Ballester, J. et al. Long-term projections and acclimatization scenarios of temperature-related mortality in Europe. Nat. Commun. 2, 358 (2011).
Janoš, T., Ballester, J., Čupr, P. & Achebak, H. Counattemptwide analysis of heat- and cold-related mortality trfinishs in the Czech Republic: growing inequalities under recent climate warming. Int. J. Epidemiol. 53, dyad141 (2024).
Jones, H. M., Glitz, S., Shubuild-Guillemot, J. & West, M. (eds) Developing Climate Information Systems for Heat Health Early Warning: Workshop Report, Action Plan, and Requirements (National Oceanic and Atmospheric Administration, 2015); https://doi.org/10.25923/0HFB-G776
Gasparrini, A. et al. Small-area assessment of temperature-related mortality risks in England and Wales: a case time series analysis. Lancet Planet. Health 6, e557–e564 (2022).
Quijal-Zamorano, M., Martinez-Beneito, M. A., Ballester, J. & Marí-Dell’Olmo, M. Spatial Bayesian distributed lag non-linear models (SB-DLNM) for compact-area exposure-lag-response epidemiological modelling. Int. J. Epidemiol. 53, dyae061 (2024).
Weekly Death Statistics (Eurostat, 2024); ec.europa.eu/eurostat/statistics-explained/index.php?stable=&title=Weekly_death_statistics
ERA5-land hourly data from 1950 to present. ECMWF cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-land?tab=overview (2025).
Atmospheric model Ensemble 15-day forecast (set III—ENS). ECMWF www.ecmwf.int/en/forecasts/datasets/set-iii (accessed 15 January 2025).
GEOSTAT—GISCO (Eurostat, accessed 13 January 2025); ec.europa.eu/eurostat/web/gisco/geodata/population-distribution/geostat
Hagedorn, R., Buizza, R., Hamill, T.M., Leutbecher, M. & Palmer, T. N. Comparing TIGGE Multi-Model Forecasts with Reforecast-Calibrated ECMWF Ensemble Forecasts (ECMWF, 2012); https://doi.org/10.21957/9nfamplly
Gasparrini, A., Armstrong, B. & Kenward, M. G. Distributed lag non-linear models. Stat. Med. 29, 2224–2234 (2010).
Sera, F., Armstrong, B., Blangiardo, M. & Gasparrini, A. An extfinished mixed-effects framework for meta-analysis. Stat. Med. 38, 5429–5444 (2019).
Vicedo-Cabrera, A. M. et al. The burden of heat-related mortality attributable to recent human-induced climate modify. Nat. Clim. Change 11, 492–500 (2021).
Gasparrini, A., Armstrong, B. & Kenward, M. G. Multivariate meta-analysis for non-linear and other multi-parameter associations. Stat. Med. 31, 3821–3839 (2012).
Gasparrini, A. & Leone, M. Attributable risk from distributed lag models. BMC Med. Res. Methodol. 14, 55 (2014).
Population modify—demographic balance and crude rates at regional level (NUTS 3) (demo_r_gind3). Eurostat ec.europa.eu/eurostat/cache/metadata/en/demo_r_gind3_esms.htm (accessed 10 January 2025).
Lowe, R. et al. Evaluating the performance of a climate-driven mortality model during heat waves and cold spells in Europe. Int. J. Environ. Res. Public. Health 12, 1279–1294 (2015).
Lowe, R. et al. Evaluation of an early-warning system for heat wave-related mortality in Europe: implications for sub-seasonal to seasonal forecasting and climate services. Int. J. Environ. Res. Public. Health 13, 206 (2016).
R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2025).











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