Articles | Volume 16, issue 5
https://doi.org/10.5194/esd-16-1759-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-16-1759-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Oct 2025
Research article |
| 16 Oct 2025
| 16 Oct 2025
Intensity and dynamics of extreme cold spells of the 21st century in France from CMIP6 data
Camille Cadiou
Laboratoire des Sciences du Climat et de l’Environnement, UMR 8212 CEA-CNRS-UVSQ, Université Paris Saclay, 91191 Gif-sur-Yvette, France
Institut Pierre-Simon Laplace, Sorbonne Université, 75252 Paris, France
Laboratoire des Sciences du Climat et de l’Environnement, UMR 8212 CEA-CNRS-UVSQ, Université Paris Saclay, 91191 Gif-sur-Yvette, France
Institut Pierre-Simon Laplace, Sorbonne Université, 75252 Paris, France
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Cited articles
Ailliot, P., Allard, D., Monbet, V., and Naveau, P.: Stochastic weather generators: an overview of weather type models, Journal de la Société Française de Statistique, 156, 101–113, 2015. a
Añel, J. A., Fernández-González, M., Labandeira, X., López-Otero, X., and De la Torre, L.: Impact of Cold Waves and Heat Waves on the Energy Production Sector, Atmosphere, 8, 209, https://doi.org/10.3390/atmos8110209, 2017. a, b
Bessec, M. and Fouquau, J.: The non-linear link between electricity consumption and temperature in Europe: A threshold panel approach, Energy Economics, 30, 2705–2721, https://doi.org/10.1016/j.eneco.2008.02.003, 2008. a
Bevacqua, E., Suarez-Gutierrez, L., Jézéquel, A., Lehner, F., Vrac, M., Yiou, P., and Zscheischler, J.: Advancing research on compound weather and climate events via large ensemble model simulations, Nature Communications, 14, 2145, https://doi.org/ 10.1038/s41467-023-37847-5, 2023. a, b
Bieli, M., Pfahl, S., and Wernli, H.: A Lagrangian investigation of hot and cold temperature extremes in Europe, Quarterly Journal of the Royal Meteorological Society, 141, 98–108, https://doi.org/10.1002/qj.2339, 2015. a
Blackport, R. and Screen, J. A.: Insignificant effect of Arctic amplification on the amplitude of midlatitude atmospheric waves, Science Advances, 6, eaay2880, https://doi.org/10.1126/sciadv.aay2880, 2020. a
Bloomfield, H. C., Brayshaw, D. J., Shaffrey, L. C., Coker, P. J., and Thornton, H. E.: Quantifying the increasing sensitivity of power systems to climate variability, Environmental Research Letters, 11, 124025, https://doi.org/10.1088/1748-9326/11/12/124025, 2016. a
Boucher, O., Servonnat, J., Albright, A. L., Aumont, O., Balkanski, Y., Bastrikov, V., Bekki, S., Bonnet, R., Bony, S., Bopp, L., Braconnot, P., Brockmann, P., Cadule, P., Caubel, A., Cheruy, F., Codron, F., Cozic, A., Cugnet, D., D'Andrea, F., Davini, P., De Lavergne, C., Denvil, S., Deshayes, J., Devilliers, M., Ducharne, A., Dufresne, J., Dupont, E., Éthé, C., Fairhead, L., Falletti, L., Flavoni, S., Foujols, M., Gardoll, S., Gastineau, G., Ghattas, J., Grandpeix, J., Guenet, B., Guez, E., L., Guilyardi, E., Guimberteau, M., Hauglustaine, D., Hourdin, F., Idelkadi, A., Joussaume, S., Kageyama, M., Khodri, M., Krinner, G., Lebas, N., Levavasseur, G., Lévy, C., Li, L., Lott, F., Lurton, T., Luyssaert, S., Madec, G., Madeleine, J., Maignan, F., Marchand, M., Marti, O., Mellul, L., Meurdesoif, Y., Mignot, J., Musat, I., Ottlé, C., Peylin, P., Planton, Y., Polcher, J., Rio, C., Rochetin, N., Rousset, C., Sepulchre, P., Sima, A., Swingedouw, D., Thiéblemont, R., Traore, A. K., Vancoppenolle, M., Vial, J., Vialard, J., Viovy, N., and Vuichard, N.: Presentation and Evaluation of the IPSL‐CM6A‐LR Climate Model, Journal of Advances in Modeling Earth Systems, 12, e2019MS002010, https://doi.org/10.1029/2019MS002010, 2020. a, b, c
Brunner, L., Schaller, N., Anstey, J., Sillmann, J., and Steiner, A. K.: Dependence of Present and Future European Temperature Extremes on the Location of Atmospheric Blocking, Geophysical Research Letters, 45, 6311–6320, https://doi.org/10.1029/2018GL077837, 2018. a
Buehler, T., Raible, C. C., and Stocker, T. F.: The relationship of winter season North Atlantic blocking frequencies to extreme cold or dry spells in the ERA-40, Tellus A, 63, 212–222, https://doi.org/10.1111/J.1600-0870.2010.00492.X, 2011. a
Busby, J. W., Baker, K., Bazilian, M. D., Gilbert, A. Q., Grubert, E., Rai, V., Rhodes, J. D., Shidore, S., Smith, C. A., and Webber, M. E.: Cascading risks: Understanding the 2021 winter blackout in Texas, Energy Research & Social Science, 77, 102106, https://doi.org/10.1016/j.erss.2021.102106, 2021. a
Cattiaux, J., Vautard, R., Cassou, C., Yiou, P., Masson-Delmotte, V., and Codron, F.: Winter 2010 in Europe: A cold extreme in a warming climate, Geophysical Research Letters, 37, 20704, https://doi.org/10.1029/2010GL044613, 2010. a, b
Caud, N. and Vautard, R.: Un démonstrateur de services climatiques pour le secteur de l'énergie, La Météorologie, p. 3, https://doi.org/10.4267/2042/68200, 2018. a
Charlton-Perez, A. J., Aldridge, R. W., Grams, C. M., and Lee, R.: Winter pressures on the UK health system dominated by the Greenland Blocking weather regime, Weather and Climate Extremes, 25, 100218, https://doi.org/10.1016/j.wace.2019.100218, 2019. a
Christiansen, B.: Understanding the distribution of multimodel ensembles, Journal of Climate, 33, 9447–9465, 2020. a
Christiansen, B., Alvarez-Castro, C., Christidis, N., Ciavarella, A., Colfescu, I., Cowan, T., Eden, J., Hauser, M., Hempelmann, N., Klehmet, K., Lott, F., Nangini, C., Oldenborgh, G. J. v., Orth, R., Stott, P., Tett, S., Vautard, R., Wilcox, L., and Yiou, P.: Was the Cold European Winter of 2009/10 Modified by Anthropogenic Climate Change? An Attribution Study, Journal of Climate, 31, 3387–3410, https://doi.org/10.1175/JCLI-D-17-0589.1, 2018. a
Cohen, J., Zhang, X., Francis, J., Jung, T., Kwok, R., Overland, J., Ballinger, T. J., Bhatt, U. S., Chen, H. W., Coumou, D., Feldstein, S., Gu, H., Handorf, D., Henderson, G., Ionita, M., Kretschmer, M., Laliberte, F., Lee, S., Linderholm, H. W., Maslowski, W., Peings, Y., Pfeiffer, K., Rigor, I., Semmler, T., Stroeve, J., Taylor, P. C., Vavrus, S., Vihma, T., Wang, S., Wendisch, M., Wu, Y., and Yoon, J.: Divergent consensuses on Arctic amplification influence on midlatitude severe winter weather, Nature Climate Change, 10, 20–29, https://doi.org/10.1038/s41558-019-0662-y, 2020. a
Cohen, J., Agel, L., Barlow, M., and Entekhabi, D.: No detectable trend in mid-latitude cold extremes during the recent period of Arctic amplification, Communications Earth & Environment, 4, 1–9, https://doi.org/10.1038/s43247-023-01008-9, 2023. a
Conlon, K. C., Rajkovich, N. B., White-Newsome, J. L., Larsen, L., and O’Neill, M. S.: Preventing cold-related morbidity and mortality in a changing climate, Maturitas, 69, 197–202, https://doi.org/10.1016/j.maturitas.2011.04.004, 2011. a
Coppola, E., Raffaele, F., Giorgi, F., Giuliani, G., Xuejie, G., Ciarlo, J. M., Sines, T. R., Torres-Alavez, J. A., Das, S., di Sante, F., Pichelli, E., Glazer, R., Müller, S. K., Abba Omar, S., Ashfaq, M., Bukovsky, M., Im, E. S., Jacob, D., Teichmann, C., Remedio, A., Remke, T., Kriegsmann, A., Bülow, K., Weber, T., Buntemeyer, L., Sieck, K., and Rechid, D.: Climate hazard indices projections based on CORDEX-CORE, CMIP5 and CMIP6 ensemble, Climate Dynamics, 57, 1293–1383, https://doi.org/10.1007/S00382-021-05640-Z, 2021. a
Corti, S., Molteni, F., and Palmer, T. N.: Signature of recent climate change in frequencies of natural atmospheric circulation regimes, Nature, 398, 799–802, https://doi.org/10.1038/19745, 1999. a
Danabasoglu, G., Lamarque, J.-F., Bacmeister, J., Bailey, D. A., DuVivier, A. K., Edwards, J., Emmons, L. K., Fasullo, J., Garcia, R., Gettelman, A., Hannay, C., Holland, M. M., Large, W. G., Lauritzen, P. H., Lawrence, D. M., Lenaerts, J. T. M., Lindsay, K., Lipscomb, W. H., Mills, M. J., Neale, R., Oleson, K. W., Otto-Bliesner, B., Phillips, A. S., Sacks, W., Tilmes, S., van Kampenhout, L., Vertenstein, M., Bertini, A., Dennis, J., Deser, C., Fischer, C., Fox-Kemper, B., Kay, J. E., Kinnison, D., Kushner, P. J., Larson, V. E., Long, M. C., Mickelson, S., Moore, J. K., Nienhouse, E., Polvani, L., Rasch, P. J., and Strand, W. G.: The Community Earth System Model Version 2 (CESM2), Journal of Advances in Modeling Earth Systems, 12, e2019MS001916, https://doi.org/10.1029/2019MS001916, 2020. a
Davies, M.: The relationship between weather and electricity demand, Proceedings of the IEEE Part C: Monographs, 106, 27, https://doi.org/10.1049/pi-c.1959.0007, 1959. a
Dawson, A., Palmer, T. N., and Corti, S.: Simulating regime structures in weather and climate prediction models, Geophysical Research Letters, 39, 2012GL053284, https://doi.org/10.1029/2012GL053284, 2012. a
Donat, M. G., Alexander, L. V., Herold, N., and Dittus, A. J.: Temperature and precipitation extremes in century-long gridded observations, reanalyses, and atmospheric model simulations, Journal of Geophysical Research: Atmospheres, 121, 11174–11189, https://doi.org/10.1002/2016JD025480, 2016. a
Doss-Gollin, J., Farnham, D. J., Lall, U., and Modi, V.: How unprecedented was the February 2021 Texas cold snap?, Environmental Research Letters, 16, 064056, https://doi.org/10.1088/1748-9326/ac0278, 2021. a
Döscher, R., Acosta, M., Alessandri, A., Anthoni, P., Arsouze, T., Bergman, T., Bernardello, R., Boussetta, S., Caron, L.-P., Carver, G., Castrillo, M., Catalano, F., Cvijanovic, I., Davini, P., Dekker, E., Doblas-Reyes, F. J., Docquier, D., Echevarria, P., Fladrich, U., Fuentes-Franco, R., Gröger, M., v. Hardenberg, J., Hieronymus, J., Karami, M. P., Keskinen, J.-P., Koenigk, T., Makkonen, R., Massonnet, F., Ménégoz, M., Miller, P. A., Moreno-Chamarro, E., Nieradzik, L., van Noije, T., Nolan, P., O'Donnell, D., Ollinaho, P., van den Oord, G., Ortega, P., Prims, O. T., Ramos, A., Reerink, T., Rousset, C., Ruprich-Robert, Y., Le Sager, P., Schmith, T., Schrödner, R., Serva, F., Sicardi, V., Sloth Madsen, M., Smith, B., Tian, T., Tourigny, E., Uotila, P., Vancoppenolle, M., Wang, S., Wårlind, D., Willén, U., Wyser, K., Yang, S., Yepes-Arbós, X., and Zhang, Q.: The EC-Earth3 Earth system model for the Coupled Model Intercomparison Project 6, Geosci. Model Dev., 15, 2973–3020, https://doi.org/10.5194/gmd-15-2973-2022, 2022. a
Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., and Taylor, K. E.: Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization, Geosci. Model Dev., 9, 1937–1958, https://doi.org/10.5194/gmd-9-1937-2016, 2016. a
Finkel, J. and O’Gorman, P. A.: Bringing Statistics to Storylines: Rare Event Sampling for Sudden, Transient Extreme Events, Journal of Advances in Modeling Earth Systems, 16, e2024MS004264, https://doi.org/10.1029/2024MS004264, 2024. a, b
Finkel, J. M. and Katz, J. I.: Changing world extreme temperature statistics, International Journal of Climatology, 38, 2613–2617, https://doi.org/10.1002/joc.5342, 2018. a
François, B., Thao, S., and Vrac, M.: Adjusting spatial dependence of climate model outputs with cycle-consistent adversarial networks, Climate Dynamics, 57, 3323–3353, 2021. a
François, B., Vrac, M., Cannon, A. J., Robin, Y., and Allard, D.: Multivariate bias corrections of climate simulations: which benefits for which losses?, Earth Syst. Dynam., 11, 537–562, https://doi.org/10.5194/esd-11-537-2020, 2020. a
Galfi, V. M. and Lucarini, V.: Fingerprinting Heatwaves and Cold Spells and Assessing Their Response to Climate Change using Large Deviation Theory, Physical Review Letters, 127, https://doi.org/10.1103/PhysRevLett.127.058701, 2020. a
Gasparrini, A., Guo, Y., Hashizume, M., Lavigne, E., Zanobetti, A., Schwartz, J., Tobias, A., Tong, S., Rocklöv, J., Forsberg, B., Leone, M., Sario, M. D., Bell, M. L., Guo, Y.-L. L., Wu, C.-f., Kan, H., Yi, S.-M., Coelho, M. d. S. Z. S., Saldiva, P. H. N., Honda, Y., Kim, H., and Armstrong, B.: Mortality risk attributable to high and low ambient temperature: a multicountry observational study, The Lancet, 386, 369–375, https://doi.org/10.1016/S0140-6736(14)62114-0, 2015. a
Geen, R., Thomson, S. I., Screen, J. A., Blackport, R., Lewis, N. T., Mudhar, R., Seviour, W. J. M., and Vallis, G. K.: An Explanation for the Metric Dependence of the Midlatitude Jet-Waviness Change in Response to Polar Warming, Geophysical Research Letters, 50, e2023GL105132, https://doi.org/10.1029/2023GL105132, 2023. a
Gessner, C., Fischer, E. M., Beyerle, U., and Knutti, R.: Very Rare Heat Extremes: Quantifying and Understanding Using Ensemble Reinitialization, Journal of Climate, 34, 6619–6634, https://doi.org/10.1175/JCLI-D-20-0916.1, 2021. a, b, c
Greatbatch, R. J.: The North Atlantic Oscillation, Stochastic Environmental Research and Risk Assessment, 14, 213–242, https://doi.org/10.1007/s004770000047, 2000. a
Gross, M. H., Donat, M. G., Alexander, L. V., and Sherwood, S. C.: Amplified warming of seasonal cold extremes relative to the mean in the Northern Hemisphere extratropics, Earth Syst. Dynam., 11, 97–111, https://doi.org/10.5194/esd-11-97-2020, 2020. a
Hannart, A., Pearl, J., Otto, F. E. L., Naveau, P., and Ghil, M.: Causal Counterfactual Theory for the Attribution of Weather and Climate-Related Events, Bulletin of the American Meteorological Society, 97, 99–110, https://doi.org/10.1175/BAMS-D-14-00034.1, 2016. a
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J. N.: The ERA5 global reanalysis, Quarterly Journal of the Royal Meteorological Society, 146, 1999–2049, https://doi.org/10.1002/QJ.3803, 2020. a
Huang, B., Liu, Z., Duan, Q., Rajib, A., and Yin, J.: Unsupervised deep learning bias correction of CMIP6 global ensemble precipitation predictions with cycle generative adversarial network, Environmental Research Letters, 19, 094003, https://doi.org/10.1088/1748-9326/ad66e6, 2024. a
Jacob, D., Kotova, L., Teichmann, C., Sobolowski, S. P., Vautard, R., Donnelly, C., Koutroulis, A. G., Grillakis, M. G., Tsanis, I. K., Damm, A., Sakalli, A., and van Vliet, M. T. H.: Climate Impacts in Europe Under +1.5°C Global Warming, Earth's Future, 6, 264–285, https://doi.org/10.1002/2017EF000710, 2018. a
Jézéquel, A., Yiou, P., and Radanovics, S.: Role of circulation in European heatwaves using flow analogues, Climate Dynamics, 50, 1145–1159, https://doi.org/10.1007/s00382-017-3667-0, 2018. a, b
Kautz, L.-A., Martius, O., Pfahl, S., Pinto, J. G., Ramos, A. M., Sousa, P. M., and Woollings, T.: Atmospheric blocking and weather extremes over the Euro-Atlantic sector – a review, Weather Clim. Dynam., 3, 305–336, https://doi.org/10.5194/wcd-3-305-2022, 2022. a
Kim, B.-M., Son, S.-W., Min, S.-K., Jeong, J.-H., Kim, S.-J., Zhang, X., Shim, T., and Yoon, J.-H.: Weakening of the stratospheric polar vortex by Arctic sea-ice loss, Nature Communications, 5, 4646, https://doi.org/10.1038/ncomms5646, 2014. a
Kim, Y.-H., Min, S.-K., Zhang, X., Sillmann, J., and Sandstad, M.: Evaluation of the CMIP6 multi-model ensemble for climate extreme indices, Weather and Climate Extremes, 29, 100269, https://doi.org/10.1016/j.wace.2020.100269, 2020. a
Kretschmer, M., Adams, S. V., Arribas, A., Prudden, R., Robinson, N., Saggioro, E., and Shepherd, T. G.: Quantifying Causal Pathways of Teleconnections, Bulletin of the American Meteorological Society, 102, E2247–E2263, https://doi.org/10.1175/BAMS-D-20-0117.1, 2021. a
Le Monde: Les conséquences de la vague de froid, https://www.lemonde.fr/archives/article/1985/01/19/les-consequences-de-la-vague-de-froid_2761398_1819218.html (last access: 1 October 2025), 1985. a
Le Monde: Froid : le réseau électrique français sous tension, https://www.lemonde.fr/societe/article/2012/02/06/froid-le-reseau-electrique-francais-sous-tension_1639275_3224.html (last access: 1 October 2025), 2012a. a
Le Monde: Nouveau record pour la consommation d'électricité, https://www.lemonde.fr/economie/article/2012/02/08/nouveau-record-pour-la-consommation-d-electricite_1640650_3234.html (last access: 1 October 2025), 2012b. a
Lee, J., Kim, J., Sun, M.-A., Kim, B.-H., Moon, H., Sung, H. M., Kim, J., and Byun, Y.-H.: Evaluation of the Korea Meteorological Administration Advanced Community Earth-System model (K-ACE), Asia-Pacific Journal of Atmospheric Sciences, 56, 381–395, https://doi.org/10.1007/s13143-019-00144-7, 2020. a
Li, L., Yu, Y., Tang, Y., Lin, P., Xie, J., Song, M., Dong, L., Zhou, T., Liu, L., Wang, L., Pu, Y., Chen, X., Chen, L., Xie, Z., Liu, H., Zhang, L., Huang, X., Feng, T., Zheng, W., Xia, K., Liu, H., Liu, J., Wang, Y., Wang, L., Jia, B., Xie, F., Wang, B., Zhao, S., Yu, Z., Zhao, B., and Wei, J.: The Flexible Global Ocean‐Atmosphere‐Land System Model Grid‐Point Version 3 (FGOALS‐g3): Description and Evaluation, Journal of Advances in Modeling Earth Systems, 12, e2019MS002012, https://doi.org/10.1029/2019MS002012, 2020. a
Masselot, P., Mistry, M., Vanoli, J., Schneider, R., Iungman, T., Garcia-Leon, D., Ciscar, J.-C., Feyen, L., Orru, H., Urban, A., Breitner, S., Huber, V., Schneider, A., Samoli, E., Stafoggia, M., de’Donato, F., Rao, S., Armstrong, B., Nieuwenhuijsen, M., Vicedo-Cabrera, A. M., Gasparrini, A., Achilleos, S., Kyselý, J., Indermitte, E., Jaakkola, J. J. K., Ryti, N., Pascal, M., Katsouyanni, K., Analitis, A., Goodman, P., Zeka, A., Michelozzi, P., Houthuijs, D., Ameling, C., Rao, S., Silva, S. d. N. P. d., Madureira, J., Holobaca, I.-H., Tobias, A., Íñiguez, C., Forsberg, B., Åström, C., Ragettli, M. S., Analitis, A., Katsouyanni, K., Surname, F. n., Zafeiratou, S., Fernandez, L. V., Monteiro, A., Rai, M., Zhang, S., and Aunan, K.: Excess mortality attributed to heat and cold: a health impact assessment study in 854 cities in Europe, The Lancet Planetary Health, 7, e271–e281, https://doi.org/10.1016/S2542-5196(23)00023-2, 2023. a
Mauritsen, T., Bader, J., Becker, T., Behrens, J., Bittner, M., Brokopf, R., Brovkin, V., Claussen, M., Crueger, T., Esch, M., Fast, I., Fiedler, S., Fläschner, D., Gayler, V., Giorgetta, M., Goll, D. S., Haak, H., Hagemann, S., Hedemann, C., Hohenegger, C., Ilyina, T., Jahns, T., Jimenéz-de-la Cuesta, D., Jungclaus, J., Kleinen, T., Kloster, S., Kracher, D., Kinne, S., Kleberg, D., Lasslop, G., Kornblueh, L., Marotzke, J., Matei, D., Meraner, K., Mikolajewicz, U., Modali, K., Möbis, B., Müller, W. A., Nabel, J. E. M. S., Nam, C. C. W., Notz, D., Nyawira, S.-S., Paulsen, H., Peters, K., Pincus, R., Pohlmann, H., Pongratz, J., Popp, M., Raddatz, T. J., Rast, S., Redler, R., Reick, C. H., Rohrschneider, T., Schemann, V., Schmidt, H., Schnur, R., Schulzweida, U., Six, K. D., Stein, L., Stemmler, I., Stevens, B., von Storch, J.-S., Tian, F., Voigt, A., Vrese, P., Wieners, K.-H., Wilkenskjeld, S., Winkler, A., and Roeckner, E.: Developments in the MPI-M Earth System Model version 1.2 (MPI-ESM1.2) and Its Response to Increasing CO2, Journal of Advances in Modeling Earth Systems, 11, 998–1038, https://doi.org/10.1029/2018MS001400, 2019. a
Morak, S., Hegerl, G. C., and Christidis, N.: Detectable Changes in the Frequency of Temperature Extremes, Journal of Climate, 26, 1561–1574, https://doi.org/10.1175/JCLI-D-11-00678.1, 2013. a
Noyelle, R.: Statistical and dynamical aspects of extreme heatwaves in the mid-latitudes, These de doctorat, université Paris-Saclay, https://theses.fr/2024UPASJ013 (last access: 1 October 2025), 2024. a
Noyelle, R., Yiou, P., and Faranda, D.: Investigating the typicality of the dynamics leading to extreme temperatures in the IPSL-CM6A-LR model, Climate Dynamics, 62, 1329–1357, https://doi.org/10.1007/s00382-023-06967-5, 2024. a
Panteli, M. and Mancarella, P.: Influence of extreme weather and climate change on the resilience of power systems: Impacts and possible mitigation strategies, Electric Power Systems Research, 127, 259–270, https://doi.org/10.1016/j.epsr.2015.06.012, 2015. a
Pardo, A., Meneu, V., and Valor, E.: Temperature and seasonality influences on Spanish electricity load, Energy Economics, 24, 55–70, https://doi.org/10.1016/S0140-9883(01)00082-2, 2002. a
Pfahl, S.: Characterising the relationship between weather extremes in Europe and synoptic circulation features, Nat. Hazards Earth Syst. Sci., 14, 1461–1475, https://doi.org/10.5194/nhess-14-1461-2014, 2014. a, b
Pfahl, S. and Wernli, H.: Quantifying the relevance of atmospheric blocking for co-located temperature extremes in the Northern Hemisphere on (sub-)daily time scales, Geophysical Research Letters, 39, https://doi.org/10.1029/2012GL052261, 2012. a
Platzer, P., Yiou, P., Naveau, P., Tandeo, P., Filipot, J.-F., Ailliot, P., and Zhen, Y.: Using Local Dynamics to Explain Analog Forecasting of Chaotic Systems, Journal of the Atmospheric Sciences, 78, 2117–2133, https://doi.org/10.1175/JAS-D-20-0204.1, 2021. a
Ragone, F. and Bouchet, F.: Rare Event Algorithm Study of Extreme Warm Summers and Heatwaves Over Europe, Geophysical Research Letters, 48, e2020GL091197, https://doi.org/10.1029/2020GL091197, 2021. a
Ragone, F., Wouters, J., and Bouchet, F.: Computation of extreme heat waves in climate models using a large deviation algorithm, Proceedings of the National Academy of Sciences of the United States of America, 115, 24–29, https://doi.org/10.1073/pnas.1712645115, 2018. a
Riahi, K., van Vuuren, D. P., Kriegler, E., Edmonds, J., O'Neill, B. C., Fujimori, S., Bauer, N., Calvin, K., Dellink, R., Fricko, O., Lutz, W., Popp, A., Cuaresma, J. C., KC, S., Leimbach, M., Jiang, L., Kram, T., Rao, S., Emmerling, J., Ebi, K., Hasegawa, T., Havlik, P., Humpenöder, F., Da Silva, L. A., Smith, S., Stehfest, E., Bosetti, V., Eom, J., Gernaat, D., Masui, T., Rogelj, J., Strefler, J., Drouet, L., Krey, V., Luderer, G., Harmsen, M., Takahashi, K., Baumstark, L., Doelman, J. C., Kainuma, M., Klimont, Z., Marangoni, G., Lotze-Campen, H., Obersteiner, M., Tabeau, A., and Tavoni, M.: The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview, Global Environmental Change, 42, 153–168, https://doi.org/10.1016/J.GLOENVCHA.2016.05.009, 2017. a
Ribes, A., Robin, Y., Tessiot, O., and Cattiaux, J.: Recent extreme cold waves are likely not to happen again this century, Bulletin of the American Meteorological Society, https://doi.org/10.1175/BAMS-D-24-0013.1, 2025. a
Rogers, J. C.: The Association between the North Atlantic Oscillation and the Southern Oscillation in the Northern Hemisphere, Monthly Weather Review, 112, 1999–2015, https://doi.org/10.1175/1520-0493(1984)112<1999:TABTNA>2.0.CO;2, 1984. a
Röthlisberger, M. and Papritz, L.: A global quantification of the physical processes leading to near-surface cold extremes, Geophysical Research Letters, 50, e2022GL101670, https://doi.org/10.1029/2022GL101670, 2023. a
Rouges, E., Kretschmer, M., and Shepherd, T.: On the link between weather regimes and energy shortfall during winter for 28 European countries, Meteorological Applications, 32, e70077, https://doi.org/10.1002/met.70077, 2025. a
RTE: Futurs énergétiques 2050: les chemins vers la neutralité carbone à horizon 2050 – Principaux résultats, Tech. rep., https://www.rte-france.com/analyses-tendances-et- prospectives/bilan-previsionnel-2050-futurs-energetiques (last access: 1 October 2025), 2021. a, b, c
RTE: Bilan de l’hiver 2022–2023: Des coupures d’électricité évitées grâce à la baisse de consommation, https://www.rte-france.com/actualites/bilan-hiver-2022-2023- coupures-electricite-evitees-grace-baisse-consommation (last access: 1 October 2025), 2023a. a, b
RTE: Perspectives pour la sécurité d'approvisionnement de l’hiver 2023–2024: Une situation en nette amélioration par rapport à l’hiver dernier si les efforts de consommations se poursuivent, https://www.rte-france.com/actualites/perspectives-securite- approvisionnement-hiver-2023-2024-situation-nette- amelioration (last access: 1 October 2025), 2023b. a, b
Sailor, D. J.: Relating residential and commercial sector electricity loads to climate – evaluating state level sensitivities and vulnerabilities, Energy, 26, 645–657, https://doi.org/10.1016/S0360-5442(01)00023-8, 2001. a
Screen, J. A., Deser, C., Smith, D. M., Zhang, X., Blackport, R., Kushner, P. J., Oudar, T., McCusker, K. E., and Sun, L.: Consistency and discrepancy in the atmospheric response to Arctic sea-ice loss across climate models, Nature Geoscience, 11, 155–163, https://doi.org/10.1038/s41561-018-0059-y, 2018. a
Seager, R., Kushnir, Y., Nakamura, J., Ting, M., and Naik, N.: Northern Hemisphere winter snow anomalies: ENSO, NAO and the winter of 2009/10, Geophysical Research Letters, 37, https://doi.org/10.1029/2010GL043830, 2010. a
Seland, Ø., Bentsen, M., Olivié, D., Toniazzo, T., Gjermundsen, A., Graff, L. S., Debernard, J. B., Gupta, A. K., He, Y.-C., Kirkevåg, A., Schwinger, J., Tjiputra, J., Aas, K. S., Bethke, I., Fan, Y., Griesfeller, J., Grini, A., Guo, C., Ilicak, M., Karset, I. H. H., Landgren, O., Liakka, J., Moseid, K. O., Nummelin, A., Spensberger, C., Tang, H., Zhang, Z., Heinze, C., Iversen, T., and Schulz, M.: Overview of the Norwegian Earth System Model (NorESM2) and key climate response of CMIP6 DECK, historical, and scenario simulations, Geosci. Model Dev., 13, 6165–6200, https://doi.org/10.5194/gmd-13-6165-2020, 2020. a
Seneviratne, S., Zhang, X., Adnan, M., Badi, W., Dereczynski, C., Di Luca, A., Ghosh, S., Iskandar, I., Kossin, J., Lewis, S., Otto, F., Pinto, I., Satoh, M., Vicente-Serrano, S., Wehner, M., and Zhou, B.: Weather and Climate Extreme Events in a Changing Climate, in: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M., Huang, M., Leitzell, K., Lonnoy, E., Matthews, J., Maycock, T., Waterfield, T., Yelekçi, O., Yu, R., and Zhou, B., pp. 1513–1766, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, https://doi.org/10.1017/9781009157896.013, 2021. a
Sillmann, J., Mischa, C. M., Kallache, M., and Katz, R. W.: Extreme cold winter temperatures in Europe under the influence of North Atlantic atmospheric blocking, Journal of Climate, 24, 5899–5913, https://doi.org/10.1175/2011JCLI4075.1, 2011. a, b
Sippel, S., Barnes, C., Cadiou, C., Fischer, E., Kew, S., Kretschmer, M., Philip, S., Shepherd, T. G., Singh, J., Vautard, R., and Yiou, P.: Could an extremely cold central European winter such as 1963 happen again despite climate change?, Weather Clim. Dynam., 5, 943–957, https://doi.org/10.5194/wcd-5-943-2024, 2024. a, b, c
Sousa, P. M., Trigo, R. M., Barriopedro, D., Soares, P. M., and Santos, J. A.: European temperature responses to blocking and ridge regional patterns, Climate Dynamics, 50, 457–477, https://doi.org/10.1007/s00382-017-3620-2, 2018. a
Swart, N. C., Cole, J. N. S., Kharin, V. V., Lazare, M., Scinocca, J. F., Gillett, N. P., Anstey, J., Arora, V., Christian, J. R., Hanna, S., Jiao, Y., Lee, W. G., Majaess, F., Saenko, O. A., Seiler, C., Seinen, C., Shao, A., Sigmond, M., Solheim, L., von Salzen, K., Yang, D., and Winter, B.: The Canadian Earth System Model version 5 (CanESM5.0.3), Geosci. Model Dev., 12, 4823–4873, https://doi.org/10.5194/gmd-12-4823-2019, 2019. a
Séférian, R., Nabat, P., Michou, M., Saint-Martin, D., Voldoire, A., Colin, J., Decharme, B., Delire, C., Berthet, S., Chevallier, M., Sénési, S., Franchisteguy, L., Vial, J., Mallet, M., Joetzjer, E., Geoffroy, O., Guérémy, J.-F., Moine, M.-P., Msadek, R., Ribes, A., Rocher, M., Roehrig, R., Salas-y Mélia, D., Sanchez, E., Terray, L., Valcke, S., Waldman, R., Aumont, O., Bopp, L., Deshayes, J., Éthé, C., and Madec, G.: Evaluation of CNRM Earth System Model, CNRM-ESM2-1: Role of Earth System Processes in Present-Day and Future Climate, Journal of Advances in Modeling Earth Systems, 11, 4182–4227, https://doi.org/10.1029/2019MS001791, 2019. a
Thompson, D. W. J. and Wallace, J. M.: Regional Climate Impacts of the Northern Hemisphere Annular Mode, Science, 293, 85–89, https://doi.org/10.1126/science.1058958, 2001. a
Thorarinsdottir, T. L., Sillmann, J., Haugen, M., Gissibl, N., and Sandstad, M.: Evaluation of CMIP5 and CMIP6 simulations of historical surface air temperature extremes using proper evaluation methods, Environmental Research Letters, 15, 124041, https://doi.org/10.1088/1748-9326/abc778, 2020. a
Thornton, H. E., Hoskins, B. J., and Scaife, A. A.: The role of temperature in the variability and extremes of electricity and gas demand in Great Britain, Environmental Research Letters, 11, 114015, https://doi.org/10.1088/1748-9326/11/11/114015, 2016. a
Van Der Wiel, K., Bloomfield, H. C., Lee, R. W., Stoop, L. P., Blackport, R., Screen, J. A., and Selten, F. M.: The influence of weather regimes on European renewable energy production and demand, Environmental Research Letters, 14, https://doi.org/10.1088/1748-9326/ab38d3, 2019. a
Vidal, J.-P., Martin, E., Franchistéguy, L., Baillon, M., and Soubeyroux, J.-M.: A 50-year high-resolution atmospheric reanalysis over France with the Safran system, International Journal of Climatology, 30, 1627–1644, https://doi.org/10.1002/joc.2003, 2010. a
Wang, C., Liu, H., and Lee, S.-K.: The record-breaking cold temperatures during the winter of 2009/2010 in the Northern Hemisphere, Atmospheric Science Letters, 11, 161–168, https://doi.org/10.1002/asl.278, 2010. a
Wehner, M., Gleckler, P., and Lee, J.: Characterization of long period return values of extreme daily temperature and precipitation in the CMIP6 models: Part 1, model evaluation, Weather and Climate Extremes, 30, 100283, https://doi.org/10.1016/j.wace.2020.100283, 2020. a
Wu, T., Yu, R., Lu, Y., Jie, W., Fang, Y., Zhang, J., Zhang, L., Xin, X., Li, L., Wang, Z., Liu, Y., Zhang, F., Wu, F., Chu, M., Li, J., Li, W., Zhang, Y., Shi, X., Zhou, W., Yao, J., Liu, X., Zhao, H., Yan, J., Wei, M., Xue, W., Huang, A., Zhang, Y., Zhang, Y., Shu, Q., and Hu, A.: BCC-CSM2-HR: a high-resolution version of the Beijing Climate Center Climate System Model, Geosci. Model Dev., 14, 2977–3006, https://doi.org/10.5194/gmd-14-2977-2021, 2021. a
Yiou, P.: AnaWEGE: a weather generator based on analogues of atmospheric circulation, Geosci. Model Dev., 7, 531–543, https://doi.org/10.5194/gmd-7-531-2014, 2014. a, b
Yiou, P. and Jézéquel, A.: Simulation of extreme heat waves with empirical importance sampling, Geosci. Model Dev., 13, 763–781, https://doi.org/10.5194/gmd-13-763-2020, 2020. a, b, c, d
Yiou, P. and Nogaj, M.: Extreme climatic events and weather regimes over the North Atlantic: When and where?, Geophysical Research Letters, 31, https://doi.org/10.1029/2003GL019119, 2004. a, b
Yiou, P., Cadiou, C., Faranda, D., Jézéquel, A., Malhomme, N., Miloshevich, G., Noyelle, R., Pons, F., Robin, Y., and Vrac, M.: Ensembles of climate simulations to anticipate worst case heatwaves during the Paris 2024 Olympics, npj Climate and Atmospheric Science, 6, 1–8, https://doi.org/10.1038/s41612-023-00500-5, 2023. a, b
Yukimoto, S., Kawai, H., Koshiro, T., Oshima, N., Yoshida, K., Urakawa, S., Tsujino, H., Deushi, M., Tanaka, T., Hosaka, M., Yabu, S., Yoshimura, H., Shindo, E., Mizuta, R., Obata, A., Adachi, Y., and Ishii, M.: The Meteorological Research Institute Earth System Model Version 2.0, MRI-ESM2.0: Description and Basic Evaluation of the Physical Component, Journal of the Meteorological Society of Japan. Ser. II, 97, 931–965, https://doi.org/10.2151/jmsj.2019-051, 2019. a
Short summary
Cold spells affect healthcare and energy systems. Global warming is expected to reduce the amplitude and frequency of these climate extremes. We show that the intense cold spells of the 20th century will become nearly impossible in France by the end of the 21st century for high warming levels. We also demonstrate that events in France as intense as that in 1985 may still occur in the near future. These events are linked to specific atmospheric patterns that bring cold air from high latitudes into Europe.
Cold spells affect healthcare and energy systems. Global warming is expected to reduce the...
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