Publications

Published papers acknowledging the XAIDA project

Bevacqua, E., Zappa, G., Lehner, F., Zscheischler, J. (2022). “Precipitation trends determine future occurrences of compound hot–dry events“. Nature Climate Change. https://doi.org/10.1038/s41558-022-01309-5

 

Bevacqua, E., De Michele, C., Manning, C., Couasnon, A., Ribeiro, A. F. S., Ramos, A. M., Vignotto, E., Bastos, A., Blesić, S., Durante, F., Hillier, J., Oliveira, S. C., Pinto, J. G., Ragno, E., Rivoire, P., Saunders, K., van der Wiel, K., Wu, W., Zhang, T., Zscheischler, J. (2021).Guidelines for Studying Diverse Types of Compound Weather and Climate Events“. Earth’s Future. Volume 9, Issue 11. 25 October 2021. https://doi.org/10.1029/2021EF002340

 

Buriticá, G, Naveau P (2022), “Stable sums to infer high return levels of multivariate rainfall time series“. https://doi.org/10.1002/env.2782

 
Cadiou, C., Noyelle, R., Malhomme, N. et al. Challenges in Attributing the 2022 Australian Rain Bomb to Climate ChangeAsia-Pac J Atmos Sci (2022). https://doi.org/10.1007/s13143-022-00305-1
 
Egli, M., Sippel, S., Pendergrass, A. G., de Vries, I., & Knutti, R. (2022). “Reconstruction of zonal precipitation from sparse historical observations using climate model information and statistical learning. Geophysical Research Letters, 49, e2022GL099826. https://doi.org/10.1029/2022GL099826

 

Faranda, D., Bourdin, S., Ginesta, M., Krouma, M., Messori, G., Noyelle, R., Pons, F., and Yiou, P. (2022) “A climate-change attribution retrospective of some impactful weather extremes of 2021“, Weather Clim. Dynam. Discuss, 3, 1311–1340, https://doi.org/10.5194/wcd-3-1311-2022

 

Faranda D., Messori G., Jézéquel A., Vrac M., Yiou P. (2023). “Atmospheric circulation compounds anthropogenic warming and impacts of climate extremes in Europe“. Proceedings of the National Academy of Sciences of the United States of America. https://doi.org/10.1073/pnas.2214525120

 

Faranda D., Messori G., Yiou P., Thao S., Pons F., et al. (2022). Dynamical footprints of Hurricanes in the Tropical Dynamics“. Chaos: An Interdisciplinary Journal of Nonlinear Science, In press. <hal-03219409v3>

 

Faranda D., Pascale S., Bulut B. (2023). “Persistent anticyclonic conditions and climate change exacerbated the exceptional 2022 European-Mediterranean drought“. Environmental Research Letters, In press. https://doi.org/10.1088/1748-9326/acbc37

 

Gardoll, S., Boucher, O. (2022). “Classification of tropical cyclone containing images using a convolutional neural network: performance and sensitivity to the learning dataset“. EGU sphere. https://doi.org/10.5194/egusphere-2022-147

 

Kendon, E.J., Fischer, E.M. & Short, C.J. (2023), “Variability conceals emerging trend in 100yr projections of UK local hourly rainfall extremes“. Nat Commun 14, 1133. https://doi.org/10.1038/s41467-023-36499-9

 

Li, D., Chen, Y., Messmer, M., Zhu, Y., Qi, J., Feng, J., Yin, B., and Bevacqua, E. (2022). “Compound wind and precipitation extremes across the Indo-Pacific: climatology, variability and drivers“. Geophysical Research Letters, 49, e2022GL098594. https://doi.org/10.1029/2022GL098594.

 

Li, J., Bevacqua, E., Chen, C., Wang, Z., Chen, X., Myneni, R. B., Wu, X., Xu, C., Zhang, Z., and Zscheischler, J. (2022). “Regional asymmetry in the response of global vegetation growth to springtime compound climate events”. Communications Earth & Environment 3,  123. https://doi.org/10.1038/s43247-022-00455-0.

 

Naveau, P., Thao, S. (2022). “Multimodel Errors and Emergence of Times in Climate Attribution Studies“. Journal of Climate. Volume 35, Issue 14. https://doi.org/10.1175/JCLI-D-21-0332.1

 

Rivoire, P., Le Gall, P., Favre, A.-C., Naveau, P., Martius, O. (2022) “High return level estimates of daily ERA-5 precipitation in Europe estimated using regionalized extreme value distributions“, Weather and Climate Extremes, Volume 38. https://doi.org/10.1016/j.wace.2022.100500

 

Scholten, R.,C., Coumou, D., Luo, F., Veraverbeke, S., (2022) “Early snowmelt and polar jet dynamics coinfluence recent extreme Siberian fire seasons“. Science, Vol 378, Issue 6623. https://doi.org/10.1126/science.abn4419

 

Schumacher D. L., Hauser M., Seneviratne S. (2022), “Drivers and mechanisms of the 2021 Pacific North West Heatwave“. Earth’s Future. https://doi.org/10.1029/2022EF002967

 

Sippel, S., Meinshausen, N., Székely, E., Fischer, E., Pendergrass, A. G., Lehner, F., and Knutti, R. (2021). “Robust detection of forced warming in the presence of potentially large climate variability“. Science Advances. 7, eabh4429.
https://www.science.org/doi/10.1126/sciadv.abh4429

 
Vautard, R., van Oldenborgh, G. J., Bonnet, R., Li, S., Robin, Y., Kew, S., Philip, S., Soubeyroux, J.-M., Dubuisson, B., Viovy, N., Reichstein, M., Otto, F., and Garcia de Cortazar-Atauri, I. (2023). “Human influence on growing-period frosts like in early April 2021 in central France”, Nat. Hazards Earth Syst. Sci., 23, 1045–1058. https://doi.org/10.5194/nhess-23-1045-2023
 
de Vries, I. E., Sippel, S., Pendergrass, A. G., and Knutti, R. (2023) “Robust global detection of forced changes in mean and extreme precipitation despite observational disagreement on the magnitude of change“, Earth Syst. Dynam., 14, 81–100, https://doi.org/10.5194/esd-14-81-2023
 
Worms J, Naveau P (2022), “Record events attribution in climate studies“. Environmetrics, e2777. https://doi.org/10.1002/env.2777 
 

Zscheischler & Lehner (2021). “Attributing compound events to anthropogenic climate change. BAMS. https://journals.ametsoc.org/view/journals/bams/aop/BAMS-D-21-0116.1/BAMS-D-21-0116.1.xml?tab_body=pdf

Pre-prints and work documents

Bevacqua, E., Jezequel, A., Suarez-Gutierrez, L., Lehner, F., Vrac, M., Yiou, P., and Zscheischler, J. (2022). “Advancing our understanding of compound weather and climate events via large ensemble model simulations”, In review, https://doi.org/10.21203/rs.3.rs-1791760/v1.

 
Davide Faranda, Gabriele Messori, Stella Bourdin, Mathieu Vrac, Soulivanh Thao, Jacopo Riboldi, Sebastien Fromang, Pascal Yiou. (2022). Correcting biases in tropical cyclone intensities in low-resolution datasets using dynamical systems metrics. ⟨hal-03631098⟩ 
 

Jiang, S., Bevacqua, E., and Zscheischler, J. (2022). “River flooding mechanisms and their changes in Europe revealed by explainable machine learning”, Hydrol. Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/hess-2022-151, in review.

 
Richards J., Huser R., Bevacqua E., Zscheischler J. (2022). Insights into the drivers and spatio-temporal trends of extreme Mediterranean wildfires with statistical deep-learning. In Review. https://arxiv.org/pdf/2212.01796.pdf

To go further

Falkena, S.K.J., de Wiljes, J., Weisheimer, A. & Shepherd, T.G.(2021) Detection of interannual ensemble forecast signals over the North Atlantic and Europe using atmospheric circulation regimes. Q J R Meteorol Soc, 148( 742), 434453. https://doi.org/10.1002/qj.4213

 

Findell, K. L., Sutton, R., Caltabiano, N., Brookshaw, A., Heimbach, P., Kimoto, M., Osprey, S., Smith, D., Risbey, J. S., Wang, Z., Cheng, L., Diaz, L., Donat, M. G., Ek, M., Lee, J., Minobe, S., Rusticucci, M., Vitart, F., & Wang, L. (2022). Explaining and Predicting Earth System Change: A World Climate Research Programme Call to Action, Bulletin of the American Meteorological Society. https://journals.ametsoc.org/view/journals/bams/aop/BAMS-D-21-0280.1/BAMS-D-21-0280.1.xml

 
Ginesta, M., Yiou, P., Messori, G. et al. (2022) A methodology for attributing severe extratropical cyclones to climate change based on reanalysis data: the case study of storm Alex 2020Clim Dyn. https://doi.org/10.1007/s00382-022-06565-x

 

Lloyd, E.A., Shepherd, T.G. (2021). Climate change attribution and legal contexts: evidence and the role of storylines. Climatic Change 167, 28. https://doi.org/10.1007/s10584-021-03177-y

 

Mahecha M., Bastos A., Bohn F., Eisenhauer N., Feilhauer H., Hartmann H., Hickler T., Kalesse-Los H., Migliavacca M., Otto F., Peng J., Quaas J., Tegen I., Weigelt A., Wendisch M., Wirth C. (2022) “Biodiversity loss and climate extremes – study the feedbacks“. Nature 612, 30-32. https://doi.org/10.1038/d41586-022-04152-y

 

Shepherd, T.G. (2021). Bringing physical reasoning into statistical practice in climate-change science. Climatic Change 169, 2. https://doi.org/10.1007/s10584-021-03226-6

 

Smith D., Gillett N., Simpson I., Athanasiadis P., Baehr J., Bethke I., Bilge T., Bonnet R., Boucher O., Findell K., Gastineau G., Gualdi S., Hermanson L., Leung L. R., Mignot J., Müller W., Osprey S., Otterå Odd H., Persad G., Scaife A., Schmidt G., Shiogama H., Sutton R., Swingedouw D., Yang S., Zhou T., Ziehn T. (2022). Attribution of multi-annual to decadal changes in the climate system: The Large Ensemble Single Forcing Model Intercomparison Project (LESFMIP). Frontiers in Climate 4, 2022. https://www.frontiersin.org/articles/10.3389/fclim.2022.955414

 
Yessimbet, K., Shepherd, T. G., Ossó, A. C., & Steiner, A. K. (2022). Pathways of influence between Northern Hemisphere blocking and stratospheric polar vortex variability. Geophysical Research Letters, 49, e2022GL100895. https://doi.org/10.1029/2022GL100895