Towards reliable extreme weather and climate event attribution

Nature Communications

Volumn 10, Issue 1, 2019, Pages

  Bellprat, Omar ^a,b   Guemas, Virginie ^a   Doblas Reyes, Francisco ^a,c   Donat, Markus G ^a,d  

^a BARCELONA SUPERCOMPUTING CENTER   (Spain)

^b ETH Zurich   (Switzerland)

^c INSTITUCIÓ CATALANA DE RECERCA I ESTUDIS AVANÇATS ICREA   (Spain)

^d UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE CHANGE; CLIMATE EFFECT; CLIMATE MODELING; EXTREME EVENT; HUMAN ACTIVITY; WEATHER FORECASTING;

ARTICLE; ATTRIBUTABLE RISK; CLIMATE CHANGE; EXTREME WEATHER; FORECASTING; HUMAN; PROBABILITY;

EID: 85064945220     PISSN: None     EISSN: 20411723     Source Type: Journal    
DOI: 10.1038/s41467-019-09729-2     Document Type: Article

References (45)

1. IPCC. Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. (ed. Field, C. B., et al.) 582 pp. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change (Cambridge University Press, Cambridge, UK, and New York, NY, USA, 2012).
2. Herring, S. C., Hoerling, M. P., Peterson, T. C. & Stott, P. A. Explaining extreme events of 2013 from a climate perspective. Bull. Am. Meteor. Soc. 95, S1–S96 (2014).
3. Herring, S. C., Hoerling, M. P., Kossin, J. P., Peterson, T. C. & Stott, P. A. Explaining extreme events of 2014 from a climate perspective. Bull. Am. Meteor. Soc. 96, S1–S172 (2015).
4. Herring, S. C., et al. (eds.). Explaining extreme events of 2015 from a climate perspective. Bull. Am. Meteor. Soc. 97, S1–S145 (2016).
5. Konisky, D. M., Hughes, L. & Kaylor, C. H. Extreme weather events and climate change concern. Clim. Change 134, 533–547 (2016).
6. Travis, W. R. Weather and climate extremes: pacemakers of adaptation? Weather Clim. Extrem. 5, 29–39 (2014).
7. Stott, P. A. How climate change affects extreme weather events. Science 352, 1517–1518 (2016).
8. Stott, P. A. et al. Attribution of extreme weather and climate‐related events. Wiley Interdiscip. Rev. Clim. Change 7, 23–41 (2015).
9. National Academies of Sciences, Engineering, and Medicine. Attribution of Extreme Weather Events in the Context of Climate Change. (The National Academies Press, Washington, DC, 2016).
10. Allen, M. Liability for climate change. Nature 421, 891–892 (2003).
11. Stott, P. A., Stone, D. A. & Allen, M. R. Human contribution to the European heatwave of 2003. Nature 432, 610–614 (2004).
12. Bellprat, O. & Doblas-Reyes, F. J. (2016) Attribution of extreme weather and climate events overestimated by unreliable climate simulations. Geophys. Res. Lett. 43, 2158–2164 (2016).
13. Lott, F. C. & Stott, P. A. Evaluating simulated fraction of attributable risk using climate observations. J. Clim. 29, 4565–4575 (2016).
14. Weisheimer, A., Schaller, N., O’Reilly, C., MacLeod, D. A. & Palmer, T. Atmospheric seasonal forecasts of the 20th Century: multi-decadal variability in predictive skill of the winter North Atlantic Oscillation (NAO) and their potential value for extreme event attribution. Q. J. R. Meteor. Soc. 143, 917–926 (2017).
15. Palmer, T. N. & Weisheimer, A. A simple pedagogical model linking initial-value reliability with trustworthiness in the forced climate response. Bull. Am. Meteor. Soc. 10.1175/BAMS-D-16-0240.1 (2018).
16. Jolliffe, I. T., & Stephenson, D. B. Forecast verification: a practitioner’s guide in atmospheric science. John Wiley & Sons (2012).
17. Weisheimer, A. & Palmer, T. N. On the reliability of seasonal climate forecasts. J. R. Soc. Interface 11, 20131162 (2014).
18. Otto, F. E. et al. The attribution question. Nat. Clim. Change 6, 813–816 (2016).
19. Angélil, O. et al. Comparing regional precipitation and temperature extremes in climate model and reanalysis products. Weather Clim. Extrem. 13, 35–43 (2016).
20. Vautard. R. et al. Evaluation of the HadGEM3-A simulations in view of climate and weather event human influence attribution in Europe. Clim. Dynam. 52, 1187–1210 (2019).
21. Christidis, N. et al. A new HadGEM3-A-based system for attribution of weather-and climate-related extreme events. J. Clim. 26, 2756–2783 (2013).
22. Lott et al. Reliability of African climate prediction and attribution across timescales. Environ. Res. Lett. 9, 104017 (2014).
23. Massey, N. et al. weather@ home—development and validation of a very large ensemble modelling system for probabilistic event attribution. Q. J. R. Meteor. Soc. 141, 1528–1545 (2015).
24. Folland, C., Stone, D., Frederiksen, C., Karoly, D. & Kinter, J. The International CLIVAR Climate of the 20th Century Plus (C20C +) Project: Report of the sixth workshop. CLIVAR Exchanges No. 65 19, 57–59 (2013).
25. Schär, C. et al. The role of increasing temperature variability in European summer heatwaves. Nature 427, 332–336 (2004).
26. Fischer, E. M., Seneviratne, S. I., Lüthi, D. & Schär, C. Contribution of land‐atmosphere coupling to recent European summer heat waves. Geophys. Res. Lett. 34, L029068 (2007).
27. Miralles, D. G., Teuling, A. J., Van Heerwaarden, C. C. & de Arellano, J. V. G. Mega-heatwave temperatures due to combined soil desiccation and atmospheric heat accumulation. Nat. Geosci. 7, 345–349 (2014).
28. Biasutti, M., Held, I. M., Sobel, A. H. & Giannini, A. SST forcings and Sahel rainfall variability in simulations of the twentieth and twenty-first centuries. J. Clim. 21, 3471–3486 (2008).
29. Fischer, E. M., Beyerle, U., Schleussner, C. F., King, A. D. & Knutti, R. Biased estimates of changes in climate extremes from prescribed SST simulations. Geophys. Res. Lett. 45, 8500–8509 (2018).
30. Fischer, E. M. & Knutti, R. Anthropogenic contribution to global occurrence of heavy-precipitation and high-temperature extremes. Nat. Clim. Change 5, 560–564 (2015).
31. Slingo, J. & Palmer, T. Uncertainty in weather and climate prediction. Philos. Trans. R. Soc. A 369, 4751–4767 (2011).
32. Doblas-Reyes, F. J., Hagedorn, R. & Palmer, T. N. The rationale behind the success of multi-model ensembles in seasonal forecasting: calibration and combination. Tellus A 57, 234–252 (2005).
33. Hagedorn, R., Hamill, T. M. & Whitaker, J. S. Probabilistic forecast calibration using ECMWF and GFS ensemble reforecasts. Part I: two-meter temperatures. Month. Weather Rev. 136, 2608–2619 (2008).
34. Palmer, T. N., Doblas-Reyes, F. J., Weisheimer, A. & Rodwell, M. J. Toward seamless prediction: calibration of climate change projections using seasonal forecasts. Bull. Am. Meteorol. Soc. 89, 459–470 (2009).
35. Scaife, A. et al. Response: Towards seamless prediction: calibration of climate change projections using seasonal forecasts Bull. Am. Meteorol. Soc. 90, 1551–1554 (2009).
36. Palmer, T. N., Doblas-Reyes, F. J., Weisheimer, A. & Rodwell, M. J. Bull. Am. Meteorol. Soc. 90, 1551–1554 (2009).
37. Sippel, S. et al. A novel bias correction methodology for climate impact simulations. Earth Syst. Dyn. 7, 71 (2016).
38. Jeon, S., Paciorek, C. J. & Wehner, M. F. Quantile-based bias correction and uncertainty quantification of extreme event attribution statements. Weather Clim. Extrem. 12, 24–32 (2016).
39. Zhao, T. et al. How suitable is quantile mapping for postprocessing GCM precipitation forecasts? J. Clim. 30, 3185–3196 (2017).
40. Jung, T., Vitart, F., Ferranti, L. & Morcrette, J. J. Origin and predictability of the extreme negative NAO winter of 2009/10. Geophys. Res. Lett. 38, L07701 (2011).
41. Dole, R. et al. Was there a basis for anticipating the 2010 Russian heat wave? Geophys. Res. Lett. 38, L06702 (2011).
42. Weisheimer, A., Doblas-Reyes, F. J., Jung, T. & Palmer, T. N. On the predictability of the extreme summer 2003 over Europe. Geophys. Res. Lett. 38, 1199–1213 (2011).
43. Harris, I., Jones, P. D., Osborn, T. J. & Lister, D. H. Updated high-resolution grids of monthly climatic observations—the CRU TS3.10 Dataset. Int. J. Climatol. 10.1002/joc.3711 (2013).
44. Menne et al. Global Historical Climatology Network—Daily (GHCN-Daily), Version 3 (2012).
45. Manubens, N. et al. An R package for climate forecast verification. Environ. Model. Softw. 103, 29–42 (2018).