Climatic Change

, Volume 115, Issue 2, pp 291–309

Future heat vulnerability in California, Part I: projecting future weather types and heat events

  • Scott C. Sheridan
  • Cameron C. Lee
  • Michael J. Allen
  • Laurence S. Kalkstein
Article

Abstract

Excessive heat significantly impacts the health of Californians during irregular but intense heat events. Through the 21st century, a significant increase in impact is likely, as the state experiences a changing climate as well as an aging population. To assess this impact, future heat-related mortality estimates were derived for nine metropolitan areas in the state for the remainder of the century. Here in Part I, changes in oppressive weather days and consecutive-day events are projected for future years by a synoptic climatological method. First, historical surface weather types are related to circulation patterns at 500mb and 700mb, and temperature patterns at 850mb. GCM output is then utilized to classify future circulation patterns via discriminant function analysis, and multinomial logistic regression is used to derive future surface weather type at each of six stations in California. Five different climate model-scenarios are examined. Results show a significant increase in heat events over the 21st century, with oppressive weather types potentially more than doubling in frequency, and with heat events of 2 weeks or longer becoming up to ten times more common at coastal locations.

References

  1. Ballester J, Rodo X, Giorgi F (2010) Future changes in Central Europe heat waves expected to mostly follow summer mean warming. Clim Dyn 98:277–284Google Scholar
  2. Barnston AG, Livezey RE (1987) Classification, seasonality, and persistence of low-frequency atmospheric circulation patterns. Mon Weather Rev 115:1083–1126CrossRefGoogle Scholar
  3. Barriopedro D, Fisher E, Luterbacher J, Trigo RM, García-Herrera R (2011) The hot summer of 2010: redrawing the temperature record map of Europe. Science. doi:10.1126/science.1201224
  4. Beniston M (2004) The 2003 heat wave in Europe: a shape of things to come?An analysis based on Swiss climatological data and model simulations. Geophys Res Lett 31. doi:10.1029/2003GL018857
  5. Beniston M (2007) Entering into the “greenhouse century”: recent record temperatures in Switzerland are comparable to the upper temperature quantiles in a greenhouse climate. Geophys Res Lett 34:L16710. doi:10.1029/2007GL030144 CrossRefGoogle Scholar
  6. Boer GJ, Yu B, Kim SJ, Flato GM (2004) Is there observational support for an El Nino-like pattern of future global warming? Geophys Res Lett 31:art. no. L06201. doi:10.1029/2003GL018722 CrossRefGoogle Scholar
  7. Clark R, Brown S, Murphy J (2006) Modeling northern hemisphere summer heat extreme changes and their uncertainties using a physics ensemble of climate sensitivity experiments. J Clim 19:4418–4435CrossRefGoogle Scholar
  8. Collins WD, Bitz CM, Blackmon ML, Bonan GB, Bretherton CS, Carton JA, Chang P, Doney SC, Hack JA, Henderson TB, Kiehl JT, Large WG, McKenna DS, Santer BD, Smith RD (2006) The Community Climate System Model: CCSM3. White paper, NCAR, Boulder, Colorado, USAGoogle Scholar
  9. Demuzere M, Werner M, van Lipzig NPM, Roeckner E (2009) An analysis of present and future ECHAM5 pressure fields using a classification of circulation patterns. Int J Climatol 29:1796–1810CrossRefGoogle Scholar
  10. Ebi KL, Teisberg TH, Kalkstein LS, Robinson L, Weiher RF (2004) Heat watch/warning systems save lives: estimated costs and benefits for Philadelphia 1995–1998. Bull Am Meteorol Soc 85:1067–1073CrossRefGoogle Scholar
  11. Environment Canada (2009a) The Third Generation Coupled Global Climate Model (CGCM3), http://www.cccma.bc.ec.gc.ca/models/cgcm3.shtml. Accessed in January 2010
  12. Environment Canada (2009b) The Third Generation Atmospheric General Circulation Model (AGCM3), http://www.cccma.bc.ec.gc.ca/models/gcm3.shtml. Accessed in January 2010
  13. Gershunov A, Cayan DR, Iacobellis SF (2009) The great 2006 heat wave over California and Nevada: signal of an increasing trend. J Clim 22:6181–6203CrossRefGoogle Scholar
  14. Gillett NP, Allen MR, Williams KD (2003) Modeling the atmospheric response to doubled CO2 and depleted stratospheric ozone using a stratosphere-resolving coupled GCM. Q J R Meteorol Soc 129:947–966CrossRefGoogle Scholar
  15. Gosling SN, McGregor GR, Lowe JA (2011) The benefits of quantifying climate model uncertainty in climate change impacts assessment: an example with heat-related mortality change estimates. Clim Chang doi:10.1007/s10584-011-0211-9
  16. Hajat S, Sheridan SC, Allen MJ, Pascal M, Laaidi K, Yagouti A, Bickis U, Tobias A, Bourque D, Armstrong BG, Kosatsky T (2010) Which days of hot weather are identified as dangerous by Heat-Health Warning Systems? A comparison of the predictive capacity of different approaches. Am J Publ Health 100:1137–1144CrossRefGoogle Scholar
  17. Hayhoe K, Cayan D, Field CB, Frumhoff PC, Maurer EP, Miller NL, Moser SC, Schneider SH, Cahill KN, Cleland EE, Dale L, Drapek R, Hanemann RM, Kalkstein LS, Lenihan J, Lunch CK, Neilson RP, Sheridan SC, Verville JH (2004) Emissions pathways, climate change, and impacts on California. Proc Natl Acad Sci 101:12422–12427CrossRefGoogle Scholar
  18. Hayhoe K, Sheridan SC, Kalkstein LS, Greene JS (2010) Climate change, heat waves, and mortality projections for Chicago. J Great Lakes Res 36:65–73CrossRefGoogle Scholar
  19. Hope PK (2006) Projected future changes in synoptic systems influencing southwest Western Australia. Clim Dyn 26:765–780CrossRefGoogle Scholar
  20. Hope PK, Drosdowsky W, Nicholls N (2006) Shifts in the synoptic systems influencing southwest Western Australia. Clim Dyn 26:751–764CrossRefGoogle Scholar
  21. Intergovernmental Panel on Climate Change (IPCC) (2007) Summary for policymakers. In: Parry ML, Canziani OF, Palutikof JP, van der Linden PJ, Hanson CE (eds) Climate change 2007: impacts, adaptation and vulnerability. Contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, pp 7–22Google Scholar
  22. Kalnay E, Kanamitsu M, Kistler R, Collins W, Deaven D, Gandin L, Iredell M, Saha S, White G, Woollen J, Zhu Y, Chelliah M, Ebisuzaki W, Higgins W, Janowiak J, Mo KC, Ropelewski C, Wang J, Leetmaa A, Reynolds R, Jenne R, Joseph D (1996) The NCEP/NCAR 40-Year reanalysis project. Bull Am Meteorol Soc 77:437–471CrossRefGoogle Scholar
  23. Knapp PA (1992) Correlation of 700mb height data with seasonal temperature trends in the Great Basin (western USA) 1947–1987. Clim Res 2:65–71CrossRefGoogle Scholar
  24. Kyselý J (2009) Recent severe heat waves in central Europe: how to view them in a long-term prospect? Int J Climatol 30:89–109Google Scholar
  25. Lee CC (2011) Utilizing synoptic climatological methods to assess the impacts of climate change on future tornado-favorable environments. Nat Hazards in PressGoogle Scholar
  26. Lee CC, Sheridan SC (2011) A six-step approach to developing future synoptic classifications based on GCM output. Int J Climatol in press. doi:10.1002/joc.2394
  27. Meehl GA, Tebaldi C (2004) More intense, more frequent, and longer lasting heatwaves in the 21st century. Science 305:994–997CrossRefGoogle Scholar
  28. Meehl GA, Stocker TF, Collins WD, Friedlingstein P, Gaye AT, Gregory JM, Kitoh A, Knutti R, Murphy JM, Noda A, Raper SCB, Watterson IG, Weaver AJ, Zhao Z-C (2007) Global climate projections. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) Climate change 2007: the physical science basis. Contribution of working group I to the fourth assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press, CambridgeGoogle Scholar
  29. Raphael MN (2003) The Santa Ana winds of California. Earth Interact 7:1–13CrossRefGoogle Scholar
  30. Schär C, Vidale PL, Lüthi D, Frei C, Häberli C, Liniger MA, Appenzeller C (2004) The role of increasing temperature variability in European summer heatwaves. Nature 427:332–336CrossRefGoogle Scholar
  31. Saunders IR, Byrne JM (1999) Using surface and geopotential height fields for generating grid-scale precipitation. Int J Climatol 19:1165–1176CrossRefGoogle Scholar
  32. Schoof JT, Pryor SC (2003) Evaluation of the NCEP-NCAR reanalysis in terms of synoptic-scale phenomena: a case study from the Midwestern USA. Int J Climatol 23:1725–1741CrossRefGoogle Scholar
  33. Sheppard PR, Comrie AC, Packin GD, Angersbach K, Hughes MK (2002) The climate of the US Southwest. Clim Res 21:219–238CrossRefGoogle Scholar
  34. Sheridan SC (2002) The redevelopment of a weather type classification scheme for North America. Int J Climatol 22:51–68CrossRefGoogle Scholar
  35. Sheridan SC, Kalkstein AJ (2010) Seasonal variability in heat-related mortality across the United States. Nat Hazard 55:291–305CrossRefGoogle Scholar
  36. Sheridan SC, Kalkstein LS (2004) Progress in heat watch-warning system technology. Bull Am Meteorol Soc 85:1931–1941CrossRefGoogle Scholar
  37. Sheridan SC, Kalkstein AJ, Kalkstein LS (2009) Trends in heat-related mortality in the United States, 1975–2004. Nat Hazard 50:145–160. doi:10.1007/s11069-008-9327-2 CrossRefGoogle Scholar
  38. Sheridan SC, Lee CC (2010) Synoptic climatology and the general circulation model. Prog Phys Geogr 34:101–109CrossRefGoogle Scholar
  39. Stone DA, Weaver AJ, Stouffer RJ (2001) Projection of climate change onto modes of atmospheric variability. J Clim 14:3551–3565CrossRefGoogle Scholar
  40. Stott PA, Stone DA, Allen MR (2004) Human contribution to the European heatwave of 2003. Nature 432:610–613CrossRefGoogle Scholar
  41. Tebaldi C, Hayhoe K, Arblaster JM, Meehl GA (2006) Going to extremes, an intercomparison of model-simulated historical and future changes in extreme events. Clim Chang 79:185–211CrossRefGoogle Scholar
  42. Vrac M, Hayhoe K, Stein M (2007) Identification and intermodal comparison of seasonal circulation patterns over North America. Int J Climatol 27:603–620CrossRefGoogle Scholar
  43. Wetterhall F, Bárdossy A, Chen D, Halldin S, Xu C (2009) Statistical downscaling of daily precipitation over Sweden using GCM output. Theor Appl Climatol 96:95–103CrossRefGoogle Scholar
  44. Willett KM, Sherwood S (2011) Exceedance of heat index thresholds for 15 regions under a warming climate using the wet-bulb globe temperature. Int J Climatol in press doi:10.1002/joc.2257

Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Scott C. Sheridan
    • 1
  • Cameron C. Lee
    • 1
  • Michael J. Allen
    • 1
  • Laurence S. Kalkstein
    • 2
  1. 1.Department of GeographyKent State UniversityKentUSA
  2. 2.Department of Geography and Regional StudiesUniversity of MiamiCoral GablesUSA

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