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Climatic Change

, Volume 97, Issue 1–2, pp 329–337 | Cite as

Hurricane track variability and secular potential intensity trends

  • James P. KossinEmail author
  • Suzana J. Camargo
Open Access
Letter

Abstract

Sea surface temperature in the tropical North Atlantic has been shown to co-vary with hurricane activity on a broad range of time-scales. One general hypothesis for this observed relationship is based on the theory of potential intensity (PI) whereby the local ambient environment determines the maximum intensity that a hurricane can achieve. Under this theory, climate change and resultant changes in PI can affect the distribution of hurricane intensities by modulating the upper extreme values. Indeed, PI averaged over the tropical North Atlantic during the hurricane season has been increasing in concert with sea surface temperature, which introduces an expectation for a secular upward shift in the distribution of hurricane intensities. However, hurricane tracks also largely determine the local storm-ambient environment and thus track variability introduces additional ambient PI variability. Here we show that this additional variance removes the observed secular trend in mean summertime tropical North Atlantic PI, and there is no tacit expectation that hurricanes have become stronger based solely on PI theory. The observed trends in integrated metrics such as hurricane power dissipation are then more likely to be caused by changes in storm frequency and duration due to broader scale regional variability than secular intensity changes due solely to ambient thermodynamics.

Keywords

Tropical Cyclone Tropical Cyclone Activity Tropical Cyclone Genesis Potential Intensity Hurricane Intensity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Allen RJ, Sherwood SC (2008) Warming maximum in the tropical upper troposphere deduced from thermal winds. Nat Geosci 1:399–403. doi: 10.1038/ngeo208 CrossRefGoogle Scholar
  2. Bell DB, Cheliah M (2006) Leading tropical modes associated with interannual and multidecadal fluctuations in North Atlantic hurricane activity. J Climate 19:590–612CrossRefGoogle Scholar
  3. Bister M, Emanuel KA (1998) Dissipative heating and hurricane intensity. Meteorol Atmos Phys 52:233–240CrossRefGoogle Scholar
  4. Demaria M, Kaplan J (1994) Sea surface temperature and the maximum intensity of Atlantic tropical cyclones. J Climate 7:1324–1334CrossRefGoogle Scholar
  5. DeMaria M, Knaff JA, Connell BH (2001) A tropical cyclone genesis parameter for the tropical Atlantic. Weather Forecast 16:219–233CrossRefGoogle Scholar
  6. Elsner JB (2003) Tracking hurricanes. Bull Am Meteorol Soc 84:353–356CrossRefGoogle Scholar
  7. Elsner JB, Kossin JP, Jagger TH (2008) The increasing intensity of the strongest tropical cyclones. Nature 455:92–95CrossRefGoogle Scholar
  8. Emanuel KA (1986) An air-sea interaction theory for tropical cyclones. Part I: Steady state maintenance. J Atmos Sci 43:585–604CrossRefGoogle Scholar
  9. Emanuel KA (1988) The maximum intensity of hurricanes. J Atmos Sci 45:1143–1155CrossRefGoogle Scholar
  10. Emanuel KA (2000) A statistical analysis of hurricane intensity. Mon Weather Rev 128:1139–1152CrossRefGoogle Scholar
  11. Emanuel KA (2005) Increasing destructiveness of tropical cyclones over the past 30 years. Nature 436:686–688CrossRefGoogle Scholar
  12. Emanuel K (2007) Environmental factors affecting tropical cyclone power dissipation. J Climate 20:5497–5509CrossRefGoogle Scholar
  13. Hart RE, Maue RN, Watson MC (2007) Estimating local memory of tropical cyclones through MPI anomaly evolution. Mon Weather Rev 135:3990–4005CrossRefGoogle Scholar
  14. Holland GJ (1997) The maximum potential intensity of tropical cyclones. J Atmos Sci 54:2519–2541CrossRefGoogle Scholar
  15. Holland GJ (2007) Misuse of landfall as a proxy for Atlantic tropical cyclone activity. Eos Trans AGU 88(36):349. doi: 10.1029/2007EO360001 CrossRefGoogle Scholar
  16. Holland GJ, Webster PJ (2007) Heightened tropical cyclone activity in the North Atlantic: natural variability or climate trend? Philos Trans R Soc A 365:2695–2716CrossRefGoogle Scholar
  17. Kalnay E et al (1996) The NCEP/NCAR 40-year reanalysis project. Bull Am Meteorol Soc 77:437–471CrossRefGoogle Scholar
  18. Kimberlain TB, Elsner JB (1998) The 1995 and 1996 North Atlantic hurricane seasons: a return to the tropical-only hurricane. J Climate 11:2062–2069Google Scholar
  19. Knutson TR, Sirutis JJ, Garner ST, Vecchi GA, Held IM (2008) Simulated reduction in Atlantic hurricane frequency under twenty-first-century warming conditions. Nat Geosci. doi: 10.1038/ngeo202 Google Scholar
  20. Kossin JP, Vimont DJ (2007) A more general framework for understanding Atlantic hurricane variability and trends. Bull Am Meteorol Soc 88:1767–1781CrossRefGoogle Scholar
  21. Landsea CW (2007) Counting Atlantic tropical cyclones back to 1900. Eos Trans AGU 88(18). doi: 10.1029/2007EO180001 Google Scholar
  22. Nolan DS, Rappin ED, Emanuel KA (2007) Tropical cyclogenesis sensitivity to environmental parameters in radiative–convective equilibrium. Q J R Meteorol Soc 133:2085–2107CrossRefGoogle Scholar
  23. Smith TM, Reynolds RW, Peterson TC, Lawrimore J (2008) Improvements to NOAA’s historical merged land–ocean surface temperature analysis (1880–2006). J Climate 21:2283–2296CrossRefGoogle Scholar
  24. Stramma RS, Cornillon P, Price JF (1986) Satellite observation of sea surface cooling by hurricanes. J Geophys Res 91:5031–5035CrossRefGoogle Scholar
  25. Wing AA, Sobel AH, Camargo SJ (2007) Relationship between the potential and actual intensities of tropical cyclones on interannual time scales. Geophys Res Lett 34:L08810. doi: 10.1029/2006GL028581 CrossRefGoogle Scholar
  26. Xie L, Yan T, Pietrafesa LJ, Morrison JM, Karl T (2005) Climatology and interannual variability of North Atlantic hurricane tracks. J Climate 18:5370–5381CrossRefGoogle Scholar

Copyright information

© The Author(s) 2009

Open AccessThis is an open access article distributed under the terms of the Creative Commons Attribution Noncommercial License (https://creativecommons.org/licenses/by-nc/2.0), which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

Authors and Affiliations

  1. 1.NOAA’s National Climatic Data CenterUniversity of WisconsinMadisonUSA
  2. 2.Lamont–Doherty Earth ObservatoryColumbia UniversityPalisadesUSA

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