Abstract
Much of the property damage from natural hazards in the United States is caused by landfalling hurricanes1,2,3—strong tropical cyclones that reach the coast. For the southeastern Atlantic coast of the US, a statistical method for forecasting the occurrence of landfalling hurricanes for the season ahead has been reported4, but the physical mechanisms linking the predictor variables to the frequency of hurricanes remain unclear. Here we present a statistical model that uses July wind anomalies between 1950 and 2003 to predict with significant and useful skill the wind energy of US landfalling hurricanes for the following main hurricane season (August to October). We have identified six regions over North America and over the east Pacific and North Atlantic oceans where July wind anomalies, averaged between heights of 925 and 400 mbar, exhibit a stationary and significant link to the energy of landfalling hurricanes during the subsequent hurricane season. The wind anomalies in these regions are indicative of atmospheric circulation patterns that either favour or hinder evolving hurricanes from reaching US shores.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 51 print issues and online access
$199.00 per year
only $3.90 per issue
Rent or buy this article
Prices vary by article type
from$1.95
to$39.95
Prices may be subject to local taxes which are calculated during checkout

References
Benfield Industry Analysis and Research Team, Catastrophe Losses (Benfield, London, 2004)
Diaz, H. F. & Pulwarty, R. S. Hurricanes: Climate and Socioeconomic Impacts (Springer, Berlin, 1997)
Pielke, R. A. Jr & Landsea, C. W. Normalised hurricane damage in the United States: 1925–1995. Weath. Forecast. 13, 621–631 (1998)
Lehmiller, G. S., Kimberlain, T. B. & Elsner, J. B. Seasonal prediction models for North Atlantic basin hurricane location. Mon. Weath. Rev. 125, 1780–1791 (1997)
Gray, W. M., Landsea, C. W., Mielke, P. W. Jr & Berry, K. J. Predicting Atlantic basin seasonal tropical cyclone activity by 1 August. Weath. Forecast. 8, 73–86 (1993)
Gray, W. M. Atlantic seasonal hurricane frequency. Part II: Forecasting its variability. Mon Weath. Rev. 112, 1669–1683 (1984)
Klotzbach, P. J. & Gray, W. M. Forecasting September Atlantic basin tropical cyclone activity. Weath. Forecast. 18, 1109–1128 (2003)
Bove, M. C., Elsner, J. B., Landsea, C. W., Niu, X. & O'Brien, J. J. Effect of El Niño on U.S. landfalling hurricanes revisited. Bull. Am. Meteorol. Soc. 79, 2477–2482 (1998)
Pielke, R. A. Jr & Pielke, R. A. Sr. La Niña, El Niño and Atlantic hurricane damages in the United States. Bull. Am. Meteorol. Soc. 80, 2027–2034 (1999)
Saunders, M. A., Chandler, R. E., Merchant, C. J. & Roberts, F. P. Atlantic and NW Pacific typhoons: ENSO spatial impacts on occurrence and landfall. Geophys. Res. Lett. 27, 1147–1150 (2000)
Lyons, S. W. U. S. tropical cyclone landfall variability 1950–2002. Weath. Forecast. 19, 473–480 (2004)
Waple, A. M. et al. Climate assessment for 2001. Bull. Am. Meteorol. Soc. 83, S1–S62 (2001)
Neumann, C. J., Jarvinen, B. R., McAdie, C. J. & Hammer, G. R. Tropical Cyclones of the North Atlantic Ocean 1871–1998 (Historical Climatology Series 6–2, National Oceanic and Atmospheric Administration, Asheville, 1999)
Kalnay, E. et al. The NCEP/NCAR 40-year reanalysis. Bull. Am. Meteorol. Soc. 77, 437–471 (1996)
Dong, K. & Neumann, C. J. The relationship between tropical cyclone motion and environmental geostrophic flows. Mon. Weath. Rev. 114, 115–122 (1986)
Franklin, J. L., Feuer, S. E., Kaplan, J. & Aberson, S. Tropical cyclone motion and surrounding flow relationships: searching for beta gyres in Omega dropwindsonde datasets. Mon. Weath. Rev. 124, 64–84 (1996)
Collins, D. J. & Lowe, S. P. A macro validation dataset for U.S. hurricane models. 217–252 (Casualty Actuarial Society, Winter Forum, 2001); available from CAS at 〈http://www.casact.org/pubs〉.
Davis, R. E. Predictability of sea surface temperatures and sea level pressure anomalies over the North Pacific Ocean. J. Phys. Oceanogr. 6, 249–266 (1976)
Chen, W. Y. Fluctuations in northern hemisphere 700 mb height field associated with the Southern Oscillation. Mon. Weath. Rev. 110, 808–823 (1982)
Elsner, J. B. & Schmertmann, C. P. Assessing forecast skill through cross-validation. Weath. Forecast. 9, 619–624 (1994)
Standardised verification system (SVS) for long-range forecasts (LRF). New Attachment II-9 to the Manual on the GDPS (WMO-No. 485), Vol. 1 (WMO, Geneva, 2002)
Wilks, D. S. Statistical Methods in the Atmospheric Sciences (Academic, San Diego, 1995)
Freund, R. J. & Wilson, W. J. Regression Analysis: Statistical Modeling of a Response Variable (Academic, San Diego, 1998)
Hilti, N., Saunders, M. A. & Lloyd-Hughes, B. Forecasting stronger profits. Glob. Reinsurance 6–7 (July/August 2004).
Acknowledgements
We thank B. Lloyd-Hughes for help with Table 3 and other aspects of the work. J. B. Elsner, C. W. Landsea, F. Vitart, J. Heming and I. M. Mason are thanked for comments on the manuscript. This work is supported by the TSR (Tropical Storm Risk) venture sponsored by Benfield (an independent reinsurance intermediary), Royal & SunAlliance (an insurance group), and Crawford & Company (a claims management solutions company). We acknowledge NOAA-CIRES, Climate Diagnostics Center, Boulder, Colorado, for the NCEP/NCAR Global Reanalysis Project data, and NOAA's Hurricane Research Division for the HURDAT North Atlantic hurricane database.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The authors declare that they have no competing financial interests.
Rights and permissions
About this article
Cite this article
Saunders, M., Lea, A. Seasonal prediction of hurricane activity reaching the coast of the United States. Nature 434, 1005–1008 (2005). https://doi.org/10.1038/nature03454
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1038/nature03454
This article is cited by
-
Impacts of marine heatwaves on top predator distributions are variable but predictable
Nature Communications (2023)
-
Impact assessment of Indian Ocean Dipole on the North Indian Ocean tropical cyclone prediction using a Statistical model
Climate Dynamics (2022)
-
Impacts of the Pacific Meridional Mode on Landfalling North Atlantic tropical cyclones
Climate Dynamics (2018)
-
A climatological model of North Indian Ocean tropical cyclone genesis, tracks and landfall
Climate Dynamics (2017)
-
Seasonal forecasting of intense tropical cyclones over the North Atlantic and the western North Pacific basins
Climate Dynamics (2016)
Comments
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.