The strong winds and intense rainfall associated with tropical storms can cause both short- and long-term health effects. Destruction or damage of roads, bridges, and hospitals hampers efforts to provide immediate medical services to individuals directly impacted by the tropical storms. Depending on the region, health services cannot be timely provided to take care of personal injuries such as puncture wounds, lacerations, strains, and bone fractures often resulting from the sheer force and impact of tropical storms (Schultz et al., 2005). Trauma is another major health concern associated with hurricanes (WHO, 2008). In addition, individuals suffering from of chronic diseases (e.g., diabetes, asthma, diabetes, and cardiovascular illnesses) experience disruptions in their medical attention. The lack of fresh water for consumption, cleaning, and cooking can cause major health hazards including gastrointestinal illness. In the aftermath of tropical storms, environmental conditions are conducive to the spread of acute and infectious diseases. For example, freestanding water on the surface for prolonged periods of time can become the breeding grounds of mosquitoes that in turn can serve as vectors to carry diseases among the population. Although outbreaks of epidemic-prone diseases such as cholera occur after extensive flooding (Schultz et al., 2005), the endemic potential for epidemics of cholera and other tropical diseases depend on the response of local and international health providers. Individuals unable to evacuate hurricane-impacted areas because of underlying illnesses might be more susceptible to infectious disease. When evacuees are relocated to evacuation centers, crowding and unsanitary conditions can amplify transmission of infectious disease. As documented in this article, in regions such as the Caribbean hurricanes are yearly occurrences. Therefore, health providers need to devise and implement strategies to minimize the health impacts on vulnerable communities. In addition, experience gained from previous storm-related disasters can allow health workers prepare for the demands of their services. Furthermore, pre-hurricane preparations can reduce the post-hurricane burden on health-care systems. Both health providers and meteorologists need to coordinate activates to minimize the impacts of tropical storms on human health.
The health effects enumerated above can change from year to year due to the variability in tropical storm activity. Long-term changes to the global climate as a result of anthropogenic impacts have been mooted, including changes in the global frequencies and intensities of tropical cyclones. Understanding the drivers of these changes and the potential consequences for regional tropical cyclone climates allows policy makers and health providers to consider revisions to their long-term planning. While they may not want to change their strategies while so much remains uncertain for regional projections, building in flexibility into long-term plans facilitates adaptability to possible future climates. With this in mind, we have reviewed the sources of tropical cyclone variations in the current climate and then explored possible changes to these storms in the Caribbean due to global warming. We have found that the dominant factors affecting tropical cyclone viability are ocean temperatures and environmental influences due to other weather systems: warm ocean conditions facilitate and large changes in winds with height inhibit tropical cyclone formation and increases in their winds and rain. These temperature and wind patterns are affected from year-to-year and decade-to-decade by the global ENSO phenomenon, the basin-wide NAO, and their interactions. All of these factors are evident in the historical records of tropical cyclone activity in the Caribbean, although the western and eastern regions have somewhat different histories.
Since global climate models have much more skill at reproducing “big picture” phenomena (IPCC, 2007a and b), we have explored changes in ENSO, ocean temperatures and wind shear foreshadowed by these models as a way of inferring likely changes to the Caribbean tropical cyclone climate. The most likely (although still uncertain) change in global patterns is for more frequent ENSO events. This would result in a decrease in North Atlantic tropical cyclone numbers and a shift in average hurricane track locations. Interactions between ENSO and the NAO seem to modulate Caribbean tropical cyclones (Giannini et al., 2001), so while Caribbean storm numbers may decrease over time, this decrease will probably be smaller than the decrease in storm numbers over the remainder of the basin. Finally, we cannot forget interannual variability: even with a decrease in the mean number of Caribbean tropical cyclones, there will still be active years.
Ocean temperatures in the Caribbean will likely increase, providing a driver for more intense tropical cyclones (Emanuel, 2006). However, changes in other weather systems mean that the vertical wind shear in the tropical cyclone environment will also be stronger, and so will inhibit tropical cyclone intensity (Vecchi and Soden, 2007). Even with all of the caveats and uncertainties expressed here, a policymaker would be wise to consider planning strategies that allow for the possibility of more intense tropical cyclones and higher sea levels leading to more storm surge inundation: insurance for societal resilience.
Bolin, Robert. 1986. “Disaster Impact and Recovery: A Comparison of Black and WhiteVictims.” International Journal of Mass Emergencies and Disasters 4(1): 35–51.
Braun, S. A., 2010: Reevaluating the role of the Saharan Air Layer in Atlantic tropical cyclogenesis and evolution. Mon. Wea. Rev., 138, 2007-2037, doi: 10.1175/2009MWR3135.1.
Chen, A.A., and M.A. Taylor, 2002: Investigating the link between early season Caribbean rainfall and the El Niño +1 year. Int. J. Climatol., 22, 87–106.
Chenoweth, M., and D. Divine, 2008: A document-based 318-year record of tropical cyclones in the Lesser Antilles, 1690–2007. Geochem. Geophys. Geosyst., 9, Q08013, doi:10.1029/2008GC002066.
De Souza, G., 2001: Tropical Cyclones affecting Trinidad and Tobago, 1725 to 2000. Updated from 1986 report by Daniel and Maharaj. Meteorological Services of Trinidad and Tobago, 15pp. Available from http://www.odpm.gov.tt/files/cms/Tropical_Cyclones.pdf.
Donnelly, J. P., and J. D. Woodruff, 2007: Intense hurricane activity over the past 5,000 years controlled by El Niño and the West African monsoon. Nature, 447, 465–468.
Dunion, J. P., and C. S. Velden, 2004: The impact of the Saharan air layer on Atlantic tropical cyclone activity. Bull. Amer. Meteorol. Soc., 85, 353-365.
Emanuel, K. A., 2005: Increasing destructiveness of tropical cyclones over the past 30 years. Nature, 436, 686-688, doi:10.1038/nature03906.
Emanuel, K. A., 2006: Climate and tropical cyclone activity: A new model downscaling approach. J. Climate, 19, 4797-4802.
Evans, J. L., 2010: Chapter 8. Tropical Cyclones. In An Introduction to Tropical Meteorology. A. Laing and J. L. Evans (Eds.). Available from http://www.meted.ucar.edu/tropical/textbook/ch10/tropcyclone_10_1_1.html.
Fernández Partagás, J., and H. Diaz, 1996: Atlantic hurricanes in the second half of the nineteenth century. Bull. Amer. Meteor. Soc., 77, 2899-2906.
Fordham, Maureen. 1999. “The Intersection of Gender and Social Class in Disaster: Balancing Resilience and Vulnerability.” International Journal of Mass Emergencies and Disasters 17 (1): 15-36.
Giannini, A., Y. Kushnir, and M.A. Cane, 2000: Interannual variability of Caribbean rainfall, ENSO and the Atlantic Ocean. J. Clim., 13, 297–311.
Giannini, A., M.A. Cane, and Y. Kushnir, 2001: Interdecadal changes in the ENSO teleconnection to the Caribbean region and North Atlantic Oscillation. J. Clim., 14, 2867–2879.
Goldenberg, S. B., C. W. Landsea, A. M. Mestas-Nuñez, and W. M. Gray, 2001: The recent increase in Atlantic hurricane activity: Causes and implications. Science, 293, 474-479.
Goldenberg, S. B., and L. J. Shapiro, 1996: Physical mechanisms for the association of El Niño and West African rainfall with Atlantic major hurricane activity. J. Climate, 9, 1169-1187.
Gray, W. M., 1968: Global view of the origin of tropical disturbances and storms. Mon. Wea. Rev., 96, 669-700.
Gray, W. M., 1979: Hurricanes: their formation, structure and likely role in the tropical circulation. In Meteorology Over the Tropical Oceans, D. B. Shaw (Ed), Roy.Meteor. Soc., 155-218.
Gray, W.M., 1984: Atlantic seasonal hurricane frequency. Part I: El Niño and 30 mb quasi-biennial oscillation influences. Mon. Weather Rev., 112, 1649–1668.
Gray, W. M., and C. W. Landsea, 1991: African rainfall as a precursor of hurricane-related destruction on the U.S. East Coast. Bull. Amer. Meteor. Soc., 73, 1352-1364.
IPCC, 2007a: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor and H.L. Miller (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 996 pp.
IPCC, 2007b: Summary for Policymakers. In: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M.Tignor and H.L. Miller (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
Jonkman, S. N., and I. Kelman, 2005: An analysis of causes and circumstances of flood disaster deaths. Disasters, 29, 75–97.
Knutson, T. R., J. L. McBride, J. Chan, K. Emanuel, G. Holland, C. Landsea, I. Held, J. P. Kossin, A. K. Srivastava and M. Sugi, 2010: Tropical cyclones and climate change. Nature Geoscience, 3, 157163, doi:10.1038/ngeo779.
Knutson, T.R., J.J. Sirutis, S.T. Garner, G.A. Vecchi and I.M. Held, 2008: Simulated reduction in Atlantic hurricane frequency under twenty-first-century warming conditions, Nature Geoscience, doi:10.1038/ngeo202
Landsea, 2007: Counting Atlantic tropical cyclones back to 1900. Eos, Trans. Amer. Geophys. Union, 88, doi: 10.1029/2007EO180001.
Landsea, C. W., B. A. Harper, K. Hoarau and J. A. Knaff, 2006: Can we detect trends in extreme tropical cyclones? Science. 313, 452-454.
Landsea, C.W., G.A. Vecchi, L. Bengtsson, and T.R. Knutson, 2010: Impact of Duration Thresholds on Atlantic Tropical Cyclone Counts. J. Climate doi: 10.1175/2009JCLI3034.1.
Landsea, C. W., W. M. Gray, P. W. Mielke Jr. and K. J. Berry, 1992: Long-term variations of western Sahelian monsoon rainfall and intense U.S. landfalling hurricanes. J. Climate, 5, 1528-1534.
Landsea, C. W., and W. M. Gray, 1992: The strong association between western Sahelian monsoon rainfall and intense Atlantic hurricanes. J. Climate, 5, 435-453.
Madden, R. A., P. R. Julian, 1994: Observations of the 40–50-day tropical oscillation—A review. Mon. Wea. Rev., 122, 814–837.
Maloney, E. D., D. L. Hartmann, 2000: Modulation of hurricane activity in the Gulf of Mexico by the Madden-Julian Oscillation. Science, 287, 2002-2004.
Mann, M. E., and K. A. Emanuel, 2006: Atlantic hurricane trends linked to climate change. Eos Trans. AGU, 87, 233,238,241.
Michael E. Mann, M. E., T. A. Sabbatelli, and U. Neu, 2007: Evidence for a modest undercount bias in early historical Atlantic tropical cyclone counts. Geophys. Res. Letters, 34, L22707, doi:10.1029/2007GL031781.
NCEP, 2010: U.S. National Centers for Environmental Prediction, updated monthly: NCEP/NCAR Global Reanalysis Products, 1948-continuing. Dataset ds090.0 published by the CISL Data Support Section at the National Center for Atmospheric Research, Boulder, CO, available online at http://dss.ucar.edu/datasets/ds090.0/. Accessed November 2010.
NHC 2010b: The Saffir Simpson hurricane wind scale. http://www.nhc.noaa.gov/sshws.shtml.
NHC 2010c: Hurricane best track files (HURDAT). Available from http://www.nhc.noaa.gov/pastall.shtml#hurdat.
NOAA 2010a – NOAA/ESRL Multivariate ENSO Index (MEI). Available from http://www.esrl.noaa.gov/psd/people/klaus.wolter/MEI/mei.html (accessed November 2010).
NOAA 2010b: Hurricane Research Division Frequently Asked Questions. Available from http://www.aoml.noaa.gov/hrd/tcfaq/J6.html (accessed December 2010).
Nyberg, J., B. A. Malmgren, A. Winter, M. R. Jury, K. H. Kilbourne and T. M. Quinn, 2007: Low Atlantic hurricane activity in the 1970s and 1980s compared to the past 270 years. Nature, 447, 698–702, doi:10.1038/nature05895.
Oliver-Smith, Anthony. 2006. “Disasters and Forced Migration in the 21st Century.” Social Science Research Council: Katrina Research Hub. Accessed at http://understandingkatrina.ssrc.org/Oliver-Smith/ on March 3, 2011.
Oouchi, K., et al., 2006: Tropical cyclone climatology in a global-warming climate as simulated in a 20 km-mesh global atmospheric model: Frequency and wind intensity analyses. J. Meteorol. Soc. Japan, 84, 259–276.
Rappaport, E. N., 2000: Loss of Life in the United States Associated with Recent Atlantic Tropical Cyclones. Bull. Amer. Meteor. Soc., 81, 2065-2073.
Rappin, E. D., D. S. Nolan, and K. A. Emanuel, 2010: Thermodynamic control of tropical cyclogenesis in environments of radiative-convective equilibrium with shear. Q. J. R. Meteorol. Soc. 136, 1954–1971.
Sabbatelli, T. A., and M. E. Mann, 2007: The influence of climate state variables on Atlantic tropical cyclone occurrence rates. J. Geophys. Res., 112, doi:10.1029/ 2007JD008385.
Shultz, J. M., J. Russell and Z. Espinel, 2005: Epidemiology of Tropical Cyclones: The Dynamics of Disaster, Disease, and Development. Epidemiologic Reviews, 27, 21-25, doi:10.1093/epirev/mxi011.
Sugi, M., A. Noda, and N. Sato, 2002: Influence of the global warming on tropical cyclone climatology: An experiment with the JMA Global Model. J. Meteorol. Soc. Japan, 80, 249–272.
Vecchi, G.A., and T.R. Knutson, 2008: On Estimates of Historical North Atlantic Tropical Cyclone Activity. J. Climate, 21(14),3580-3600.
Vecchi, G. A., and B. J. Soden, 2007: Increased tropical Atlantic wind shear in model projections of global warming. Geophys. Res. Lett., 34, doi:10.1029/2006GL028905.
Viñes, Benito, 1877: Apuntes relatives a los huracanes de las Antillas en Septiembre y Octubre de 1875 y 76 [Relative Points of the Hurricanes of the Antilles in September and October of 1875 and 1876]. Tipografía El Iris, Havana, Cuba, 256pp.
Viñes, Benito, 1895: Investigaciones relativas a la circulación y traslación ciclónica en los huracanes de las Antillas [Investigations Relating to the Circulation and Cyclonic Translation of Hurricanes of the Antilles]. Imprenta El Avisador Comercial, Havana, Cuba, 79pp.
Viñes, Benito, 1898: Investigations Relating to the Circulation and Cyclonic Translation of Hurricanes of the Antilles. US Weather Bureau.
Webster, P.J., G.J. Holland, J.A. Curry, and H-R. Chang, 2005: Changes in tropical cyclone number, duration and intensity in a warming environment. Science, 309, 1844-1846.
WHO, 2006: Was 2005 the year of natural disasters? Bulletin of the World Health Organization, 84(1), January 2006, 1-80. Available from http://www.who.int/bulletin/volumes/84/1/news10106/en/index.html.
WHO 2008: 2008 Hurricane Season. Pan American Health Organisation (PAHO) disasters archive. Available from http://www.amro.who.int/English/DD/PED/hurricanes2008.htm.
WMO, 2006: Tropical Meteorology Research Program (TMRP) Statement on Tropical Cyclones and Climate Change. Available from http://www.bom.gov.au/bmrc/clfor/cfstaff/jmb/CAS-statement.pdf.
Figure 1. Satellite montage showing the track of Hurricane Georges (1998) as it passed through the Caribbean, making landfall on many islands. Image developed by researchers at CIMSS (Cooperative Institute of Meteorological Satellite Studies) and available from http://cimss.ssec.wisc.edu/tropic/archive/1998/storms/georges/mgeorg2.gif.
Figure 2. Caribbean region (10-27.5N, 57.5-85W) as used in the present study. In this study, we partition the region into western (west of 68W) and eastern Caribbean as indicated on the map. Red symbols are breakpoints used by the US National Hurricane Center (NHC). Graphic is courtesy of National Hurricane Center (NHC).
WESTERN CARIBBEAN TRACKS
EASTERN CARIBBEAN TRACKS
Figure 3. Tracks of tropical cyclones (TC) over the entire North Atlantic basin 1900-2009 (top); tropical cyclones occurring between 1900-1979 (the pre-satellite era) are plotted in grey. Tracks of TC occurring after 1979 are color coded based on their maximum intensity as they passed through the Caribbean as follows: weaker (tropical storm or category 1 hurricane) systems (blue); TC of at least category 2 intensity (red); and storms that had no impact in the Caribbean (green). Track ranges for TC+ category 1, category 2 and category 3-5 storms (going down) for the western and eastern Caribbean are plotted in the left and right columns respectively. The solid line is the mean track for the category and the dash lines bound the 95th percentile.
Figure 4. Storm track envelopes for months that are climatologically most likely to have TC impact on the Caribbean. Images courtesy of the US National Hurricane Center and available from http://www.nhc.noaa.gov/pastprofile.shtml#bac.
Figure 5. Map of the strongest surface wind speed at each location for days when a tropical storm was in the Caribbean basin. Wind speed is in meters per second (1 m s-1 = 2.2 mph); tropical storms have winds exceeding 17 m s-1 (yellow) and hurricanes exceed 33 m s-1 (purple). Winds plotted here are from a computer analysis of the observed winds that leads to smoothing of these winds; thus all values here represent lower bounds on the actual winds experienced at a given location.
Figure 6. Analysis of tropical cyclones impacting the Caribbean basin in the 30-year period 1980-2009: (a) storm tracks; and (b) the tropical cyclone environment averaged over all August-September-October (ASO) 3-month periods in 1980-2009. Ocean surface temperature is shaded (C), surface pressure is contoured (units of millibars) and average surface winds are drawn as vectors (i.e., arrows).
Figure 7. Satellite map showing the interaction between the dust layer associated with a Saharan Air Layer (SAL) event and Hurricane Erin (2001). Image originally published in Evans (2010). The operational product depicted here is documented in the paper by Dunion and Velden (2004) and is available from http://cimss.ssec.wisc.edu/tropic2/real-time/salmain.php?&prod=splitE&time.
Figure 8. Analyses of annual tropical cyclone activity: (a) Annual tropical cyclone frequency for 1900-2009 in the western (blue) and eastern (red) Caribbean regions and the remainder of the North Atlantic basin (green). TCs impacting both western and eastern Caribbean domains are attributed to the first region they entered and so are only counted once. The total for each year is represented by the three colors combined. Bottom panels are the probability distributions of annual tropical cyclone frequency for the western (left) and eastern (right) Caribbean.
Figure 9. Focus on the Caribbean: (a) tracks of all TCs impacting the Caribbean restricted only to ENSO years (Table 1) within the period 1980-2009; and (b) ocean surface temperature (shaded; C), and surface pressure (contours; millibars) averaged over the August-September-October (ASO) 3-month periods for the same set of ENSO years listed in Table 1. (c) as in (b), but for the entire North Atlantic basin.
Figure 10. Decadal tropical cyclone activity for 1900-2009 in (a) western and (b) eastern Caribbean regions. The number of years in each decade designated as ENSO events is indicated by the line with the scale on the right axis (Table 1).
Table 1. ENSO years within the period 1950-2009 used to compile the statistics in Fig 10. Years from 1980 forward were used for the composites depicted in Fig. 9. ENSO years designated as “strong” are indicated in bold, while italics signify “moderate” ENSO events.
Years used in ENSO diagnostics
Table 2. Projected changes in tropical cyclones across the globe associated with a warming of the climate. The IPCC expresses confidence in their projections. Their terminology equating to probability of occurrence is explained in the text (section 5.1). Confidence in projections for global changes in tropical cyclone characteristics ranges from medium to likely as listed in this table. A GCM refers to high-resolution atmospheric global climate models; these models do not have direct ocean feedbacks.