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Is Global Warming Affecting Hurricanes? Kerry Emanuel Massachusetts Institute of Technology
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Program Overview of hurricane risk Evidence connecting hurricane activity to tropical sea surface temperature The evidence for anthropogenic forcing of tropical ocean temperature The future
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Hurricane Risk Tropical cyclones account for the bulk of natural catastrophe U.S. insurance losses Losses vary roughly as the cube of the maximum wind speed Katrina caused > 1300 deaths and > $130 billion in damage
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Source: Roger Pielke, Jr. Total U.S. Hurricane Damage by Decade, in 10 10 2004 U.S. Dollars
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Population of Florida, 1790-2004
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Source: Roger Pielke, Jr. Total Adjusted Damage by Decade, in 10 10 2004 U.S. Dollars
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Total Number of Landfall Events, by Category, 1870-2004
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U.S. Hurricane Damage, 1900-2004,Adjusted for Inflation, Wealth, and Population
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Summary of U.S. Hurricane Damage Statistics: >50% of all normalized damage caused by top 8 events, all category 3, 4 and 5 >90% of all damage caused by storms of category 3 and greater Category 3,4 and 5 events are only 13% of total landfalling events; only 30 since 1870 Landfalling storm statistics are grossly inadequate for assessing hurricane risk
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Part II: Evidence Connecting Hurricane Activity to Tropical Sea Surface Temperature
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No Long-Term Trend in Global Frequency
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Intensity Metric: The Power Dissipation Index A measure of the total frictional dissipation of kinetic energy in the hurricane boundary layer over the lifetime of the storm
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Power Dissipation Based on 3 Data Sets for the Western North Pacific (smoothed with a 1-3-4-3-1 filter) aircraft recon Data Sources: NAVY/JTWC, Japan Meteorological Agency, UKMO/HADSST1, Jim Kossin, U. Wisconsin Years included: 1949-2004
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North Atlantic PDI and Sea Surface Temperatures (Smoothed with a 1-3-4-3-1 filter) Power Dissipation Index (PDI) Scaled Temperature Years included: 1970-2006 Data Sources: NOAA/TPC, UKMO/HADSST1
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Atlantic Sea Surface Temperatures and Storm Max PDI (Smoothed with a 1-3-4-3-1 filter) Scaled Temperature Power Dissipation Index (PDI) Years included: 1870-2006 Data Sources: NOAA/TPC, UKMO/HADSST1
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Decadal Perspective:
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What Environmental Factors Control Hurricane Power Dissipation? Potential Intensity Wind Shear Low level environmental vorticity (“spin”)
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Energy Production and Potential Intensity
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Distribution of Entropy in Hurricane Inez, 1966 Source: Hawkins and Imbembo, 1976
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Maximum Theoretical Wind Speed, V pot Net outgoing radiation Surface Trade Wind speed Ocean mixed layer entrainment Sea Surface Temperature Temperature at top of storm Incoming solar radiation
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Potential intensity and SST can be changed by: Changing solar and infrared radiation Changing ocean mixed layer entrainment Changing mean surface wind speed Also, Potential Intensity (but NOT SST) can be changed by changing the storm top temperature
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Observed Potential Intensity
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MDR Lower Stratospheric Temperature
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Contributions to North Atlantic Potential Intensity (Log of each contribution, minus long-term mean)
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Contributions to North Atlantic Hurricane Power Dissipation: (Log of each contribution, minus long-term mean)
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Part III: What is Causing Changes in the Tropical Sea Surface Temperature?
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Atlantic Sea Surface Temperatures and Surface Temperature Aug-Oct Sea Surface Temperatures (at key latitudes) Aug-Oct HADCRU NH Surface Temperature
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What is Controlling Northern Hemisphere Surface Temperature?
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Begin with Global Mean Surface Temperature
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Greenhouse Gases and Associated Radiative Forcing have been Increasing Total LLGHG Carbon Dioxide Methane Nitrous Oxide Halocarbons 175018001850190019502000 Year 3 2.5 1 0.5 0 Radiative forcing (Watts/square meter) 2 1.5
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Natural Forcing have also Varied with Time
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El Chichón Pinatubo AgungPelée
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Northern hemisphere surface temperature (and late summer-early fall tropical Atlantic sea surface temperature) represents a linear combination of global warming and aerosol cooling Mann and Emanuel 2006 Hypothesis about Why the Northern Hemisphere Differs from the Globe:
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Tropical Atlantic SST(blue), Global Mean Surface Temperature (red), Aerosol Forcing (aqua) Global Mean Surface T MDR SST Aerosol forcing Mann, M. E., and K. A. Emanuel, 2006. Atlantic hurricane trends linked to climate change. EOS, 87, 233-244.
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Best Fit Linear Combination of Global Warming and Aerosol Forcing (red) versus Tropical Atlantic SST (blue) MDR SST Global mean T + aerosol forcing Mann, M. E., and K. A. Emanuel, 2006. Atlantic hurricane trends linked to climate change. EOS, 87, 233-244.
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Part IV: The Future
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Projections of Tropical Cyclone Activity: Downscaling from Global Climate Models
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Using Physics to Improve Hurricane Risk Assessment Generate very large number of synthetic storm tracks consistent with the general circulation of the atmosphere in a given climate Run a coupled ocean-atmosphere model of hurricane intensity along each track to generate wind fields
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Example: 200 Synthetic Tracks
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Cumulative Distribution of Storm Lifetime Peak Wind Speed, with Sample of 2946 Synthetic Tracks
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Use Daily Output from Climate Models to Derive Wind Statistics, Thermodynamic State Needed by Synthetic Track Technique (but hold genesis PDF constant!)
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Compare two simulations from IPCC set: 1. Last 20 years of 20 th century simulations 2. Years 2180-2200 of IPCC Scenario A1b (CO 2 stabilized at 720 ppm)
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Results Using 2000 Atlantic and 2000 North Pacific Tracks from 5 Models: Percent Increase in Basin Power Dissipation
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Results Using 2000 Atlantic and 2000 North Pacific Tracks from 5 Models: Percent Increase in Landfall Power Dissipation
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Summary Atlantic TC frequency, intensity and duration are co-varying with tropical Atlantic SST Changes in tropical cyclone power are driven by changing potential intensity, wind shear, and “spin” of the low-level winds
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Changes in tropical North Atlantic sea temperature mirror changes in northern hemispheric temperature and are probably driven by a combination of cooling by volcanoes and air pollution, and warming by greenhouse gases Long-term risk assessments must account for climate change
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Scientific Basis of the “Natural Cycles” Story The Atlantic Multi-Decadal Oscillation (AMO)
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Power Spectrum of North Atlantic Hurricane Frequency, 1851-2005
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The AMO is a Pattern of Sea Surface Temperature “Main development region” High-latitude North Atlantic S. B. Goldenberg et al., 2001. Science, 293, 474-479
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Variation with time of amplitude of third rotated EOF of the non-ENSO residual 1856-1991 de-trended SST data
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Same, but showing global distribution. From Enfield et al., 1999
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Source: Hadley Centre Global Surface Temperature Data
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De-trended Aug-Oct Northern Hemisphere Surface Temperature (Hadley Centre Global Surface Temperature Data) Variation with Time of the Strength of the AMO (Goldenberg et al. 2001) A
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3000 Atlantic storms in the current climate
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Boston HURDAT: 28 events Method 2: 3000 events
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U.S. Landfall Probability, by Category: Present Climate versus Warmed Climate
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