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The Storm Next Time:
Hurricanes and Climate Change
Kerry Emanuel
EAPS and Lorenz Center, MIT
Program
The global hurricane hazard
Inferences from historical and geological
records
Inferences from basic physics
Using physics to estimate risk
North Carolina’s hurricane risk
The Global Hurricane Hazard
About 10,000 deaths per year since 1971
$700 Billion 2015 U.S. Dollars in Damages
Annually since 1971
Global population exposed to hurricane
hazards has tripled since 1970
EM-DAT, 2016: The OFDA/CRED International Disaster Database
http://www.emdat.be/.
Hurricane Risks:
Wind
Rain
Storm Surge
Privately insured… $$$
Publicly
insured…
No $$$
Historical Records
Pre-1943: Anecdotal accounts from coastal cities and ships
1943: Introduction of routine aircraft reconnaissance in
Atlantic, western North Pacific
1958: Inertial navigation permits direct measurement of
wind speed at flight level
1970: Complete global detection by satellites
1978: Introduction of satellite scatterometry
1987: Termination of airborne reconnaissance in western
North Pacific
2017: Introduction of CYGNSS scatterometry
Prior to 1970, Many Storms Were Missed
Major hurricanes in the North Atlantic, 1851-2016, smoothed using a 10-
year running average. Shown in blue are storms that either passed through
the chain of Lesser Antilles or made landfall in the continental U.S.; all other
major hurricanes are shown in red. The dashed lines show the best fit trend
lines for each data set.
Time series of the latitudes
at which tropical cyclones
reach maximum intensity.
From Kossin et al. (2014)
Hurricanes are
reaching peak
intensity at higher
latitudes
Note: Instrument not yet calibrated for V > 35 m/s
…readings above capped at that value. Courtesy Chris Ruf, U. Michigan
barrier beach
backbarrier marsh
lagoon
barrier beach
backbarrier marsh
lagoon
a)
b)
Source: Jeff Donnelly, WHOI
upland
upland
flood tidal delta
terminal lobes
overwash fan
overwash fan
Paleotempestology
Jeffrey P. Donnelly and Jonathan D. Woodruff, Nature, 2007
Basic Physics: Energy Production
Theoretical Steady-State Maximum
Hurricane Wind Speed:
Air-sea enthalpy
disequilibrium of
moist static energy
Surface
temperature
Outflow
temperature
Ratio of
exchange
coefficients of
enthalpy and
momentum
 2 * *
0
0
k s o
pot e
D
C T T
V h h
C T

 
Saturation
static energy of
sea surface
Saturation
static energy of
troposphere
0o
60o
E 120o
E 180o
W 120o
W 60o
W
60o
S
30o
S
0o
30o
N
60o
N
0 10 20 30 40 50 60 70 80
Annual Maximum Potential Intensity (m/s)
Potential Intensity and CO2
Trends in Thermodynamic Potential for Hurricanes, 1980-2010
(NCAR/NCEP Reanalysis)
ms-1decade-1
Projected Trend Over 21st Century: GFDL model
under RCP 8.5
ms-1decade-1
Inferences from Basic Theory:
Potential intensity increases with global
warming
Incidence of high-intensity hurricanes should
increase
Increases in potential intensity should be
faster in sub-tropics
Hurricanes will produce substantially more
rain: Clausius-Clapeyron yields ~7%
increase in water vapor per 1oC warming
Using Physics to Estimate
Hurricane Risk
Why Not Use Global Climate Models to
Simulate Hurricanes?
Wind Speed (meters per second)
Histograms of Tropical
Cyclone Intensity as
Simulated by a Global
Model with 30 mile grid
point spacing. (Courtesy
Isaac Held, GFDL)
Category 3
Global models do not
simulate the storms that
cause destruction
Observed
Modeled
Problem: Today’s models are far too coarse to simulate
destructive hurricanes
How to deal with this?
Embed high-resolution, fast coupled
ocean-atmosphere hurricane model in
GCM or reanalysis data
Risk Assessment Approach:
Step 1: Seed each ocean basin with a very large number
of weak, randomly located cyclones
Step 2: Cyclones are assumed to move with the large
scale atmospheric flow in which they are embedded, plus
a correction for the earth’s rotation and sphericity
Step 3: Run the CHIPS model for each cyclone, and note
how many achieve at least tropical storm strength
Step 4: Using the small fraction of surviving events,
determine storm statistics. Can easily generate 100,000
events
Details: Emanuel et al., Bull. Amer. Meteor. Soc, 2008
Cumulative Distribution of Storm Lifetime Peak Wind
Speed, with Sample of 1755 Synthetic Tracks
90% confidence
bounds
Captures Much of the Observed North Atlantic Interannual Variability
r2=0.65
North Atlantic Major Hurricanes Downscaled from NOAA 20th Century
Reanalysis
(Forced by sea surface temperature, surface pressure, and sea ice only)
North Atlantic Major Hurricanes Downscaled from NOAA 20th Century
Reanalysis
(Forced by sea surface temperature, surface pressure, and sea ice only)
Storm Surge Simulation (Ning Lin)
SLOSH mesh
~ 103 m
ADCIRC mesh
~ 102 m
Battery
ADCIRC model
(Luettich et al. 1992)
SLOSH model
(Jelesnianski et al. 1992)
ADCIRC mesh
~ 10 m
(Colle et al. 2008)
Surge Return Periods for The Battery, New York
Sandy
Application to Hurricane Harvey
Risk Assessment for Houston and Texas:
Run 100 events for each year from 1980 to 2016 (3700
events total) passing within 300 km of Houston,
downscaled from three climate reanalyses
Run 100 events each year from 1979-2015 passing over
the Texas coastline, downscaled from NCAR/NCEP
reanalyses. Calculate storm total rainfall for each event at
each of 78 points constituting a grid extending from 26o N
to 31o N and from 99o W to 94o W, at increments of 0.5o,
but excluding points over the Gulf
Run 100 events each year during two periods: 1981-2000
and 2081-2100, passing within 300 km of Houston,
downscaled from six climate models
Example of Accumulated Rainfall from a Harvey-like Event
Downscaled from ERA Interim Reanalysis
Probability of Storm Accumulated Rainfall at Houston, from 3 Climate
Reanalyses, 1980-2016 Based on 3700 Events Each. Shading shows
spread among the reanalyses.
Harvey
Probability of a Accumulated Hurricane Rain Anywhere in Texas,
based on 3700 Events Downscaled from NCAR/NCEP Reanalysis
with Rainfall Analyzed at 78 Points
Probability of Storm Accumulated Rainfall at Houston, from 6
Climate models, 1981-2000 and 2081-2100, Based on 2000
Events Each. Shading shows spread among the models.
Harvey
Hurricane Irma
Run 100 events each year during two
periods: 1981-2000 and 2081-2100,
passing within 300 km of Barbuda,
downscaled from six climate models
Irma
Probabilities of Storms of Irma’s Intensity within 300 km of Barbuda,
from 6 Climate models, 1981-2000 and 2081-2100, Based on 2000
Events Each. Shading shows spread among the models.
Hurricane Maria
Run 100 events each year during two
periods: 1981-2000 and 2081-2100,
passing within 150 km of 17oN, 64oW,
downscaled from four climate models
Maria
North Carolina Hurricanes
Over its history, North Carolina has experienced over 400
tropical cyclones that passed over or near the state
NC ranks 4th among all states in number of hurricanes
Collectively, hurricanes have killed more than 1,000
residents and caused more than $11 billion (2008) in
losses
SS Central America
Loss of 424 people,
30,000 lbs gold
Longest lived Atlantic hurricane on record (August 3 – September 4)
Maybe strongest hurricane to affect North Carolina (120 MPH, though
instruments destroyed)
All of Cape Hatteras submerged
All piers and bridges destroyed
Hurricane Hazel, 1954
18 ft storm surge + 115 knot (130 MPH) winds, probably strongest on record
NWS, Raleigh: “All traces of civilization on the immediate waterfront
between the state line and Cape Fear were practically annihilated”
“Every pier in a distance of 170 miles of coastline was demolished".
Still a Cat 1 hurricane at Toronto, doing much damage there
Hurricane Floyd, 1999
Hurricane Irene, 2011
The Future of North Carolina
Hurricanes
The 100-year
event in 2086: 140
knots at NC
landfall
Summary
The observational record of hurricanes is too
short and noisy, and of a quality too low to
make robust inferences of climate signals
Satellite data do show a migration of peak
intensity toward higher latitudes and some
indication of a greater fraction of intense
storms
Recovery of hurricane proxies from the
geological record is beginning to show
some climate signals
Summary (continued)
Potential intensity theory demonstrates that
the thermodynamic limit on hurricane
intensity rises with temperature
Observations show that this limit is indeed
increasing
Physics can be used to model hurricane risk in
current and future climates
Summary (continued)
Rain of Harvey’s magnitude in Texas was a ~ 1%
annual probability event in 1990 and is projected
to increase to 18% by 2090. A linear increase in
frequency yields a 6% probability in 2017.
Irma’s peak winds of 185 MPH within 300 km of
Barbuda are estimated to have had an annual
probability of 0.13% in 1990, increasing to 1.3%
in 2090
North Carolina’s hurricane wind and flood risks are
projected to increase substantially over this
century
Spare Slides
Flood inundation signal. Courtesy Chris Ruf
Variation of Potential Intensity with Ocean Heat Flux,
Surface Wind Speed, CO2, and Solar Forcing
Emanuel, K., and A. Sobel, 2013: Response of tropical sea surface temperature, precipitation,
and tropical cyclone-related variables to changes in global and local forcing. J. Adv. Model.
Earth Sys., 5, doi:10.1002/jame.20032
Tracks of North Atlantic hurricanes that reaches at least Category 4 intensity in the
climate of the late 20th century (top) and late 21st century (bottom). These storms
were simulated by a high resolution regional model driven by the global climate state
representing an average of 18 global climate models. The regional model was
developed at NOAA’s Geophysical Fluid Dynamics Laboratory in Princeton, NJ. From
Bender and co-authors, Science, 2010.
Inferences from Spanish Shipwrecks
Trouet at al., PNAS. 2016
Sea Surface Scatterometry
Woods Hole research assistants Dana McDonald, Skye Moret, Sam Zipper
and Phil Lane on a makeshift catamaran used in paleotempestology
research. (Photo by Jim Morrison)
The YOK-GTC reconstruction compared
to documentary records of hurricane
landfall in the Caribbean and North
Atlantic Basins. Frequency distributions
(relative %) of hurricanes affecting (a)
the entire North Atlantic Basin and
locations along the western margin of
the North Atlantic (b) Bermuda, (c)
Florida, (d) Puerto Rico, and (e) Jamaica,
calculated from previously published
documentary data. From Baldini et al.,
Nature Scientific Reports, 2016, DOI:
10.1038/srep37522
Belize data based on stable isotope
analysis of stalagmites at Yoks Balum
cave in southern Belize
Cumulative Frequency of Storm Lifetime Maximum
Intensity Normalized by Potential Intensity
Time-dependent, axisymmetric model
phrased in R space
Hydrostatic and gradient balance above PBL
Moist adiabatic lapse rates on M surfaces above
PBL
Boundary layer quasi-equilibrium convection
Deformation-based radial diffusion
Coupled to simple 1-D ocean model
Environmental wind shear effects parameterized
2
sin( )M rV r   2
sin( )R M 
Angular Momentum Distribution
Altitude
(km)
Storm Center
RMS Intensity Error, 2009-2015
North Atlantic
How Can We Use This Model to
Help Assess Hurricane Risk in
Current and Future Climates?
Hurricane Floyd
10 ft storm surge, numerous tornadoes, extreme
freshwater flooding
35 fatalities, $4 billion (1999 dollars) damage
7,000 homes destroyed, 17,000 uninhabitable, 56,000
damaged
500,000 households lost electricity
Some streams experienced 500 year floods
NC Secretary of Health and Human Services: “Nothing
since the Civil War has been as destructive to families
here”.

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SAMSI Public Lecture, The Storm Next Time: Hurricanes and Climate Change - Dr. Kerry Emanuel, Oct 9, 2017

  • 1. The Storm Next Time: Hurricanes and Climate Change Kerry Emanuel EAPS and Lorenz Center, MIT
  • 2. Program The global hurricane hazard Inferences from historical and geological records Inferences from basic physics Using physics to estimate risk North Carolina’s hurricane risk
  • 3. The Global Hurricane Hazard About 10,000 deaths per year since 1971 $700 Billion 2015 U.S. Dollars in Damages Annually since 1971 Global population exposed to hurricane hazards has tripled since 1970 EM-DAT, 2016: The OFDA/CRED International Disaster Database http://www.emdat.be/.
  • 5.
  • 7. Historical Records Pre-1943: Anecdotal accounts from coastal cities and ships 1943: Introduction of routine aircraft reconnaissance in Atlantic, western North Pacific 1958: Inertial navigation permits direct measurement of wind speed at flight level 1970: Complete global detection by satellites 1978: Introduction of satellite scatterometry 1987: Termination of airborne reconnaissance in western North Pacific 2017: Introduction of CYGNSS scatterometry
  • 8. Prior to 1970, Many Storms Were Missed Major hurricanes in the North Atlantic, 1851-2016, smoothed using a 10- year running average. Shown in blue are storms that either passed through the chain of Lesser Antilles or made landfall in the continental U.S.; all other major hurricanes are shown in red. The dashed lines show the best fit trend lines for each data set.
  • 9. Time series of the latitudes at which tropical cyclones reach maximum intensity. From Kossin et al. (2014) Hurricanes are reaching peak intensity at higher latitudes
  • 10. Note: Instrument not yet calibrated for V > 35 m/s …readings above capped at that value. Courtesy Chris Ruf, U. Michigan
  • 11. barrier beach backbarrier marsh lagoon barrier beach backbarrier marsh lagoon a) b) Source: Jeff Donnelly, WHOI upland upland flood tidal delta terminal lobes overwash fan overwash fan Paleotempestology
  • 12. Jeffrey P. Donnelly and Jonathan D. Woodruff, Nature, 2007
  • 13. Basic Physics: Energy Production
  • 14. Theoretical Steady-State Maximum Hurricane Wind Speed: Air-sea enthalpy disequilibrium of moist static energy Surface temperature Outflow temperature Ratio of exchange coefficients of enthalpy and momentum  2 * * 0 0 k s o pot e D C T T V h h C T    Saturation static energy of sea surface Saturation static energy of troposphere
  • 15. 0o 60o E 120o E 180o W 120o W 60o W 60o S 30o S 0o 30o N 60o N 0 10 20 30 40 50 60 70 80 Annual Maximum Potential Intensity (m/s)
  • 17. Trends in Thermodynamic Potential for Hurricanes, 1980-2010 (NCAR/NCEP Reanalysis) ms-1decade-1
  • 18. Projected Trend Over 21st Century: GFDL model under RCP 8.5 ms-1decade-1
  • 19. Inferences from Basic Theory: Potential intensity increases with global warming Incidence of high-intensity hurricanes should increase Increases in potential intensity should be faster in sub-tropics Hurricanes will produce substantially more rain: Clausius-Clapeyron yields ~7% increase in water vapor per 1oC warming
  • 20. Using Physics to Estimate Hurricane Risk
  • 21. Why Not Use Global Climate Models to Simulate Hurricanes?
  • 22. Wind Speed (meters per second) Histograms of Tropical Cyclone Intensity as Simulated by a Global Model with 30 mile grid point spacing. (Courtesy Isaac Held, GFDL) Category 3 Global models do not simulate the storms that cause destruction Observed Modeled Problem: Today’s models are far too coarse to simulate destructive hurricanes
  • 23. How to deal with this? Embed high-resolution, fast coupled ocean-atmosphere hurricane model in GCM or reanalysis data
  • 24. Risk Assessment Approach: Step 1: Seed each ocean basin with a very large number of weak, randomly located cyclones Step 2: Cyclones are assumed to move with the large scale atmospheric flow in which they are embedded, plus a correction for the earth’s rotation and sphericity Step 3: Run the CHIPS model for each cyclone, and note how many achieve at least tropical storm strength Step 4: Using the small fraction of surviving events, determine storm statistics. Can easily generate 100,000 events Details: Emanuel et al., Bull. Amer. Meteor. Soc, 2008
  • 25.
  • 26. Cumulative Distribution of Storm Lifetime Peak Wind Speed, with Sample of 1755 Synthetic Tracks 90% confidence bounds
  • 27. Captures Much of the Observed North Atlantic Interannual Variability r2=0.65
  • 28. North Atlantic Major Hurricanes Downscaled from NOAA 20th Century Reanalysis (Forced by sea surface temperature, surface pressure, and sea ice only)
  • 29. North Atlantic Major Hurricanes Downscaled from NOAA 20th Century Reanalysis (Forced by sea surface temperature, surface pressure, and sea ice only)
  • 30. Storm Surge Simulation (Ning Lin) SLOSH mesh ~ 103 m ADCIRC mesh ~ 102 m Battery ADCIRC model (Luettich et al. 1992) SLOSH model (Jelesnianski et al. 1992) ADCIRC mesh ~ 10 m (Colle et al. 2008)
  • 31. Surge Return Periods for The Battery, New York Sandy
  • 33. Risk Assessment for Houston and Texas: Run 100 events for each year from 1980 to 2016 (3700 events total) passing within 300 km of Houston, downscaled from three climate reanalyses Run 100 events each year from 1979-2015 passing over the Texas coastline, downscaled from NCAR/NCEP reanalyses. Calculate storm total rainfall for each event at each of 78 points constituting a grid extending from 26o N to 31o N and from 99o W to 94o W, at increments of 0.5o, but excluding points over the Gulf Run 100 events each year during two periods: 1981-2000 and 2081-2100, passing within 300 km of Houston, downscaled from six climate models
  • 34. Example of Accumulated Rainfall from a Harvey-like Event Downscaled from ERA Interim Reanalysis
  • 35. Probability of Storm Accumulated Rainfall at Houston, from 3 Climate Reanalyses, 1980-2016 Based on 3700 Events Each. Shading shows spread among the reanalyses. Harvey
  • 36. Probability of a Accumulated Hurricane Rain Anywhere in Texas, based on 3700 Events Downscaled from NCAR/NCEP Reanalysis with Rainfall Analyzed at 78 Points
  • 37. Probability of Storm Accumulated Rainfall at Houston, from 6 Climate models, 1981-2000 and 2081-2100, Based on 2000 Events Each. Shading shows spread among the models. Harvey
  • 39. Run 100 events each year during two periods: 1981-2000 and 2081-2100, passing within 300 km of Barbuda, downscaled from six climate models Irma
  • 40. Probabilities of Storms of Irma’s Intensity within 300 km of Barbuda, from 6 Climate models, 1981-2000 and 2081-2100, Based on 2000 Events Each. Shading shows spread among the models.
  • 42. Run 100 events each year during two periods: 1981-2000 and 2081-2100, passing within 150 km of 17oN, 64oW, downscaled from four climate models Maria
  • 43.
  • 44. North Carolina Hurricanes Over its history, North Carolina has experienced over 400 tropical cyclones that passed over or near the state NC ranks 4th among all states in number of hurricanes Collectively, hurricanes have killed more than 1,000 residents and caused more than $11 billion (2008) in losses
  • 45.
  • 46. SS Central America Loss of 424 people, 30,000 lbs gold
  • 47. Longest lived Atlantic hurricane on record (August 3 – September 4) Maybe strongest hurricane to affect North Carolina (120 MPH, though instruments destroyed) All of Cape Hatteras submerged All piers and bridges destroyed
  • 48.
  • 49. Hurricane Hazel, 1954 18 ft storm surge + 115 knot (130 MPH) winds, probably strongest on record NWS, Raleigh: “All traces of civilization on the immediate waterfront between the state line and Cape Fear were practically annihilated” “Every pier in a distance of 170 miles of coastline was demolished". Still a Cat 1 hurricane at Toronto, doing much damage there
  • 51.
  • 53. The Future of North Carolina Hurricanes
  • 54.
  • 55. The 100-year event in 2086: 140 knots at NC landfall
  • 56.
  • 57. Summary The observational record of hurricanes is too short and noisy, and of a quality too low to make robust inferences of climate signals Satellite data do show a migration of peak intensity toward higher latitudes and some indication of a greater fraction of intense storms Recovery of hurricane proxies from the geological record is beginning to show some climate signals
  • 58. Summary (continued) Potential intensity theory demonstrates that the thermodynamic limit on hurricane intensity rises with temperature Observations show that this limit is indeed increasing Physics can be used to model hurricane risk in current and future climates
  • 59. Summary (continued) Rain of Harvey’s magnitude in Texas was a ~ 1% annual probability event in 1990 and is projected to increase to 18% by 2090. A linear increase in frequency yields a 6% probability in 2017. Irma’s peak winds of 185 MPH within 300 km of Barbuda are estimated to have had an annual probability of 0.13% in 1990, increasing to 1.3% in 2090 North Carolina’s hurricane wind and flood risks are projected to increase substantially over this century
  • 61. Flood inundation signal. Courtesy Chris Ruf
  • 62. Variation of Potential Intensity with Ocean Heat Flux, Surface Wind Speed, CO2, and Solar Forcing Emanuel, K., and A. Sobel, 2013: Response of tropical sea surface temperature, precipitation, and tropical cyclone-related variables to changes in global and local forcing. J. Adv. Model. Earth Sys., 5, doi:10.1002/jame.20032
  • 63. Tracks of North Atlantic hurricanes that reaches at least Category 4 intensity in the climate of the late 20th century (top) and late 21st century (bottom). These storms were simulated by a high resolution regional model driven by the global climate state representing an average of 18 global climate models. The regional model was developed at NOAA’s Geophysical Fluid Dynamics Laboratory in Princeton, NJ. From Bender and co-authors, Science, 2010.
  • 64. Inferences from Spanish Shipwrecks Trouet at al., PNAS. 2016
  • 66. Woods Hole research assistants Dana McDonald, Skye Moret, Sam Zipper and Phil Lane on a makeshift catamaran used in paleotempestology research. (Photo by Jim Morrison)
  • 67. The YOK-GTC reconstruction compared to documentary records of hurricane landfall in the Caribbean and North Atlantic Basins. Frequency distributions (relative %) of hurricanes affecting (a) the entire North Atlantic Basin and locations along the western margin of the North Atlantic (b) Bermuda, (c) Florida, (d) Puerto Rico, and (e) Jamaica, calculated from previously published documentary data. From Baldini et al., Nature Scientific Reports, 2016, DOI: 10.1038/srep37522 Belize data based on stable isotope analysis of stalagmites at Yoks Balum cave in southern Belize
  • 68. Cumulative Frequency of Storm Lifetime Maximum Intensity Normalized by Potential Intensity
  • 69. Time-dependent, axisymmetric model phrased in R space Hydrostatic and gradient balance above PBL Moist adiabatic lapse rates on M surfaces above PBL Boundary layer quasi-equilibrium convection Deformation-based radial diffusion Coupled to simple 1-D ocean model Environmental wind shear effects parameterized 2 sin( )M rV r   2 sin( )R M 
  • 71. RMS Intensity Error, 2009-2015 North Atlantic
  • 72. How Can We Use This Model to Help Assess Hurricane Risk in Current and Future Climates?
  • 73. Hurricane Floyd 10 ft storm surge, numerous tornadoes, extreme freshwater flooding 35 fatalities, $4 billion (1999 dollars) damage 7,000 homes destroyed, 17,000 uninhabitable, 56,000 damaged 500,000 households lost electricity Some streams experienced 500 year floods NC Secretary of Health and Human Services: “Nothing since the Civil War has been as destructive to families here”.