Predicting Hurricanes and Hurricane Risk

61
Hurricane Physics Kerry Emanuel Massachusetts Institute of Technology

Transcript of Predicting Hurricanes and Hurricane Risk

Page 1: Predicting Hurricanes and Hurricane Risk

Hurricane Physics

Kerry Emanuel

Massachusetts Institute of

Technology

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Program

• Overview of hurricanes

• Physics of mature, steady hurricanes

• The genesis problem

• Hurricanes and the thermohaline

circulation

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1. Overview: What is a Hurricane?

Formal definition: A tropical cyclonewith 1-min average winds at 10 m altitude in excess of 32 m/s (64 knots or 74 MPH) occurring over the North Atlantic or eastern North Pacific

A tropical cyclone is a nearly symmetric, warm-core cyclone powered by wind-induced enthalpy fluxes from the sea surface

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Tracks of all tropical cyclones, 1985-2005

Source: Wikipedia

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Hurricane Structure

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The View from Space

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Hurricane Structure: Wind Speed

Azimuthal component of wind

< 11 5 ms-1 - > 60 ms-1

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Updraft Speed

Vertical Air Motion

Strong upward motion in the eyewall

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Physics of Mature Hurricanes

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Energy Production

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Carnot Theorem: Maximum efficiency results from

a particular energy cycle:

• Isothermal expansion

• Adiabatic expansion

• Isothermal compression

• Adiabatic compression

Note: Last leg is not adiabatic in hurricane: Air cools radiatively. But since

environmental temperature profile is moist adiabatic, the amount of

radiative cooling is the same as if air were saturated and descending moist

adiabatically.

Maximum rate of working:

s o

s

T TW Q

T

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Total rate of heat input to hurricane:

0 * 3

00

2 | | | |r

k DQ C k k C rdr V V

Surface enthalpy fluxDissipative

heating

In steady state, Work is used to balance frictional dissipation:

0 3

02 | |

r

DW C rdr V

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Plug into Carnot equation:

0 03 *

00 0

| | | |r r

s oD k

o

T TC rdr C k k rdr

T

V V

If integrals dominated by values of integrands near

radius of maximum winds,

2 *| |max 0

C T Tk s oV k k

C TD o

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Theoretical Upper Bound on

Hurricane Maximum Wind Speed:

*2| |0

C T Tk s oV k kpot TC

oD

Air-sea enthalpy

disequilibrium

Surface

temperature

Outflow

temperature

Ratio of

exchange

coefficients of

enthalpy and

momentum

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Numerical simulations

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Thermodynamic disequilibrium necessary to

maintain ocean heat balance:

Ocean mixed layer Energy Balance (neglecting

lateral heat transport):

*

0| |k entrainC k k F F F

sV

2

| |

entrains opot

o D s

F F FT TV

T C

V

Greenhouse effect

Mean surface wind speed

Weak explicit

dependence on Ts

Ocean mixed layer

entrainment

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Relationship between potential

intensity (PI) and intensity of

real tropical cyclones

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Why do real storms seldom reach

their thermodynamic potential?

One Reason: Ocean Interaction

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Ocean Interaction

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Mixed layer depth and

currents

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SST Change

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Comparing Fixed to Interactive SST:

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A good simulation of Camille can only be obtained by assuming that

it traveled right up the axis of the Loop Current:

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2. Sea Spray

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3. Wind Shear

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Dependence on Sea Surface

Temperature (SST):

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What controls global tropical

cyclone frequency?

• In today’s climate, tropical cyclones must

be triggered by independent disturbances

• Tropical cyclone models also require finite

amplitude perturbations to initiate

hurricanes

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Numerical Simulations

Axisymmetric, nonhydrostatic, cloud-resolving model of Rotunno and Emanuel (J. Atmos. Sci., 1987); see Emanuel and Rotunno, Tellus, 1989. 3.75 km horizontal resolution; 300 m in vertical

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Classical initialization with warm-core vortex

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Same behavior in poor man’s model:

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Saturate troposphere inside 100 km in initial state:

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Integrations of a 3-D

cloud system-resolving

model in radiative-

convective equilibrium

with fixed SST, by

David Nolan

SST = 30 oC

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SST = 35 oC

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Second Approach to

Frequency Issue:

Develop an empirical index based on monthly re-analysis data

Test index against geographic, seasonal and interannual variability

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Empirical Index:

5

33 23

210 1 0.1 ,50 70

VpotI V

shear

1)850 ( ,hPa absolute vorticity s

1( ),V Potential wind speed mspot

600 (%),mbrelativehumidity

1( ).850 250

V msshear

V V

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Seasonal Variability:

2 4 6 8 10 120

100

200

300

400

500

Month

Nu

mb

er

of

Ev

en

ts

Northern Hemisphere

Actual Predicted

2 4 6 8 10 120

50

100

150

200

250

300

Month

Nu

mb

er

of

Ev

en

ts

Southern Hemisphere

Actual Predicted

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Spatial Variability:

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Ocean Feedback

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Ocean Thermohaline Circulation

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Heat Transport by Oceans and Atmosphere

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A hot plate is brought in contact with the left half of the surface of a

swimming pool of cold water. Heat diffuses downward and the warm water

begins to rise. The strength of the circulation is controlled in part by the rate

of heat diffusion. In the real world, this rate is very, very small.

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Adding a stirring rod to this picture greatly enhances the circulation by

mixing the warm water to greater depth and bringing more cold water in

contact with the plate. The strength of the lateral heat flux is proportional to

the 2/3 power of the power put into the stirring, and the 2/3 power of the

temperature of the plate.

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Coupled Ocean-Atmosphere model run for67 of the 83 tropical cyclones that occurredin calendar year 1996

Accumulated TC-induced ocean heatingdivided by 366 days

Result:

Net column-integrated heating of oceaninduced by global tropical cyclone activity:

151.4 0.7 10 W

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Transient experiment by Rob Korty

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Summary

• Hurricanes are almost perfect Carnot heat engines, operating off the thermodynamic disequilibrium between the tropical ocean and atmosphere, made possible by the greenhouse effect

• Most hurricanes are prevented from reaching their potential intensity by storm-induced ocean cooling and environmental wind shear

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• Hurricanes result from a finite-amplitude

instability of the tropical ocean-

atmosphere system

• Hurricane-induced mixing of the upper

ocean may be the main driver of the

ocean’s deep overturning circulation, an

important component of the climate

system