25 October 2006MPI for Meteorology Hamburg Hurricane type vortices in ECHAM5. How will they change...

25 October 2006 MPI for MeteorologyHamburg

Hurricane type vortices in ECHAM5. How will they change in

a warmer climate?

Lennart Bengtsson

with

Kevin Hodges, ESSC

Monika Esch and co-workers at MPI


Tropical cyclones in a future climatewhat could be expected?

• Higher SST and higher atmospheric moisture would generally favor more intense storms ( e.g. Emanuel 1988, 1999)

• This is supported by modeling results by Knutson and Tuleya (2004) driving an limited area model with CMIP2+ boundary data ( 9 different models).

• Increasing vertical wind-shear and reduced relative humidity would counteract this tendency. Such influences occur in the tropical N. Atlantic during El Nino.

• How will the number of storms change? What are the general conditions controlling the number of tropical storms?

• What are the critical conditions in modeling tropical storms? Are results from large scale models with limited resolution credible?


After Emanuel


Modeling approach

• Simulation of tropical cyclones per se in a global GCM

• Using limited area models at high resolution

• Identifying climate predictors in a GCM

(SST, vorticity, static stability, relative humidity, vertical wind-shear)


Simulation of tropical cyclones per se in a global GCM

• Disadvantage: Difficulties to resolve the intense features of a tropical storm

• Examples of studies:

Bengtsson et al. 1995, 1996, Tellus

Sugi et al. 2002, JMS, Japan

McDonald et al. 2005, Clim.Dyn.

Chauvin et al. 2006, Clim Dyn.

Oouchi et al. 2006, JMS, Japan

Yoshimori et al. 2006, JMS, Japan


Simulation of hurricane type vortices with a GCM

• Typical criteria:

• An identifiable vortex

• A minimum in the surface pressure

• Surface wind speed above a given value

• A warm core vortex ( reduced circulation with height)


Effect of 2xCO2 From Bengtsson et al., 1996 (Tellus) ( number of cyclones /basin)


Using limited area models at high resolution

• Disadvantages:

Generation of storms, Large scale influences difficult to handle

• Examples of studies:

Knutson et al. 1998, Science Knutson and Tuleya, 1999, Clim. Dyn. Knutson and Tuleya, 2004, J Clim.


Impact of CO2-induced warming on simulated hurricane intensityKnutson and Tuleya (2004, J of Climate)

• They used a high resolution limited area model driven by the SST and moisture of 9 CGCM from the CMIP 2+ project.

• CMIP2 uses 1%yr-1 increase over an 80-year period implying an increase by a factor of 2.2.

• Model calculations are undertaken in NW Pacific-, NE Pacific- and Atlantic basin• Four different convective schemes are tested (no significant differences)

• RESULTS:

• Max. surface wind speed increases by 6%• Min. central pressure by 14%• Max. precipitation by 24%• Hurricane increase by a factor of 1/2 in the Simpson-Saffir scale


Intensification of hurricanes at 2xCO2

Knutson and Tuleya (2004)


Identifying climate predictors in a GCM

• Disadvantage:

Lack of proper understanding, ad hoc selection of predictors, overestimation of the effect of SST

• Examples of studies

Gray, 1979 Met. over the Tropical oceans, RMetSoc

Royer et al. 1998, Clim. Change

Chauvin et al. 2006, Clim. Dyn.


Objectives of the present studyHurricane type vortices (HTV) in ECHAM5

.

How do the HTVs respond to anthropogenic climate change and how does this depend on resolution?

What changes occur in intensity, life time and power dissipation index?

What possible mechanisms control the change in HTV? What are the dominant factors?


Tracking methods and vortex identification

• Tracks are followed from its generation (6x10-6s-1) until it disappears as an extra-tropical cyclones north of 60N

• We calculate the total life-time of the HTVs

• We are able to identify the transition from a tropical to an extra-tropical vortex

• Alternatively we use the wind speed at 925 hPa as a selection criteria for intense storms

• We have also calculated the potential dissipation index, PDI. See Emanuel, Nature, 2005


Hurricane Katrina August 2005ECMWF operational analyses, 850 hPa vorticity


Katrina vorticity at different levels


Katrina850 hPa vorticity at different resolution


KatrinaWind speed max. and surface pressure

min.


Selection of HTV indicators

• We use criteria for minimum vorticity at 850 hPa (V), minimum vertical vorticity gradient (G) between 850 and 250 hPa, and number of time steps of 6 hrs (T) when these conditions are fulfilled.

• (V, G, T) = (6, 6, 4) vorticity at 850 hPa = 6x10-5s-1

vorticity 850- 250 hPa = 6x10-5s-1 conditions fulfilled at least 24 hrs

(6, 6, 4) is defined as an HTV


Selection of criteria for selecting hurricane type vortices (HTV)

All Tropical Storms

Hurricanes, Typhoons, Cyclones

>33ms-1

(6, 6, 4)

(10, 6, 4)

(12, 6, 4)

2003 75 33 71 48 39

2004 72 36 79 52 41

2005 80 38 83 62 48


Objectives of the present studyHurricane type vortices (HTV) in ECHAM5

• We have used scenario A1B and studied the periods 1861-1890, 1961-1990 and 2071-2100

• We have explored the coupled T63 run (3 runs) for all periods and

• T213 time - slice 1961-1990 and 2071-2100• T319 time - slice 1971-1990, (2081-2100 to be done)

• We have also used AMIP2 runs (20 years) with T63 and T159 as a validation study


Comparison with observations from the Tropical Warning Centers

and with ERA-40 re-analyses


Super Typhoon 21 (1991) in ERA-40 (left)and selected similar storm in ECHAM5 (right)

Intensity (vorticity at 850 hPa)


Lifetime of HTVs in days


Hurricane genesis (a) observed, (b) ERA-40 and (c ) ECHAM5 T159


Hurricane track density(a) observed, (b) ERA-40 and (c ) ECHAM5 T159


Hurricane track density (Atlantic)(d) observed, (e) ERA-40 and (f ) ECHAM5 T159


Hurricane type vortices (21 years)ECHAM, ERA-40, JRA 25 and Observed

>18ms-1 >33ms-1 >50ms-1

ECHAM5 T159 2017 731 72

ERA40 1447 297 1

JRA25 1234 323 2

Observed 1236 724 346

All (6, 6, 4) >2x10-4 >5x10-4 >1x10-3

ECHAM5 T159 2073 1848 599 24

ERA40 1747 1557 40 0

JRA25 1306 933 7 0


ECHAM 5 max. wind speed in different regions


ERA-40 max. wind speed in different regions


“Observed” max. wind speed in different regions


Annual variability of HTVsObserved, ERA-40 and ECHAM5- T159


Interannual variability of HTVs > 33ms-1

Observed, ERA-40 and ECHAM5- T159


Active Atlantic years - non active years (left)Active West-Pacific years - less active (right)

From above: SST, 850 hPa Vel. Pot., wind shear 250-850 pPa


Courtesy

J. O’Brien


The same ERA-40 responseActive Atlantic (left), Active West Pacific (right)


Are there observational evidence that hurricanes are becoming more intense?

Why is it so difficult?

• Longer term records are needed due to internal variability

• There have been large changes in the observing systems making it easier to detect more tropical cyclones in later years.

• Recent papers have used PDI ( time integral of max. wind cube) which is overly sensitive to observational accuracy

• Model studies (e.g. Knutson and Tuleya, 2004) indicate small changes in intensity as of now which are hardly detectable


Are there observational evidence that hurricanes are becoming more intense?

• YES

• Webster et al. (2005), Science, Emanuel (2005), Nature, Sriver and Huber (2006), GRL

• NO

• Chan (2006), Science, Klotzbach ( 2006), GRL, Landsea et al. (2006), Science


There are recent claims that there is an increase in hurricane intensity ( e.g. Emanuel (2005), Webster et al. (2005)

• Are these findings credible?

• They are generally not supported by operational meteorologists

• According to Knutson and Tuleya (2004) any changes are probably undetectable “for decades to come”

• Results from this study and some additional work may presumably reduce the likelihood of detection further

• There are structural problems in the detection of trends

• Changes in observing systems

• Difficulties to separate a genuine change in storms from societal causes behind the huge increase in damages and damage cost


What may happen in a warmer climate?

We have used the AIB scenario

And the coupled MPI model at T63 resolution used in the IPCC 4th assessment

Higher resolution experiments use the transient SST from T63 (time - window)

We study C20 (1961- 1990)

C21 ( 2071-2100)


What is A1B?

• Middle of the line scenario

• Carbon emission peaking in the 2050s (16 Gt/year)

• CO2 reaching 450 ppm. in 2030

• CO2 reaching 700 ppm. in 2100

• SO2 peaking in 2020 then coming done to 20% thereof in 2100


SST difference (C 21-C 20)


HTVs at T63 resolution C19 (black), C20 (red) and C21(blue)


Number of HTVs (T63) for C 20 and C21 for wind speed and vorticity

T63 >18ms-1 >33ms-1 >50ms-1

20C (1961-1990) 34 6.1 0.1

21C (2071-2100) 26 6.4 0.1

T63 All (6, 6, 4) >2x10-4 s-1 >5x10-4 s-1 >1x10-3 s-1

20C (1961-1990) 35 5.5 0 0

21C (2071-2100) 27 5.6 0 0


Hurricane genesis T63From top C21-C20, C21 and C20


Hurricane track density T63From top C21-C20, C21 and C20


Changes of HTVs in four hurricane regions (T63)


Number of HTVs/year (T213) for C 20 and C21 for wind speed and vorticity

T213 All (6, 6, 4) >2x10-4 s-1 >5x10-4 s-1 >1x10-3 s-1

20C (1961-1990) 104 97 40 6.0

21C (2071-2100) 94 90 49 9.8

T213 >18ms-1 >33ms-1 >50ms-1

20C (1961-1990) 100 33 3.7

21C (2071-2100) 92 36 4.9


Hurricane genesis T213 From top C21-C20, C21 and C20


Hurricane track density, T213From top C21-C20, C21 and C20


Changes of HTVs in four hurricane regions (T213)


Change in HTV lifetime (T213)


Change in min. surface pressure (T213)


Accumulated precipitation ( in mm and for an area with a radius of 5 degrees) along the track of the HTV for C20

and C21(T213)HTVs reaching >33ms-1

C21

C20

Total increase 30%


Climate change and the water cycle

• Atmosphere appears to conserve relative humidity. This means that atmospheric water vapor follows Clausius- Clapeyron relation. (Soden and Held, 2006, J. Clim.)

• We see an increase of 27% in atmospheric water vapor at C21 compared to C20

• Precipitation must be balanced by evaporation. Evaporation is driven by the surface energy balance which increases slower than atmospheric water vapor. In fact it can even diminish at a high aerosol concentration (ECHAM4).

• Precipitation increases by 6% both globally and in the tropics

• This means that the residence time of water in the atmosphere increases from 8.7 to 10.3 days or by 16%.


Result from present study:Reduced number of hurricanes

• There is s reduction in the number of tropical cyclones in agreement with most previous studies.

• We suggest this is due to a weakening of the tropical circulation. This can best be seen as a slowing down of the hydrological cycle by some 16%

• The radiative cooling of the tropics increases due to more water vapor in the upper troposphere and dynamical cooling due to increased static stability. This processes can compensate warming from release of latent heat (6%) with a less active tropical circulation.


Result from present study:More intense hurricanes

• Given favorable atmospheric condition we suggest the ideas put forward by Emanuel and Holland comparing a hurricane with a Carnot cycle can be applied.

• This will provide an energy input broadly proportional to the specific humidity at a higher temperature (following SST)

• The intensification of the tropical cyclones depends on sufficient model resolution to accurately describe the convergence of momentum which generate the very high wind speeds at the core of the vortex.

• For HTVs reaching 33ms-1 PDI (power dissipation index) increase by 16%


What is the effect of even higher resolution?


HTVs at C20 at four different resolutionsNumber/year as a function of vorticity


END

25 October 2006MPI for Meteorology Hamburg Hurricane type vortices in ECHAM5. How will they change...

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