Hurricanes Working Group Report Suzana J. Camargo Lamont-Doherty Earth Observatory Columbia...
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![Page 1: Hurricanes Working Group Report Suzana J. Camargo Lamont-Doherty Earth Observatory Columbia University Palisades, NY With contributions from all members.](https://reader030.fdocuments.in/reader030/viewer/2022032802/56649e0a5503460f94af2261/html5/thumbnails/1.jpg)
Hurricanes Working Group Report
Suzana J. CamargoLamont-Doherty Earth Observatory
Columbia UniversityPalisades, NY
With contributions from all members of the Hurricanes WG
U.S. CLIVAR 2011 Summit18-21 July 2011Woods Hole, MA
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US CLIVAR Hurricanes Working Group
Formed in January 2011 Co-leaders:
Suzana Camargo, LDEO, Columbia University Gabriel Vecchi, NOAA GFDL Kevin Walsh, Melbourne University, Australia
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Members of CLIVAR working group:
James Elsner, Florida State University
Kerry Emanuel, MIT James Kossin, NOAA
NCDC Christopher Landsea,
NOAA AOML Siegfried Schubert,
NASA GSFC
Adam Sobel, Columbia University
Gabriele Villarini, Princeton University
Hui Wang, NOAA NCEP
Ming Zhao, NOAA GFDL
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Additional Contributing Members
Lennart Bengtsson, U. Reading, UK
In-Sik Kang, Seoul National University, Korea
K. Oouchi, JAMSTEC, Japan
Enrico Scoccimarro, INGV-CMCC, Italy
Julio Bacmeister, NCAR
Ping Chang and R. Saravanan, Texas A&M
Malcolm Roberts, UK Met Office, and Pier Luigi Vidale, U. Reading, UK
Christiane Jablonowski U. Michigan and Michael Wehner, Lawrence Berkeley National Lab.
Monika Esch, MPI, Germany
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Terms of reference:
Define common experiments for model simulations by participating model groups Supply common data sets and tropical cyclone metrics for those experiments Coordinate the evaluation and reporting of common experiments and the storage of model output Organize a series of workshops to present and discuss the results
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Hurricane WG - Background:
Preliminary attempts of multi-model intercomparison:
– TCMIP (K. Walsh)
– Discussions: Camargo, Walsh, Schubert, Sobel, Emanuel, ...
High-resolution global climate models: improved performance simulating tropical cyclone variability (GFDL, FSU, NCEP, Met Office) in interannual and decadal time-scales
Vecchi proposed US CLIVAR led the idea of US CLIVAR WG.
Significant improvement in an agreeement among models of changes in tropical cyclone activity under climate change:
Intensity: higher occurrence of most intense TCs (globally)
Frequency: smaller global number of TCs (in many models)
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Dynamical Models Exhibit Skill in Seasonal Basin-wide Hurricane Frequency
Statistical-dynamical hybrid model
18-km regional model
100km SST-forced AGCM
50km SST-forced AGCMFigure adapted from Knutson et al (2010, Nat. Geosci.)
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Problems:
CC projections: regional estimates - models diverge
Reasons for differences among models' projections are unclear:
Different forcing for future scenarios Different sensitivity to forcing Different definitions for TCs
TC data – data quality problems, especially out of the Atlantic.
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Principal Issues Lack of climate-relevant theory of genesis/basin-wide frequency
Uncertainty in past (and future) large-scale changes (e.g., SST, upper tropospheric/tropopause layer temperature)
Sensitivity studies with AGCMs not coordinated
Historical cyclone database corrections adjustments need assessment, continued effort and extension needed (more, different paleo-proxies)
Climate predictions/projections beyond frequency (landfall, extremes)
Statistical models/downscaling techniques need to be compared and evaluated for skill/relevance to various applications (e.g., prediction, projection, proxy)
Coupled model biases in tropical Atlantic
Contribution: G. Vecchi
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Scientific Objectives I
An improved understanding of interannual variability, and trends, in tropical cyclone activity from the beggining of the 20th century to the present.
TC response to common increase in SST Sensitivity to differences in SST What is the potential predictability of TCs? Statistics
of TCs constrained by SST x stochasticity of the model response
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Model Response Exhibits Sensitivity To Forcing Used
Tropical Storm Frequency Response to Same AGCM but different estimates of observed SST
Contribution: G. Vecchi & M. Zhao
AGCM is 100km version of Zhao et al (2009, J. Clim.)
ObsAGCM
ObsAGCM
HadISST forced NOAA-OI.v2 forced
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Scientific Objectives II
Quantifying changes in the characteristics of tropical cyclones under a warming climate.
Uniform warming x specific anomalies CO2 x SST warming Relationship between local versus remote forcing
in hurricane formation in the Atlantic - tropical mean increase in SST and increase in Atlantic SST only.
Remote x local response to SST in other regions of the world.
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Vecchi, Swanson and Soden (2008, Science)
Observed ActivityAbsolute SSTModel Abs. SST
High-resolutionmodel activity change
Relative SSTModel Rel. SST
Emanuel et al (08),Knutson et al (08)Oouchi et al (06),Bengtsson et al (07)
Contribution: G. Vecchi
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Idealized Forcing Experiments
If local SST the dominant control, as opposed to relative SST:
• Similar Atlantic Response to Atlantic and Uniform Forcing
• Little Pacific Response to Atlantic compared to Uniform
Contribution: G. Vecchi
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North Atlantic Response to Idealized SST
Atlantic ForcingUniform ForcingNear-equatorial Forcing
Similar TS frequency response to:0.25° local warming4° global cooling
Contribution: G. Vecchi
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Participating ModelsModel Resolution Institution
CAM5.2 0.25 deg NCAR, USA
CAM5.1 0.25 deg U. Michigan & LBNL, USA
CSIRO 60km U. Melbourne, Atlantic
ECHAM5 T159 L31 CMCC INGV, Italy
ECHAM6 T127 L95 MPI, Germany
FSU/COAPS T126 L27 FSU, USA
GEOS5 1/2 degree L72 NASA, USA
HADGEM3 60km, L85 U. Reading Met Office, UK
HIRAM2.1 50 km L32 GFDL, USA
NASA GISS 1 degree L40 NASA GISS, USA
NCEP GFS T126 L64 NCEP, USA
NICAM 14km L40 JAMSTEC, Japan
SNU/KAU-AGCM 35km, L20 SNU, South Korea
WRF, domain: Atlantic 27km Texas A&M U., USA
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Std CAM5 #1 Std CAM5 #2
Std CAM5 #3 IBTraCS
Storms with U>33 ms-1: June 1 to Dec 1 2005
Contribution J. Bacmeister
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Time spent at Categories by tropical cyclones (hours)All basins
Northern hemisphere TC season June – Dec
Cat1 Cat2 Cat3 Cat4 Cat5TSTD
3 CAM5 runs 2005
CAM4 2004, 2005
IBTrACS 2004, 2005
CAM5 no deep conv 2005
CAM5 w/ param condensate loading
Hours
Defect in tracking algorithm
Contribution J. Bacmeister
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Tropical Cyclones as simulated by CMCC-INGV fully coupled climate models:INGV-SXG (atm: echam4, T106) and CMCC_MED (atm: echam5, T159)
- Changes in Tropical Cyclone Activity due to Global Warming: Results from a High-Resolution CGCM. Gualdi et al. 2008 - J. of Climate, Vol. 21, pp. 5204-5228
- Effects of Tropical Cyclones on Ocean Heat Transport in a High Resolution CGCM. Scoccimarro et al. 2011 - J. of Climate, in press. Doi: 10.1175/2011JCLI4104.1
OBS INGV-SXG (T106)
CMCC_MED (T159)
TCs/y 93.8 66.2 80.2
STD 10.9 9.2 7.5
Annual TCs number and variability
Hurricane detection in CMCC_MED: 10m wind speed > 33 m/s
1000 Km
CMCC_MED TCs annual number and Power Dissipation Index (PDI)
6hourly 10 meter wind speed [m/s]Yearly accumulated PDI [m3/s2]
TCs Annual Number series
Contribution E. Scoccimarro
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2005 Atlantic storm track at N512: 5 members initialised on 1 May
Contribution: M. Roberts & P.L. Vidale
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TAMU-CRCM DomainSimulated TC tracks
(9km)(9km)
• Simulated TCs are too weak (no Cat-4 & 5 storms)• Number of TCs tends to be too high• Simulated tracks tend to shift to the north
Contribution: P. Chang & R. Saravanan
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Uncoupled WRF simulations without SST cooling effect over-estimate TC’s intensity and size.
Coupled
Uncoupled
Difference
Coupled
Uncoupled
Contribution: P. Chang & R. Saravanan
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NICAM 3.5 km mesh 2008/06/20 12UTC
TC Fengshen
5 days after theInitial condition
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TC Fengshen simulation
11-20 June
Onset of Western Pacific Monsoon & Weak MJO equatorial westerly
Horizontal grid spacing: 14 km, 3.5 km
Vertical domain: 0 m ~ 38,000 m (40-levels)
Integration:
10 days from 00UTC 15 Jun 2008
Initial conditions:
ECMWF YOTC Operational data
NCEP final analysis (land surface, SST)
Boundary conditions:
slab ocean (nudging to Reynolds weekly SST)
--- Fengshen formed on 17 Jun 2008
PALAU2008 Field Experiment
Contribution: K. Oouchi
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Tier 1 experiments:
1. Interannual – 20 years (1981-1990) forced with observed SST.
2.Climatology – Climatological SST
3.Global 2K : Climo SST+ Global 2K
4.Double CO2: Climo SST + Double CO2
5.Global 2K & Double CO2: Climo SST+ Global 2K + Double CO2
6. Global Warming: Climo SST + Specified SST anomalies
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Tier 2 experiments:
Atlantic 1K: Climo SST + 1K Atlantic
Pacific 1K: Climo SST + 1K Pacific
Slab Ocean
High Resoluton snapshots
Varying horizontal resolutions
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Diagnostics:
Common tracking techniques: 2 – 3 for comparison Dependency of thresholds
Large-scale diagnostics: Enviromental variables: vertical shear, humidity,
vorticity, precipitation. Genesis Indices Potential intensity ENSO, AMM, AMO, MJO: modulation of TCs in
models Statistical-dynamical techniques (Emanuel) Statistical analysis/modeling
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Where are we now?
Bi-monthly teleconferences Webpage in progress Modelling groups running tier 1
experiments (a few are finished). Final negotiation stages for NCDC to
archive and host data. ASAP: Model data available for the
WG. Next telecon: discussion of
diagnostics. 1st workshop: January 2012 (after
annual AMS meeting) Unforseen issue: some groups not
sticking to protocol.