the enso-tc teleconnection in higem
DESCRIPTION
The ENSO-TC teleconnection in HiGEM. Ray Bell Supervisors: Prof. P.L. Vidale, Dr. Kevin Hodges and Dr. Jane Strachan. Outline. My PhD Introduction Methodology HiGEM and TRACK Tropical cyclone biases ENSO-Tropical cyclone Mean state biases - PowerPoint PPT PresentationTRANSCRIPT
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The ENSO-TC teleconnection in HiGEM
Ray BellSupervisors: Prof. P.L. Vidale, Dr. Kevin Hodges and Dr. Jane Strachan
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Outline- My PhD- Introduction- Methodology HiGEM and TRACK- Tropical cyclone biases- ENSO-Tropical cyclone- Mean state biases- ENSO-large scale environmental parameters- Final work chapter: GCM experiments
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My PhD
Research questions:- How does ENSO influence global TC activity?- What is the response of TCs to climate change?- What are the implications of a changing El Niño
on future tropical cyclone activity?
Sep 2013
Jan 2013
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Previous work: ENSO-TCASO
JFM
NCEP re-an (‘50-’05)GPI. Camargo (2007)
Gray; Klotzbach; Landsea Chan; Liu Gray; Camargo
Singh; Chian
Kuleshov; Vitart
Nicholls; Ramsay
El Nino La Nina
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Shaman and Maloney (2011) Shortcomings in climate model simulations of the ENSO-Atlantic hurricane teleconnection. J. ClimCMIP3 models. Large-scale fields. No tracks. ‘VWS and PI are most poorly simulated’
- Simulation of ENSO- Simulation of TC mean state - Simulation of ENSO teleconnections
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Idealised GCM simulationHiGEMUK’s High-Resolution Global Environmental Model (Shaffrey et al, 2009)
HiGAM: AMIP (atmospheric model forced with observed SST and sea ice) 1979-2002 (Strachan et al, 2011)
1.25ox0.83o, ∆x50N = 90 km
1/3o ocean model HiGEM 1.1 CTRL 150 yrs
HiGEM CTRL ~5x30 yrs
N144
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1) Locate and track all centres of high relative vorticity 35000/yr
2) Apply a 2-day filter to the tracks 8000 storms / yr
3) Analyse vertical structure of storm for evidence of warm-core (tropical storm structure) 120 storms / yr
Tracking algorithm (TRACK; Bengstton et al, 2007)
A 20 year time-slice of GCM simulated tropical storms
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HiGEM: ENSO simulationShaffrey (2009)
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ENSO composites
IBTrACS (1979-2010)ERA-Interim (1979-2010)NINO-3.4 DJF SSTa > 1oC or < -1oCNH TC season prior to event; SH TC season during eventEl Nino years: 82-83, 86-87, 91-92, 94-95, 97-98, 02-03, 09-10La Nina years: 84-85, 88-89, 98-99, 99-00, 07-08, 10-11
HiGEM: 31 El Ninos, 25 La NinasHiGAM AMIP (79-02): 6 El Ninos, 4 La Ninas
(7)
(6)
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HiGEM: TC mean state
Lack ofrecurvature
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HiGEM: SST mean state
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HiGEM: ENSO-SST
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HiGEM: ppt mean state
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HiGEM: ppt mean state
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HiGEM: ENSO-ppt
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HiGEM: Walker Circulation mean state
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HiGEM: ENSO-WC
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HiGEM: VWS mean state
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HiGEM: VWS mean state
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HiGEM: ENSO-VWS
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HiGEM: 200 hPa Stream function and velocity potential mean state
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Conclusions
• ENSO-SST biases in HiGEM are likely the largest limitation. Dawson et al (2012) found an increase in oceanic resolution over atmospheric resolution improved ENSO-extratropical teleconnections • Atmospheric resolution is also important to capture the
interannual variability (therefore response to ENSO; Strachan et al, 2012)
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Idealised El Niño experiments
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HiGEM: ENSO simulationShaffrey (2009)
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HiGEM: ENSO-SST
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HiGEM: ENSO-ppt
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HiGEM: ENSO-WC
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