A13R:
Tropical Cyclones: Observations, Modeling, and Predictability III

Monday, 15 December 2014: 1:40 PM-3:40 PM
Chairs:  Patrick Harr, Naval Postgraduate School, Pacific Grove, CA, United States and Zhuo Wang, University of Illinois, Urbana, IL, United States
Primary Conveners:  Zhuo Wang, University of Illinois, Urbana, IL, United States
Co-conveners:  Scott A Braun, NASA/GSFC, Greenbelt, MD, United States, Patrick Harr, Naval Postgraduate School, Pacific Grove, CA, United States and Fuqing Zhang, Penn State University, University Park, PA, United States
OSPA Liaisons:  Zhuo Wang, University of Illinois, Urbana, IL, United States

Abstracts Submitted to this Session:

1:40 PM
A13R-01
 
Multi-Scale Aspects of Tropical Cyclone Predictability
James D Doyle, Jon Moskaitis, Peter G Black, Eric A Hendricks, Alex Reinecke and Clark M Amerault, NRL, Monterey, CA, United States
1:55 PM
A13R-02
 
Coupled Air-Sea Observations and Modeling for Better Understanding Tropical Cyclone Prediction and Predictability
Shuyi S Chen, University of Miami, Miami, FL, United States
2:10 PM
A13R-03
 
Characteristics and environmental properties of the intensification and evolution of Typhoon Haiyan (2013)
Tetsuya Takemi, Disaster Prevention Research Institute, Kyoto University, Kyoto, Japan
2:25 PM
A13R-04
 
A complete tropical cyclone radial wind structure model and comprehensive comparison with observations
Daniel Robert Chavas1, Kerry Emanuel2 and Ning Lin1, (1)Princeton University, Princeton, NJ, United States, (2)Massachusetts Institute of Technology, Cambridge, MA, United States
2:40 PM
A13R-05
 
Tangent-linear and ensemble-based four-dimensional data assimilation strategies applied for assimilating conventional data and field observations for Hurricane Karl (2010)
Jonathan Poterjoy, Pennsylvania State University Main Campus, University Park, PA, United States and Fuqing Zhang, Penn State University, University Park, PA, United States
2:55 PM
A13R-06
 
Improving Tropical Cyclone Track and Intensity in a Global Model with Local Mesh Refinement
Colin M. Zarzycki1,2 and Christiane Jablonowski2, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)University of Michigan, Ann Arbor, MI, United States
3:10 PM
A13R-07
 
Predicting Distribution and Inter-Annual Variability of Tropical Cyclone Intensity from a Stochastic, Multiple-Linear Regression Model
Chia-Ying Lee1, Michael K Tippett2, Adam H Sobel2 and Suzana J Camargo3, (1)Columbia University, International Research Institute for Climate and Society, Palisades, NY, United States, (2)Columbia University, Department of Applied Physics and Applied Mathematics, New York, NY, United States, (3)Lamont-Doherty Earth Observat., Palisades, NY, United States
3:25 PM
A13R-08
 
Impacts of assimilating various remotely sensed atmospheric parameters on WRF’s tropical cyclone prediction skill 
Mervyn J Lynch1, Diandong Ren2, John Le Marshall3, Lance M Leslie4, Frank Yu1 and Guoping Zhang1, (1)Curtin University, Perth, WA, Australia, (2)Curtin University of Technolog, Perth, WA, Australia, (3)Bureau of Meteorology, Melbourne, Australia, (4)University of Oklahoma, Norman, OK, United States
 
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