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

Session ID#: 5236

Monday, 15 December 2014: 1:40 PM-3:40 PM
3008 (Moscone West)
Chairs:  Patrick Harr, Naval Postgraduate School, Pacific Grove, United States and Zhuo Wang, University of Illinois, Urbana, United States
Primary Convener:  Zhuo Wang, University of Illinois, Urbana, United States
Co-conveners:  Scott A Braun, NASA/GSFC, Greenbelt, United States, Patrick Harr, Naval Postgraduate School, Pacific Grove, United States and Fuqing Zhang, Penn State University, University Park, PA, United States
OSPA Liaison:  Zhuo Wang, University of Illinois, Urbana, United States
Co-Sponsor(s):
  • AMS - American Meteorological Society
  • NH - Natural Hazards
  • OS - Ocean Sciences
Index Terms:

3315 Data assimilation [ATMOSPHERIC PROCESSES]
3360 Remote sensing [ATMOSPHERIC PROCESSES]
3372 Tropical cyclones [ATMOSPHERIC PROCESSES]
4313 Extreme events [NATURAL HAZARDS]
Virtual Option?: No

Abstracts Submitted to this Session:

A13R-01
Multi-Scale Aspects of Tropical Cyclone Predictability (Invited) (4075)
James D Doyle1, Jon Moskaitis2, Peter G Black2, Eric A Hendricks2, Patrick Alexander Reinecke3 and Clark M Amerault2, (1)U.S. Naval Research Laboratory, Monterey, United States, (2)NRL, Monterey, CA, United States, (3)Naval Research Laboratory, Marine Meteorology Division, Monterey, CA, United States
A13R-02
Coupled Air-Sea Observations and Modeling for Better Understanding Tropical Cyclone Prediction and Predictability (26857)
Shuyi S Chen, University of Washington, Atmospheric and Climate Science, Seattle, United States
A13R-03
Characteristics and environmental properties of the intensification and evolution of Typhoon Haiyan (2013) (18585)
Tetsuya Takemi, Disaster Prevention Research Institute, Kyoto University, Kyoto, Japan
A13R-04
A complete tropical cyclone radial wind structure model and comprehensive comparison with observations (13279)
Daniel Robert Chavas, Purdue University, Department of Earth, Atmospheric, and Planetary Sciences, West Lafayette, IN, United States, Kerry Emanuel, Massachusetts Institute of Technology, Lorenz Center, Cambridge, MA, United States and Ning Lin, Princeton University, Department of Civil and Environmental Engineering, Princeton, NJ, United States
A13R-05
Tangent-linear and ensemble-based four-dimensional data assimilation strategies applied for assimilating conventional data and field observations for Hurricane Karl (2010) (23912)
Jonathan Poterjoy, Pennsylvania State University Main Campus, University Park, PA, United States and Fuqing Zhang, Penn State University, University Park, PA, United States
A13R-06
Improving Tropical Cyclone Track and Intensity in a Global Model with Local Mesh Refinement (29438)
Colin M Zarzycki, National Center for Atmospheric Research, Climate & Global Dynamics Laboratory, Boulder, CO, United States; University of Michigan, Ann Arbor, MI, United States and Christiane Jablonowski, University of Michigan, Department of Climate and Space Sciences and Engineering, Ann Arbor, United States
A13R-07
Predicting Distribution and Inter-Annual Variability of Tropical Cyclone Intensity from a Stochastic, Multiple-Linear Regression Model (11452)
Chia-Ying Lee1, Michael K Tippett2, Adam H Sobel2 and Suzana J Camargo3, (1)International Research Institute for Climate and Society, Columbia University, Palisades, NY, United States, (2)Columbia University, Department of Applied Physics and Applied Mathematics, New York, NY, United States, (3)Columbia University, Palisades, United States
A13R-08
Impacts of assimilating various remotely sensed atmospheric parameters on WRF’s tropical cyclone prediction skill  (12037)
Mervyn J Lynch1, Diandong Ren2, John Le Marshall3, Lance M Leslie4, Frank Yu1 and Guoping Zhang1, (1)Curtin University, Perth, WA, Australia, (2)Hohai University, School of Oceanography, Nanjing, China, (3)Bureau of Meteorology, Melbourne, Australia, (4)University of Oklahoma, Norman, OK, United States
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