A43L:
Tropical Cyclones: Observations, Modeling, and Predictability I


Session ID#: 10973

Session Description:
Tropical cyclones are one of the most destructive weather systems on Earth and have significant social and economic impacts. In this session, we solicit abstracts on observational analysis and numerical modeling studies that help to advance our understanding of the physics, dynamics, and predictability of tropical cyclones. In particular, abstracts are encouraged on tropical cyclone formation, structure, intensity change and extratropical transition.
Primary Convener:  Zhuo Wang, University of Illinois at Urbana Champaign, Urbana, United States
Conveners:  Scott A Braun, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Patrick Harr, National Science Foundation, Arlington, VA, United States and Melinda Peng, Naval Research Lab, Monterey, CA, United States
Chairs:  Zhuo Wang, University of Illinois at Urbana Champaign, Urbana, United States, Eric A Hendricks, Naval Postgraduate School, Meteorology, Monterey, CA, United States and Melinda Peng, Naval Research Lab, Monterey, CA, United States
OSPA Liaison:  Zhuo Wang, University of Illinois at Urbana Champaign, Urbana, United States
Co-Sponsor(s):
  • AMS: American Meteorological Society -
Index Terms:

3315 Data assimilation [ATMOSPHERIC PROCESSES]
3360 Remote sensing [ATMOSPHERIC PROCESSES]
3372 Tropical cyclones [ATMOSPHERIC PROCESSES]
4313 Extreme events [NATURAL HAZARDS]

Abstracts Submitted to this Session:

The Importance of Shallow and Moderate Precipitation in the Upshear Quadrants to Tropical Cyclone Rapid Intensification as Derived from 14 Years of TRMM Data (Invited) (59644)
Haiyan Jiang, Florida International Univ., Miami, FL, United States
The Diurnal Cycle of Precipitation in Tropical Cyclones (60929)
Kenneth Paul Bowman, Texas A&M University, Atmospheric Sciences, College Station, United States and Megan D. Fowler, Texas A&M Univ, College Station, TX, United States
Objective Detection of Tropical Cyclone Formation from Remotely-sensed Ocean Surface Wind Using Machine Learning Approaches (85740)
Myung-Sook Park1,2, Minsang Kim1, Myong-In Lee3 and Jungho Im1, (1)Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of (South), (2)KIOST Korea Institute of Ocean Science and Technology, Busan, South Korea, (3)Ulsan National Institute of Science and Technology, Urban and Environmental Engineering, Ulsan, Korea, Republic of (South)
Measuring Stress in Tropical Cyclones (65437)
W. Timothy Liu and Wenqing Tang, Jet Propulsion Laboratory, Pasadena, CA, United States
On the Relationship between African Easterly Wave Structures and the Probability of Tropical Cyclogenesis in the Tropical Atlantic (65821)
Chris D Thorncroft and Alan Brammer, University at Albany, Department of Atmospheric and Environmental Sciences, Albany, NY, United States
Predictability of Sheared Tropical Cyclones (Invited) (59555)
Fuqing Zhang and Dandan Tao, Penn State University, University Park, PA, United States
Practical Predictability of Tropical Cyclone Intensity (69609)
Chanh Q. Kieu, Indiana University, Department of Earth and Atmospheric Sciences, Bloomington, IN, United States and Zachary Moon, Indiana University, Department of Geological Sciences, Bloomington, United States
Development of an Adaptable Display and Diagnostic System for the Evaluation of Tropical Cyclone Forecasts (84097)
Paul A Kucera1, Tatiana Burek1 and John Halley-Gotway2, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)National Center for Atmospheric Research, Developmental Testbed Center, Boulder, CO, United States

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