A (Atmospheric and Hydrospheric Sciences ) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment
[A-AS14] Extreme Events: Observations and Modeling
The frequencies and intensities of extreme events such as heavy rainfall, flash floods, droughts, heat waves, tropical cyclones etc. have increased in many regions across the globe and are of serious concern due to their socio-economic and climate change connections. Thus, understanding of the patterns of such events and particularly their characteristics have been the focus of many recent studies. This session invites abstracts on observational and numerical modeling studies to enhance the understanding of the spatial and temporal characteristics and predictability of the extreme events. In particular, abstracts are encouraged on regional analysis of the extreme events in past years and in near or far future (30-100 years), which would assist the policy makers to build potentially more resilient societies to face the extreme event related disasters. This session also welcomes the submissions on model simulations and evaluations to advance the understanding of the physics and dynamics associated with the extreme events.
*Ashley Elizabeth Payne1, Christine Shields2, Jonathan Rutz3, L. Ruby Leung4, Travis O'Brien5, F. Martin Ralph6, Michael Wehner7 (1.Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI, USA, 2.Climate and Global Dynamics Division, National Center for Atmospheric Research, Boulder, CO, USA, 3.Science and Technology Infusion Division, National Weather Service Western Region Headquarters, National Oceanic and Atmospheric Administration, Salt Lake City, UT, USA, 4.Earth Systems Analysis and Modeling, Pacific Northwest National Laboratory, Richland, WA, USA, 5.Earth and Atmospheric Sciences, Indiana University, Bloomington, Indiana, USA, 6.Center for Western Weather and Water Extremes, Scripps Institution of Oceanography at the University of California, San Diego, CA, USA, 7.Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA)
*Srikanth Madala1, Tan Li1, Santo V. Salinas 1, Jun Wang2,3 (1.Centre for Remote Imaging Sensing and Processing, National University of Singapore, Singapore, 2.Center for Global and Regional Environmental Research, University of Iowa, Iowa City, Iowa, USA , 3.Department of Chemical and Biochemical Engineering, University of Iowa, Iowa City, Iowa, USA)