NH51F
Spacetime Statistics and Data Mining for Natural Hazards and Weather Extremes Posters
Friday, 18 December 2015: 08:00-12:20
Poster Hall (Moscone South)
Primary Conveners: Evan Kodra, Northeastern University, Civil and Environmental Engineering, Boston, MA, United States
Conveners: Auroop R Ganguly, Northeastern University, Civil and Environmental Engineering, Boston, MA, United States and Susan Tolwinski-Ward, AIR Worldwide, Boston, MA, United States
Chairs: Evan Kodra, Northeastern University, Quincy, MA, United States and Auroop R Ganguly, Northeastern University, Civil and Environmental Engineering, Boston, MA, United States
OSPA Liaisons: Susan Tolwinski-Ward, AIR Worldwide, Boston, MA, United States
The atmospheric influence on climatological tropical cyclone frequency and intensity (Invited) (63034)
Sarah Strazzo, United States Military Academy, Geography and Environmental Engineering, West Point, NY, United States, Thomas Jagger, Florida State University, Denver, CO, United States and James Elsner, Florida State University, Tallahassee, FL, United States
Classifying Intensity and Area of Extreme Rainfall Events in Greater New York Area Using Weather Radar Data (70519)
Ali Hamidi, CUNY City College, New York, NY, United States, Naresh Devineni, CUNY-NOAA CREST, New York, NY, United States, James F Booth, CUNY City College of New York, New York, NY, United States, Ralph R Ferraro, Univ Maryland-ESSIC/CICS and NOAA/NESDIS, College Park, MD, United States and Reza Khanbilvardi, CUNY-Civil Engineering T-107, New York, NY, United States
Deep Learning for Climate Pattern Detection (77172)
Mr Prabhat1, Yunjie Liu2, Joaquin Correa2, Evan Racah2, Sang-Yun Oh2, Amir Khosrowshahi3, David Anthony Lavers4, Michael F Wehner2 and William Collins2, (1)University of California Berkeley, Earth and Planetary Sciences, Berkeley, CA, United States, (2)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (3)Nervana Systems, San Diego, CA, United States, (4)Scripps Institution of Oceanography, La Jolla, CA, United States
Machine Learning for Flood Prediction in Google Earth Engine (80267)
Catherine Kuhn1, Beth Tellman2, Simeon A Max1 and Bessie Schwarz3, (1)Yale University, New Haven, CT, United States, (2)Arizona State University, Tempe, AZ, United States, (3)Yale Project on Climate Change Communication, New Haven, CT, United States
