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Activity Details

280 * ! Tue, 8/1/2017, 8:30 AM - 10:20 AM CC-341
Climate Statistics: Studies on the Physics and Impacts of Climate Change Using Data Science — Topic Contributed Papers
Section on Physical and Engineering Sciences , Section on Statistics and the Environment , International Statistical Institute
Organizer(s): Ansu Chatterjee, University of Minnesota
Chair(s): Megan Heyman, Rose-Hulman Institute of Technology
8:35 AM Predicting the Next Decade Timothy DelSole
8:55 AM Uncertainty Quantification for Remote Sensing Data Amy Braverman, Jet Propulsion Laboratory ; Jonathan Hobbs, Jet Propulsion Laboratory
9:15 AM The Scale Enhanced Wild Bootstrap Method for Evaluating Climate Models Using Wavelets Ansu Chatterjee, University of Minnesota ; Amy Braverman, Jet Propulsion Laboratory ; Megan Heyman, Rose-Hulman Institute of Technology ; Noel Cressie, University of Wollongong
9:35 AM Modeling Weather-Induced Home Insurance Risks with Support Vector Machine Regression Vyacheslav Lyubchich, University of Maryland Center for Environmental Science ; Yulia R. Gel, University of Texas at Dallas ; Asim Kumer Dey, University of Texas at Dallas
9:55 AM Uncertainty Quantification for High-Resolution Hydrology Applications in the Western United States Jonathan Hobbs, Jet Propulsion Laboratory ; Michael Turmon, Jet Propulsion Lab/Caltech ; J T Reager, Jet Propulsion Lab/Caltech ; Cedric David, Jet Propulsion Lab/Caltech ; James Famiglietti, Jet Propulsion Lab/Caltech
10:15 AM Floor Discussion
 
 
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