IN21A:
Big Data in the Geosciences: New Analytics Methods and Parallel Algorithm Posters

Tuesday, 16 December 2014: 8:00 AM-12:20 PM
Chairs:  Jitendra Kumar, Oak Ridge National Laboratory, Oak Ridge, TN, United States and Robert L Jacob, Argonne National Laboratory, Argonne, IL, United States
Primary Conveners:  Jitendra Kumar, Oak Ridge National Laboratory, Oak Ridge, TN, United States
Co-conveners:  Robert L Jacob, Argonne National Laboratory, Argonne, IL, United States, Forrest M Hoffman, University of California Irvine, Department of Earth System Science, Irvine, CA, United States and Miguel D Mahecha, Max Planck Inst. for Biogeochemistry, jena, Germany
OSPA Liaisons:  Forrest M Hoffman, Oak Ridge National Laboratory, Oak Ridge, TN, United States; University of California Irvine, Department of Earth System Science, Irvine, CA, United States

Abstracts Submitted to this Session:

 
Department of Energy’s Virtual Lab Infrastructure for Integrated Earth System Science Data
Dean Norman Williams1, Giriprakash Palanisamy2, Galen Shipman2, Tom Boden2 and Jimmy Voyles3, (1)Lawrence Livermore National Laboratory, Livermore, CA, United States, (2)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (3)Pacific Northwest Natl Lab, Richland, WA, United States
 
Statistical Downscaling of Last Glacial Maximum and mid-Holocene climate simululations over the Continental United States
Yugarshi Mondal1, John C H Chiang2 and Michelle Koo1, (1)University of California Berkeley, Berkeley, CA, United States, (2)Univ California, Berkeley, CA, United States
 
Light-Weight Parallel Python Tools for Climate Model Workflows
Sheri A Mickelson, Kevin Paul, John Dennis and Gary Strand, National Center for Atmospheric Research, Boulder, CO, United States
 
The Seismic Inverse Problem – active and now passive data for FWI.
Ralph P Bording, University of Alabama in Huntsville, Huntsville, AL, United States and Changsoo Shin, Seoul National University, Seoul, South Korea
 
Heavy Analysis and Light Virtualization of Water Use Data with Python
Hyungtae Kim, Center for Hydrologic Modeling, Irvine, CA, United States, Neeta Bijoor, University of California Irvine, Irvine, CA, United States and James S Famiglietti, Univ California Irvine, Irvine, CA, United States
 
What would a data scientist do with 10 seconds on a supercomputer?
Douglas W Nychka, National Center for Atmospheric Research, Boulder, CO, United States
 
An ENSO-oriented mining algorithm for marine abnormal association patterns
Cunjin Xue and Qing DONG, RADI Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Key Laboratory of Digital Earth Science, Chinese Academy of Sciences, Beijing, China
 
Real-Time Joint Streaming Data Processing from Social and Physical Sensors
Yelena Yevgenyevna Kropivnitskaya, Jinhui Qin, Kristy French Tiampo and Michael Bauer, University of Western Ontario, London, ON, Canada
 
Myria: Scalable Analytics as a Service
Bill Howe, Daniel Halperin and Andrew Whitaker, University of Washington Seattle Campus, Seattle, WA, United States
 
Spatial Pattern of Great Lakes Estuary Processes from Water Quality Sensing and Geostatistical Methods
Wenzhao Xu1, Barbara S Minsker1, Barbara Bailey2 and Paris Collingsworth3, (1)University of Illinois at Urbana Champaign, Civil and Environmental Engineering, Urbana, IL, United States, (2)San Diego State University, Department of Mathematics and Statistics, San Diego, CA, United States, (3)Environmental Protection Agency Chicago, Chicago, IL, United States
 
A Semi-Automated Machine Learning Algorithm for Tree Cover Delineation from 1-m Naip Imagery Using a High Performance Computing Architecture
Saikat Basu1, Sangram Ganguly2, Ramakrishna R Nemani2, Supratik Mukhopadhyay1, Cristina Milesi3, Petr Votava4, Andrew Michaelis5, Gong Zhang2, Bruce D Cook6, Sassan S Saatchi7 and Edward Boyda8, (1)Louisiana State University, Computer Science, Baton Rouge, LA, United States, (2)NASA Ames Research Center, Moffett Field, CA, United States, (3)NASA-CSUMB, Sunnyvale, CA, United States, (4)California State University Monterey Bay, Seaside, CA, United States, (5)University Corporation at Monterey Bay, Seaside, CA, United States, (6)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (7)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (8)Bay Area Enviromental Research, Sonoma, CA, United States
 
World Climate Classification and Search: Data Mining Approach Utilizing Dynamic Time Warping Similarity Function
Pawel Netzel1,2, Tomasz F. Stepinski1 and Jaroslaw Jasiewicz3, (1)University of Cincinnati Main Campus, Space Informatics Lab - SIL, Cincinnati, OH, United States, (2)Organization Not Listed, Washington, DC, United States, (3)Adam Mickiewicz University, Geoecology and Geoinformation Institute, Poznań, Poland
 
Big Data Solution for CTBT Monitoring Using Global Cross Correlation
Pierre Gaillard1, Dmitry Bobrov2, Aurelien Dupont1, Agnès Grenouille1, Ivan O Kitov3 and Mikhail Rozhkov2, (1)CEA Commissariat à l'Energie Atomique DAM, Arpajon Cedex, France, (2)CTBTO Preparatory Commission for the Comprehensive Nuclear Test-Ban Organization, Vienna, Austria, (3)Institute of Geosphere Dynamics RAS, Moscow, Russia
 
Developing Daily Quantitative Damage Estimates From Geospatial Layers To Support Post Event Recovery
Bryan K Woods1, Lisa H Wei1 and Thomas Cameron Connor2, (1)Atmospheric and Environmental Research, Lexington, MA, United States, (2)Verisk Climate, Lexington, MA, United States