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

Session ID#: 3292

Tuesday, 16 December 2014: 8:00 AM-12:20 PM
Poster Hall (Moscone_South)
Chairs:  Jitendra Kumar, Oak Ridge National Laboratory, Oak Ridge, TN, United States and Robert L Jacob, Argonne National Laboratory, Argonne, IL, United States
Primary Convener:  Jitendra Kumar, Oak Ridge National Laboratory, Oak Ridge, TN, United States
Co-conveners:  Robert L Jacob, Argonne National Laboratory, Argonne, IL, United States, Dr. Forrest M Hoffman, PhD, Oak Ridge National Laboratory, Computational Sciences & Engineering Division, Oak Ridge, United States and Miguel Mahecha, Max Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, Jena, Germany
OSPA Liaison:  Dr. Forrest M Hoffman, PhD, Oak Ridge National Laboratory, Oak Ridge, TN, United States; Oak Ridge National Laboratory, Computational Sciences & Engineering Division, Oak Ridge, United States
Co-Sponsor(s):
  • A - Atmospheric Sciences
  • B - Biogeosciences
  • DI - Study of the Earth's Deep Interior
  • GC - Global Environmental Change
  • H - Hydrology
Index Terms:

1906 Computational models, algorithms [INFORMATICS]
1914 Data mining [INFORMATICS]
1932 High-performance computing [INFORMATICS]
1986 Statistical methods: Inferential [INFORMATICS]
Virtual Option?: No
Swirl Theme: Computational Methods across Scales: Personal to High Performance Platforms

Abstracts Submitted to this Session:

 
IN21A-3688
Department of Energy’s Virtual Lab Infrastructure for Integrated Earth System Science Data (Invited) (17433)
Dean Norman Williams1, Giri Prakash2, Galen Shipman3, Tom Boden3 and Jimmy Voyles4, (1)Lawrence Livermore National Laboratory, Livermore, CA, United States, (2)Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, United States, (3)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (4)Pacific Northwest Natl Lab, Richland, WA, United States
 
IN21A-3689
Statistical Downscaling of Last Glacial Maximum and mid-Holocene climate simululations over the Continental United States (17844)
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
 
IN21A-3690
Light-Weight Parallel Python Tools for Climate Model Workflows (26462)
Sheri A Mickelson1, Kevin Paul2, John Dennis2 and Gary Strand2, (1)National Center for Atmospheric Research, Boulder, United States, (2)National Center for Atmospheric Research, Boulder, CO, United States
 
IN21A-3691
The Seismic Inverse Problem – active and now passive data for FWI. (31176)
Ralph Philip Bording, University of Alabama in Huntsville, Huntsville, AL, United States and Changsoo Shin, Seoul National University, Seoul, Korea, Republic of (South)
 
IN21A-3693
What would a data scientist do with 10 seconds on a supercomputer? (Invited) (3387)
Douglas W Nychka, National Center for Atmospheric Research, Boulder, CO, United States
 
IN21A-3694
An ENSO-oriented mining algorithm for marine abnormal association patterns (3398)
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
 
IN21A-3695
Real-Time Joint Streaming Data Processing from Social and Physical Sensors (8753)
Yelena Yevgenyevna Kropivnitskaya1, Jinhui Qin1, Kristy French Tiampo2 and Michael Bauer1, (1)University of Western Ontario, London, ON, Canada, (2)University of Colorado at Boulder, CIRES, Department of Geological Sciences, Boulder, United States
 
IN21A-3697
Spatial Pattern of Great Lakes Estuary Processes from Water Quality Sensing and Geostatistical Methods (10086)
Wenzhao Xu1, Barbara E Minsker1, Barbara Ann 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
 
IN21A-3698
A Semi-Automated Machine Learning Algorithm for Tree Cover Delineation from 1-m Naip Imagery Using a High Performance Computing Architecture (11137)
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
 
IN21A-3699
World Climate Classification and Search: Data Mining Approach Utilizing Dynamic Time Warping Similarity Function (11562)
Pawel Netzel1,2, Tomasz F. Stepinski2 and Jaroslaw Jasiewicz3, (1)Organization Not Listed, Washington, DC, United States, (2)University of Cincinnati Main Campus, Space Informatics Lab - SIL, Cincinnati, OH, United States, (3)Adam Mickiewicz University, Geoecology and Geoinformation Institute, Poznań, Poland
 
IN21A-3700
Big Data Solution for CTBT Monitoring Using Global Cross Correlation (12136)
Pierre Gaillard1, Dmitry Bobrov2, Aurelien Dupont1, Agnès Grenouille1, Ivan O Kitov2 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
 
IN21A-3701
Developing Daily Quantitative Damage Estimates From Geospatial Layers To Support Post Event Recovery (15974)
Bryan K Woods1, Lisa Hsin Wei1 and Thomas Cameron Connor2, (1)Atmospheric and Environmental Research, Lexington, MA, United States, (2)Verisk Climate, Lexington, MA, United States
See more of: Earth and Space Science Informatics