IN11C:
Application of Information and Data Science Methods and Technologies to Climate Research and Energy–Water Knowledge Discovery Posters


Submit an Abstract to this Session


Session ID#: 58681

Session Description:
The ability to analyze and derive scientific inferences through vast collections of multi-sensor measurements can be daunting, given multiple archives, varied and complex data formats, inconsistent nomenclature, and sheer archive volume. Recent advancements in Cloud Computing, High Performance Computing, and affordable teraflop-scale GPU technology, along with machine learning and the ability to collocate data analysis capabilities next to the sensor in the age of the Internet of Things, it is now possible for researchers and decision makers to access, analyze, and derive inferences across collections of multivariate measurements. The necessary technology exists to enable research to discover and conduct in-depth investigations into interactivity between energy and water, climatological events resulting in drought, sea level rise, and extreme weather phenomena and their relationship with population growth and human activities, etc. This session welcomes contributions in applied information and data science methods and technologies to facilitate scientific research, discovery, and decision support.
Primary Convener:  Thomas Huang, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
Conveners:  Melissa R Allen Dumas, Oak Ridge National Laboratory, Oak Ridge, United States, Michael M Little, NASA, Earth Science Technology Office, Greenbelt, MD, United States and Varun Chandola, University at Buffalo, Buffalo, NY, United States
Primary Liaison:  Melissa R Allen Dumas, Oak Ridge National Laboratory, Oak Ridge, United States
Chairs:  Thomas Huang, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States and Melissa R Allen Dumas, Oak Ridge National Laboratory, Oak Ridge, United States
OSPA Liaison:  Varun Chandola, University at Buffalo, Buffalo, NY, United States
Index Terms:

1910 Data assimilation, integration and fusion [INFORMATICS]
1916 Data and information discovery [INFORMATICS]
1926 Geospatial [INFORMATICS]
1942 Machine learning [INFORMATICS]

Abstracts Submitted to this Session:

Cassini Project’s Strategy to Organizing Science Data Now and in the Future (395900)
Barbara Ann Streiffert1, Andrea M Connell2, Robert K Tapella3, Shawn M Brooks1, Reta F Beebe4 and Kathryn R Weld5, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Jet Propulsion Laboratory, 397G, Pasadena, CA, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)New Mexico State University, Las Cruces, NM, United States, (5)Jet Propulsion Laboratory, 4500, Pasadena, CA, United States
Energy-Water Nexus Knowledge Discovery Framework: An integrated platform for integration, analysis, and synthesis of spatiotemporal data (Invited) (419268)
Budhendra L Bhaduri, Oak Ridge National Laboratory, Oak Ridge, TN, United States
A science-driven system for multi-variate analyses and interactive visualization: uncovering signals for hurricane rapid intensification and motivating machine-learning discoveries (434846)
Svetla M Hristova-Veleva1, Ziad S Haddad1, Saiprasanth Bhalachandran2, Peggy Li1, Brian Knosp3, Quoc A Vu3 and Tsae-Pyng J Shen4, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)Stanford University, Earth System Science, Palo Alto, CA, United States, (3)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)Jet Propulsion Laboratory, Pasadena, CA, United States
Documenting the Legacy of Cassini's Instrument Teams in NASA's Planetary Data System (452527)
Shawn M Brooks1, Barbara Ann Streiffert1, Andrea M Connell2, Robert K Tapella3, Reta F Beebe4, Kathryn R Weld5 and Shawn A Boll6, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Jet Propulsion Laboratory, 397G, Pasadena, CA, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)New Mexico State University, Las Cruces, NM, United States, (5)Jet Propulsion Laboratory, 4500, Pasadena, CA, United States, (6)Jet Propulsion Laboratory/Caltech, Pasadena, United States
Network analysis of virtual water in the global fossil fuel trade from 2000-2016 (457514)
Sonya Ahamed1, Joshua Sperling2, Gillian L Galford3, Jennie C Stephens4, Donna M Rizzo5, Joshua Minot6 and Katherine Aho6, (1)University of Vermont, Burlington, VT, United States, (2)National Renewable Energy Laboratory Golden, Golden, United States, (3)University of Vermont, Rubenstein School of Environment and Natural Resources, Burlington, VT, United States, (4)Northeastern University, Boston, MA, United States, (5)University of Vermont, Department of Civil and Environmental Engineering, Burlington, United States, (6)University of Vermont, Burlington, United States
Detection and Interactive Exploration of Telemetry Anomalies (463832)
Christopher Laporte1 and Valentino Constantinou1,2, (1)JPL/NASA/Caltech, Pasadena, CA, United States, (2)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States

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