IN31A:
Big Data Analysis and Challenges for Earth and Space Sciences I Posters

Submit an Abstract to this Session



Session ID#: 34940

Session Description:
Big Data poses great challenges for Earth and Space sciences.  It demands for scale computational and infrastructures, support new methods for deriving scientific inferences, and shift towards integrated analytic. NASA’s EOSDIS system manages over 15PB of data while the Solar Dynamics Observatory (SDO) has been generating 2TB of data daily since 2010. The new SWOT mission will generate over 23PB of data in just 3 years. Meanwhile models supporting and employing Earth or planetary observations can produce petascale datasets per run. Many community-driven efforts have emerged, including the NIST Big Data, USGEO DMWG, and NOAA’s Big Data Project, etc. The NASA’s Big Data Task Force has recently completed a series of studies and recommendations for the agency. The traditional methods for science can’t scale to the overwhelming volume of data. The shift toward integrated analytics transforms the existing architectures. Topics include but are not limited to studies, techniques, and applications.
Primary Convener:  Thomas Huang, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
Conveners:  Neal E Hurlburt, Lockheed Martin Solar and Astrophysics Laboratory, Palo Alto, CA, United States, Tiffany C Vance, U.S. Integrated Ocean Observing System, Seattle, WA, United States and Brian D Wilson, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
Chairs:  Neal E Hurlburt, Lockheed Martin Solar and Astrophysics Laboratory, Palo Alto, CA, United States, Tiffany C Vance, U.S. Integrated Ocean Observing System, Seattle, WA, United States, Thomas Huang, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States and Brian D Wilson, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
OSPA Liaison:  Tiffany C Vance, U.S. Integrated Ocean Observing System, Seattle, WA, United States

Cross-Listed:
  • A - Atmospheric Sciences
  • P - Planetary Sciences
  • SH - SPA-Solar and Heliospheric Physics
  • SM - SPA-Magnetospheric Physics
Index Terms:

1916 Data and information discovery [INFORMATICS]
1920 Emerging informatics technologies [INFORMATICS]
1932 High-performance computing [INFORMATICS]
1998 Workflow [INFORMATICS]

Abstracts Submitted to this Session:

Automatic Multi-sensor Data Quality Checking and Event Detection for Environmental Sensing (222611)
Qi LIU1, Yawen Zhang1, Yingying Zhao2, Duanfeng Gao1, David W Gallaher3, Qin Lv1 and Li Shang1, (1)University of Colorado Boulder, Boulder, CO, United States, (2)Tongji University, Shanghai, China, (3)National Snow and Ice Data Center, Boulder, CO, United States
Ocean Carbon States: Data Mining in Observations and Numerical Simulations Results (225490)
Rebecca Latto1,2 and Anastasia Romanou1,3, (1)NASA Goddard Institute for Space Studies, New York, NY, United States, (2)Columbia University of New York, Department of Applied Physics and Applied Mathematics, New York, NY, United States, (3)Columbia University, Department of Applied Physics and Applied Mathematics, New York, United States
Statistical Metadata Analysis of the Variability of Latency, Device Transfer Time, and Coordinate Position from Smartphone-Recorded Infrasound Data (226361)
Eva Lea Garces, Kealakehe High School, Kailua Kona, HI, United States, Milton A Garces, Infrasound Laboratory, Kailua Kona, HI, United States and Anthony Christe, University of Hawaii at Manoa, Information and Computer Sciences, Honolulu, HI, United States
A Big Data Task Force Review of Advances in Data Access and Discovery Within the Science Disciplines of the NASA Science Mission Directorate (SMD) (241202)
Reta F Beebe, New Mexico State University Main Campus, Las Cruces, NM, United States and Raymond J Walker, University of California Los Angeles, Department of Earth, Planetary, and Space Sciences, Los Angeles, CA, United States
A Highly Scalable Data Service (HSDS) using Cloud-based Storage Technologies for Earth Science Data (244299)
Andrew Michaelis1, John Readey2, Petr Votava3, Jordon Henderson2 and Frank Willmore2, (1)NASA Ames Research Center, Moffett Field, CA, United States, (2)HDF Group, Champaign, IL, United States, (3)California State University Monterey Bay, Seaside, CA, United States
Data Flow for the TERRA-REF project (252765)
Rob Kooper1, Max Burnette1, John Maloney2 and David LeBauer3, (1)University of Illinois at Urbana Champaign, National Center for Supercomputing Applications, Urbana, United States, (2)University of Illinois at Urbana Champaign, NCSA, Urbana, IL, United States, (3)Energy Biosciences Institute, Urbana, IL, United States
The Case for Adopting Server-side Analytics (256136)
Charles P Holmes, NASA Headquarters, Washington, DC, United States, Eric Feigelson, Pennsylvania State University Main Campus, University Park, PA, United States, Neal E Hurlburt, Lockheed Martin Solar and Astrophysics Laboratory, Palo Alto, CA, United States and Clayton Tino, Virtustream, Atlanta, GA, United States
Real-time Position Based Population Data Analysis and Visualization Using Heatmap for Hazard Emergency Response (265151)
Rui Ding, Shanghai Earthquake Agency, Earthquake Observation Center, Shanghai, China and Ting He, Guangdong Earthquake Agency, Emergency and Information Center, Guangzhou, China
Modernizing Earth and Space Science Modeling Workflows in the Big Data Era (273015)
Eric Feigelson, Pennsylvania State University Main Campus, University Park, PA, United States, Raymond J Walker, University of California Los Angeles, Department of Earth, Planetary, and Space Sciences, Los Angeles, CA, United States, James L Kinter, Center for Ocean-Land-Atmosphere Studies, Climate Dynamics, Fairfax, United States and Clayton Tino, Virtustream, Atlanta, GA, United States
Use of Schema on Read in Earth Science Data Archives (288956)
Mahabal Hegde, NASA GES DISC, Greenbelt, United States, Christine Smit, NASA Goddard Space Flight Center, Goddard Earth Sciences Data and Information Services Center, Greenbelt, MD, United States, Paul Pilone, Element84, Alexandria, VA, United States, Maksym Petrenko, ADNET Systems Inc. Greenbelt, Greenbelt, MD, United States and Long Pham, NASA Goddard Space Flight Center, GES DISC, Greenbelt, United States
Efficient Method for Scalable Registration of Remote Sensing Images (290979)
Roy Prouty, University of Maryland Baltimore County, Baltimore, MD, United States, Jacqueline LeMoigne, NASA, Earth Science Technology Office, Greenbelt, MD, United States and Milton Halem, University of Maryland Baltimore County, Computer Science, Baltimore, MD, United States
NASA FDL: Accelerating Artificial Intelligence Applications in the Space Sciences. (294963)
Maria Navas-Moreno, Self Employed, Washington, DC, United States, James Parr, NASA Frontier Development Lab, Mountain View, United States, Eric Lee Dahlstrom, International Space University, Strasbourg, France and Sara Beth Jennings, NASA Frontier Development Lab, Mountain View, CA, United States

See more of: Earth and Space Science Informatics