SH34A:
Organizing and Understanding Solar and Heliospheric Data for Discovery II

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Session ID#: 15780

Session Description:
The Sun influences the Earth through a complex set of interactions across interplanetary space. The behavior of this system is measured by many different instruments that produce many varied data. In the near future, the Daniel K. Inouye Solar Telescope will produce data at rates exceeding the Solar Dynamics Observatory, and Solar Probe Plus and Solar Orbiter will bring entirely new perspectives on the Sun-Earth system. These disparate data are essentially different views of the same Sun-Earth system. Maximizing the scientific output from these variegated data is the key to progress, and the subject of this session. We solicit contributions covering the following topics: - automated solar feature recognition and tracking - cloud computing in support of solar big data analysis - data/knowledge visualization and discovery - efficient spatio-temporal data querying - machine learning from solar data - spatio-temporal pattern mining - storage of, and access to big data repositories
Primary Convener:  Jack Ireland, ADNET Systems Inc. Greenbelt, Greenbelt, MD, United States
Convener:  Rafal Angryk, Georgia State University, Computer Science, Atlanta, GA, United States
Chairs:  Katharine Reeves, Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, United States and Juan Banda, Georgia State University, Computer Science, Atlanta, GA, United States
OSPA Liaison:  Jack Ireland, ADNET Systems Inc. Greenbelt, Greenbelt, MD, United States

Cross-Listed:
  • IN - Earth and Space Science Informatics
Index Terms:

1916 Data and information discovery [INFORMATICS]
1999 General or miscellaneous [INFORMATICS]
7594 Instruments and techniques [SOLAR PHYSICS, ASTROPHYSICS, AND ASTRONOMY]
7599 General or miscellaneous [SOLAR PHYSICS, ASTROPHYSICS, AND ASTRONOMY]

Abstracts Submitted to this Session:

Organization of Solar and Heliospheric Data for Scientific Discovery (Invited) (150599)
Joseph B Gurman, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Flare Prediction Using Photospheric and Coronal Image Data  (154069)
Eric Jonas1, Vaishaal Shankar1, Monica Bobra2 and Ben Recht1, (1)University of California Berkeley, Electrical Engineering and Computer Science, Berkeley, CA, United States, (2)Stanford University, Physics Department, Stanford, CA, United States
A Database of Flare Ribbons Observed By Solar Dynamics Observatory (194526)
Maria Kazachenko, University of Colorado at Boulder, NSO, LASP, Boulder, CO, United States, Benjamin J Lynch, University of California Berkeley, Space Sciences Laboratory, Berkeley, CA, United States and Brian T Welsch, University of California Berkeley, Berkeley, CA, United States
The DKIST Data Center: Meeting the Data Challenges for Next-Generation, Ground-Based Solar Physics (Invited) (164535)
Kevin Reardon1, Steven J Berukoff2, Alisdair R Davey1,3, Tony Hays2, DJ Spiess2, Fraser Thomas Watson2 and Scott Wiant2, (1)National Solar Observatory, Tucson, AZ, United States, (2)National Solar Observatory, Sunspot, NM, United States, (3)Smithsonian Astrophysical Observatory, Cambridge, MA, United States
Magnetic Feature Tracking in the DKIST Era: Challenges and Opportunities (199087)
Derek A Lamb, Southwest Research Institute Boulder, Boulder, CO, United States
Statistics of eruptions characterized by automated spatiotemporal analysis of SDO/AIA images (159733)
Neal E Hurlburt, Lockheed Martin Solar and Astrophysics Laboratory, Palo Alto, CA, United States
Tracking Solar Events for Information Discovery using SDO/AIA Images (185489)
Dustin Kempton, Georgia State University, Atlanta, United States and Rafal Angryk, Georgia State University, Computer Science, Atlanta, GA, United States
Spatiotemporal Frequent Pattern Discovery from Solar Event Metadata (186429)
Berkay Aydin1, Rafal Angryk1, Soukaina Filali Boubrahimi2 and Shah M. Hamdi1, (1)Georgia State University, Computer Science, Atlanta, GA, United States, (2)Utah State University, Computer Science, Logan, United States

See more of: SPA-Solar and Heliospheric Physics