SM33A:
Combining Data and Models in Data-Starved Fields of Heliophysics II Posters

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Session ID#: 13267

Session Description:
Despite the large volume of observational data in the magnetosphere, solar atmosphere and heliosphere, these fields are still “data-starved” due to severe data scarcity. Advances in observational and data mining techniques allow extracting information from data that can help drive, constrain, assimilate, or be otherwise combined with models. The latter, in turn, are reaching the level of sophistication at which they can help interpret observations and fill data gaps. This session solicits abstracts presenting methods and results of investigations that build upon the synergy between data sets and sophisticated physics-based or empirical models. Presentations developing or applying methods of data assimilation, novel validation techniques, e.g., via pattern recognition, and other means of data-model fusion are solicited. The common forum provided by this session will help address the pressing need for exchange of expertise among the aforementioned heliophysical disciplines currently striving to develop such methods.
Primary Convener:  Viacheslav G Merkin, Johns Hopkins University, Baltimore, MD, United States
Conveners:  Pete Riley, Predictive Science Inc., San Diego, CA, United States, Mikhail I. Sitnov, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States and Michael Ghil, University of California Los Angeles, Atmos. Sci, Los Angeles, CA, United States
Chairs:  Pete Riley, Predictive Science Inc., San Diego, CA, United States and Viacheslav G Merkin, Johns Hopkins University, Baltimore, MD, United States
OSPA Liaison:  Viacheslav G Merkin, Johns Hopkins University, Baltimore, MD, United States
Co-Organized with:
SPA-Magnetospheric Physics, and SPA-Solar and Heliospheric Physics

Cross-Listed:
  • A - Atmospheric Sciences
  • SA - SPA-Aeronomy

Proposed Co-Organized Session with:
  • SH - SPA-Solar and Heliospheric Physics
Index Terms:

1910 Data assimilation, integration and fusion [INFORMATICS]
2753 Numerical modeling [MAGNETOSPHERIC PHYSICS]
7833 Mathematical and numerical techniques [SPACE PLASMA PHYSICS]
7924 Forecasting [SPACE WEATHER]

Abstracts Submitted to this Session:

Heliophysics Legacy Data Restoration (139643)
Robert M Candey1, Edwin V Bell II2,3, Dieter Bilitza4,5, Reine Chimiak5, John F Cooper6, Leonard N Garcia7,8, Edwin J Grayzeck2, Bernard T Harris9, H Kent Hills2,3, Rita C Johnson3,10, Tamara J Kovalick3,10, Nand Lal10, Howard A Leckner3,10, Michael H Liu3,10, Patrick W McCaslin2,3, Robert E McGuire10, Natalia E Papitashvili5,11, Sharlene A Rhodes2,3, D Aaron Roberts5 and Ronald E Yurow12,13, (1)NASA Goddard Space Flight Center, Space Physics Data Facility, Greenbelt, MD, United States, (2)NASA Goddard Space Flight Center, Code 690.1, Greenbelt, MD, United States, (3)ADNET Systems Inc. Greenbelt, Greenbelt, MD, United States, (4)George Mason University Fairfax, Department of Physics and Astronomy, Fairfax, VA, United States, (5)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (6)NASA Goddard Space Flight Center, Heliospheric Physics Laboratory, Code 672, Greenbelt, MD, United States, (7)SGT, Inc., Lanham, MD, United States, (8)NASA Goddard Space Flight Center, Code 605, Greenbelt, MD, United States, (9)NASA Goddard Space Flight Center, Code 580, Greenbelt, MD, United States, (10)NASA Goddard Space Flight Center, Code 670, Greenbelt, MD, United States, (11)ADNET Systems Inc., Greenbelt, MD, United States, (12)ADNET Systems Inc., Greenbelt, United States, (13)NASA Goddard Space Flight Center, Greenbelt, United States
Grad-Shafranov reconstruction of Earth’s magnetopause with anisotropic pressure (145776)
Guan-Wen Chen, National Central University, Institute of Space Science, Taoyuan City, Taiwan and Lin-Ni Hau, National Central University, Department of Physics, Jhongli, Taiwan
Supra Arcade Downflows in the Corona Informed by Magnetospheric Dipolarization Fronts with THEMIS (162718)
Adam Kobelski, University of Alabama in Huntsville, Huntsville, United States, Sabrina L Savage, NASA Marshall Space Flight Center, Huntsville, United States and David Malaspina, University of Colorado, Astrophysical and Planetary Sciences Department, Boulder, United States
Observational Signatures of Magnetic Reconnection in the Corona (167473)
Sabrina L Savage, NASA Marshall Space Flight Center, Huntsville, AL, United States, Matthew John West, Royal Observatory of Belgium, Brussels, Belgium, Daniel B Seaton, University of Colorado Boulder, Boulder, CO, United States and Adam Kobelski, University of Alabama in Huntsville, Huntsville, United States
A model of storm-time oxygen in the magnetosphere: Data-model comparisons (168081)
Robert Colby Allen1, Stefano A Livi2, Sarah K. Vines3, Jerry Goldstein3, Stephen A Fuselier3 and Harlan E Spence4, (1)Southwest Research Institute, San Antonio, United States, (2)SwRI, San Antonio, United States, (3)Southwest Research Institute, San Antonio, TX, United States, (4)University of New Hampshire Main Campus, Space Science Center, Durham, NH, United States
Data Mining for Vortices on the Earth's Magnetosphere (177607)
Yaireska M Collado-Vega, NASA Goddard Space Flight Center, Moon to Mars Space Weather Analysis Office, Greenbelt, MD, United States, Virginia L. Kalb, NASA Goddard Space Flight Center, Greenbelt, United States and David G Sibeck, NASA/GSFC, Greenbelt, United States
Propagation of Uncertainties in Radiation Belt Simulations (172381)
Enrico Camporeale1, Yuri Y. Shprits2, Mandar Chandorkar1, Alexander Drozdov2 and Simon Wing3, (1)Centrum Wiskunde & Informatica, Amsterdam, Netherlands, (2)University of California Los Angeles, EPSS, Los Angeles, CA, United States, (3)Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States
Global dynamic evolution of the cold plasma inferred with neural networks (181466)
Irina S S Zhelavskaya, Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany, Yuri Y. Shprits, University of California Los Angeles, EPSS, Los Angeles, CA, United States and Maria Spasojevic, Stanford University, Stanford, CA, United States
Erosion and refilling of the plasmasphere studied by neural network based three-dimensional plasmaspheric model (183153)
Dr. Xiangning Chu1, Jacob Bortnik2, Wen Li2, Vassilis Angelopoulos3, Richard M Thorne2, Richard Eugene Denton4, John Douglas Menietti5 and Yongli Wang6, (1)University of California Los Angeles, Department of Atmospheric and Oceanic Sciences, Los Angeles, United States, (2)University of California Los Angeles, Los Angeles, CA, United States, (3)University of California Los Angeles, Earth, Planetary, and Space Sciences, Los Angeles, CA, United States, (4)Dartmouth College, Department of Physics and Astronomy, Hanover, NH, United States, (5)University of Iowa, Department of Physics and Astronomy, Iowa City, IA, United States, (6)University of Maryland Baltimore County, Goddard Planetary Heliophysics Institute, Baltimore, MD, United States

See more of: SPA-Magnetospheric Physics