SM32A:
Combining Data and Models in Data-Starved Fields of Heliophysics I

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Session ID#: 17141

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:  Michael Ghil, University of California Los Angeles, Atmos. Sci, Los Angeles, CA, United States, Mikhail I. Sitnov, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States, 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:

Data-driven Applications for the Sun-Earth System (Invited) (120352)
Dmitri A Kondrashov, University of California Los Angeles, Atmos. Sci, Los Angeles, CA, United States
Data-Driven Models of the Solar Corona and Solar Wind (Invited) (119277)
Jon Linker1, Cooper Downs1, Ronald M. Caplan2, Roberto Lionello1, Zoran Mikic1, Pete Riley1, Carl J Henney3 and Charles Nickolos Arge3, (1)Predictive Science Inc., San Diego, CA, United States, (2)Predictive Science Inc., San Diego, United States, (3)Kirtland Air Force Base, Kirtland AFB, NM, United States
Modeling the Solar Wind throughout Interplanetary Space Using Ground-based and Spacecraft Observational Data (148877)
Tae K. Kim1, Nikolai V Pogorelov2, Charles Nickolos Arge3, Heather Alison Elliott4, Bernard V Jackson5, Igor Kryukov6, Periasamy K Manoharan7, David J McComas4,8, Hsiu-Shan Yu9 and Gary Paul Zank6,10, (1)The University of Alabama in Huntsville, The Center for Space Plasma and Aeronomic Research, Huntsville, United States, (2)University of Alabama in Huntsville, Department of Space Science, Huntsville, AL, United States, (3)NASA Goddard Space Flight Center, Heliophysics Science Division, Greenbelt, MD, United States, (4)Southwest Research Institute, San Antonio, TX, United States, (5)University of California, San Diego, Astronomy and Astrophysics, La Jolla, CA, United States, (6)University of Alabama in Huntsville, CSPAR, Huntsville, AL, United States, (7)NASA Goddard Space Flight Center, Heliophysics Science Division, Greenbelt, United States, (8)Princeton University, Department of Astrophysical Sciences and Office of the Vice President for the Princeton Plasma Physics Laboratory, Princeton, NJ, United States, (9)University of California San Diego, Center for Astrophysics and Space Science, La Jolla, CA, United States, (10)University of Alabama in Huntsville, Space Science, Huntsville, AL, United States
Making Sense of High-latitude Geospace Observations Through Bayesian State Estimation for Gaussian Processes (146044)
Tomoko Matsuo, University of Colorado Boulder, Boulder, United States, Ryan Michael McGranaghan, Dartmouth College, Thayer School of Engineering, Hanover, NH, United States and Arthur D Richmond, National Center for Atmospheric Research, Boulder, United States
New Capabilities for Adaptive Mesh Simulation Use within FORWARD (125342)
Nat Mathews, University of Colorado Boulder, Boulder, United States, Natasha Flyer, Flyer Research LLC, Boulder, United States, Sarah E Gibson, National Center for Atmospheric Research, Boulder, CO, United States, Therese Ann Kucera, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Ward Manchester, Climate and Space Science and Engineering, Ann Arbor, United States
Storm-time plasma pressure distribution: First results from an advanced empirical geomagnetic field model (176510)
Grant Killian Stephens1, Mikhail I. Sitnov1, Viacheslav G Merkin2, Sasha Ukhorskiy1, Pontus C. Brandt1, Matina Gkioulidou1, Haje Korth1 and Robert J Redmon3, (1)Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States, (2)Johns Hopkins University, Baltimore, MD, United States, (3)NOAA National Centers for Environmental Information, Boulder, United States
Numerical Investigations of Capabilities and Limits of Photospheric Data Driven Magnetic Flux Emergence (161886)
Mark Linton, US Naval Research Laboratory, Washington, DC, United States, James Edward Leake, US Naval Research Laboratory, Washington, United States and Peter W Schuck, NASA Goddard Space Flight Center, Greenbelt, United States
Prediction of Ultra-Relativistic Electron Flux Dynamics Through a Fusion of Machine-Learning and Physics-Based Models (157999)
Jacob Bortnik1, Qianli Ma2, Dr. Xiangning Chu3, Wen Li2, Xiaojia Zhang4, Richard M Thorne1, Craig Kletzing5, George B Hospodarsky6, Harlan E Spence7, Geoffrey D Reeves8, Shrikanth G Kanekal9 and Daniel N Baker10, (1)University of California Los Angeles, Los Angeles, CA, United States, (2)Boston University, Boston, MA, United States, (3)University of California Los Angeles, Department of Atmospheric and Oceanic Sciences, Los Angeles, United States, (4)University of California Los Angeles, Department of Earth, Planetary, and Space Sciences, Los Angeles, United States, (5)University of Iowa, Physics and Astronomy, Iowa City, United States, (6)University of Iowa, Iowa City, IA, United States, (7)University of New Hampshire Main Campus, Space Science Center, Durham, NH, United States, (8)Los Alamos National Laboratory, Los Alamos, NM, United States, (9)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (10)University of Colorado, Laboratory for Atmospheric and Space Physics, Boulder, United States

See more of: SPA-Magnetospheric Physics