SM14A:
Frontier Solar-Terrestrial Science Enabled by the Combination of Data-Driven Techniques and Physics-Based Understanding I

Submit an Abstract to this Session



Session ID#: 32931

Session Description:
The Sun-Earth system is complex and highly coupled. Understanding and modeling observed Sun-Earth phenomena requires the combination of systems-level (global) approaches with extensive utilization of our growing and increasingly accessible observational system. Analysis techniques from the fields of statistical inference, information theory, and machine learning coupled with emerging state-of-the-art computational techniques are enabling a new frontier in Sun-Earth system specification. This session will be a forum for novel understanding of Solar-Terrestrial relations obtained from the use of data-driven approaches and technologies. Specific emphasis will be placed on improved understanding of complexities, including multi-scale coupling, causality, nonlinearity, and the implications for space weather prediction.
Primary Convener:  Ryan Michael McGranaghan, NASA Jet Propulsion Laboratory, Pasadena, United States
Conveners:  Jacob Bortnik, University of California Los Angeles, Los Angeles, CA, United States, Enrico Camporeale, Centrum Wiskunde & Informatica, Amsterdam, Netherlands and Tomoko Matsuo, University of Colorado Boulder, Boulder, United States
Chairs:  Ryan Michael McGranaghan, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States and Enrico Camporeale, Centrum Wiskunde & Informatica, Amsterdam, Netherlands
OSPA Liaison:  Simon Wing, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States

Cross-Listed:
  • SA - SPA-Aeronomy
  • SH - SPA-Solar and Heliospheric Physics
Index Terms:

1942 Machine learning [INFORMATICS]
1986 Statistical methods: Inferential [INFORMATICS]
2799 General or miscellaneous [MAGNETOSPHERIC PHYSICS]
7924 Forecasting [SPACE WEATHER]

Abstracts Submitted to this Session:

Tools for Detecting Causality in Space Systems (222012)
Jay Johnson, Andrews University, Berrien Springs, United States and Simon Wing, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States
Untangling the drivers of nonlinear systems with information theory (Invited) (207943)
Simon Wing, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States and Jay Johnson, Andrews University, Berrien Springs, United States
Predicting Solar Activity Using Machine-Learning Methods (Invited) (214882)
Monica Bobra, Stanford University, W.W Hansen Experimental Physics Laboratory, Stanford, CA, United States
Ensemble Kalman Filter Data Assimilation in a Solar Dynamo Model (263746)
Mausumi Dikpati, High Altitude Observatory, Boulder, United States
Perturbed-input-data ensemble modeling of magnetospheric dynamics (284893)
Steven Morley1, John T Steinberg2, John David Haiducek3, Daniel T Welling4, Ehab Hassan5 and Brian Phillip Weaver2, (1)Los Alamos National Laboratory, Space Science and Applications, Los Alamos, United States, (2)Los Alamos National Laboratory, Los Alamos, United States, (3)US Naval Research Laboratory, Washington, DC, United States, (4)University of Michigan, Ann Arbor, MI, United States, (5)Ain Shams Universit, Cairo, Egypt
Unexpected storm-time nightside plasmaspheric density enhancement at low L shell (258561)
Dr. Xiangning Chu, University of California Los Angeles, Department of Atmospheric and Oceanic Sciences, Los Angeles, United States, Jacob Bortnik, University of California Los Angeles, Atmospheric and Oceanic Sciences, Los Angeles, United States, Richard Eugene Denton, Dartmouth College, Department of Physics and Astronomy, Hanover, NH, United States and Chao Yue, Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, Los Angeles, China
Dynamical Networks Characterization of Geomagnetic Substorms and Transient Response to the Solar Wind State. (228471)
Joe Dods, University of Warwick, Coventry, United Kingdom; Centre for Fusion, Space and Astrophysics, Department of Physics, Coventry, United Kingdom, Sandra C Chapman, University of Warwick, Centre for Fusion, Space and Astrophysics, Department of Physics, Coventry, CV4, United Kingdom and Jesper W Gjerloev, Applied Physics Laboratory Johns Hopkins, Laurel, MD, United States

See more of: SPA-Magnetospheric Physics