NG006
Machine Learning in Space Weather II

Tuesday, 15 December 2020: 08:30-09:30
Virtual
Primary Convener:  Enrico Camporeale, University of Colorado at Boulder, Boulder, United States
Conveners:  Jacob Bortnik, University of California Los Angeles, Department of Atmospheric and Oceanic Sciences, Los Angeles, CA, United States, Tomoko Matsuo, University of Colorado Boulder, Boulder, CO, United States and Ryan Michael McGranaghan, Atmospheric and Space Technology Research Associates (ASTRA), Louisville, CO, United States
Primary Liaison:  Enrico Camporeale, University of Colorado, Cooperative Institute for Research in Environmental Sciences, Boulder, United States
Chairs:  Tomoko Matsuo, University of Colorado Boulder, Boulder, CO, United States and Ryan Michael McGranaghan, Atmospheric and Space Technology Research Associates (ASTRA), Louisville, CO, United States
OSPA Liaison:  Ryan Michael McGranaghan, Atmospheric and Space Technology Research Associates (ASTRA), Louisville, CO, United States
08:30
Identifying magnetic reconnection in 2D-HVM simulations with CNNs (697186)
Andong Hu1, Manuela Sisti2, Francesco Finelli3, Francesco Califano3, Matteo Faganello2, Jérémy Dargent3, Enrico Camporeale4 and Jannis Teunissen1, (1)Centrum Wiskunde & Informatica, Amsterdam, Netherlands, (2)INSIS, University of Aix-Marseille, Marseille, France, (3)University of Pisa, Pisa, Italy, (4)University of Colorado, Cooperative Institute for Research in Environmental Sciences, Boulder, United States
08:34
Physics-Informed Reconstruction of MHD Spacetime States from Simulated Spacecraft Measurements (759712)
Christopher Bard, NASA Goddard Space Flight Center, Heliophysics Science Division, Greenbelt, MD, United States and John Dorelli, NASA-GSFC, Rockville, MD, United States
08:38
Prediction of the solar wind propagation delay for L1 to Earth using machine learning (724535)
Carsten Baumann and Aoife E. McCloskey, German Aerospace Center, Institute of Solar-Terrestrial Physics, Space Weather Impact, Neustrelitz, Germany
08:42
Visualization and Interpretation of Unsupervised Solar Wind Classifications (689951)
Jorge Amaya1, Romain Dupuis1, Maria Elena Innocenti2 and Giovanni Lapenta3, (1)Katholieke Universiteit Leuven, Leuven, Belgium, (2)University of Leuven, Leuven, Belgium, (3)Katholieke Universiteit Leuven, Department of Mathematics, Leuven, Belgium
08:46
A Deep Learning Approach to the Forecasting of Ground Magnetic Field Perturbations at High and Mid-Latitudes (703502)
Victor A Pinto, University of New Hampshire Main Campus, Institute for the Study of Earth, Oceans and Space, Durham, NH, United States, Amy M Keesee, University of New Hampshire, Physics and Space Science Center, Durham, NH, United States, Michael Coughlan, University of New Hampshire, Physics, Durham, NH, United States, Michael A Gadbois, University of Massachusetts Amherst, Amherst, United States, Jeremiah W Johnson, University of New Hampshire, Manchester, United States and Hyunju KIM Connor, University of Alaska Fairbanks, Fairbanks, AK, United States
08:50
Incorporating Machine Learning into Mission Operations (746428)
Matthew R Argall1, Colin R. Small2, Samantha Piatt3, Marek Petrik3, Kim Kokkonen4, Julie Barnum4, Kristopher William Larsen5, Frederick D Wilder6, Mitsuo Oka7, William R Paterson8, Roy B Torbert9, Robert Ergun10, Tai D. Phan11, Barbara L Giles12 and James Burch13, (1)University of New Hampshire Main Campus, Department for Physics and Institute for the Study of Earth, Oceans and Space, Durham, NH, United States, (2)University of New Hampshire Main Campus, Durham, NH, United States, (3)University of New Hampshire, Department of Computer Science, Durham, NH, United States, (4)Laboratory for Atmospheric and Space Physics, Boulder, CO, United States, (5)University of Colorado, Laboratory for Atmospheric and Space Physics, Boulder, CO, United States, (6)University of Colorado at Boulder, Boulder, CO, United States, (7)UC Berkeley-Space Sciences Lab, Berkeley, CA, United States, (8)NASA Goddard Space Flight Center, Geospace Physics Laboratory, Greenbelt, MD, United States, (9)Univ New Hampshire, Durham, NH, United States, (10)Univ Colorado, Boulder, CO, United States, (11)SSL, Berkeley, Berkeley, United States, (12)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (13)Southwest Research Institute, San Antonio, TX, United States
08:54
Machine Learning Efforts on Solar Flare Predictions by UoM Team (Invited) (662511)
Yang Chen, University of Michigan, Department of Statistics, Ann Arbor, MI, United States
08:58
Systematic Evaluation of Computational Topology as an Effective Methodology for Improving Solar Eruption Prediction (706031)
Varad Deshmukh, University of Colorado Boulder, Computer Science, Boulder, United States, Thomas E Berger, University of Colorado, Space Weather Technology, Research, and Education Center, Boulder, CO, United States, Elizabeth Bradley, University of Colorado at Boulder, Computer Science, Boulder, CO, United States and James D Meiss, University of Colorado Boulder, Applied Mathematics, Boulder, United States
09:02
Questions and Answers
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