Poster Session 2 Space Weather Research and Technology:  Posters

Tuesday, 14 January 2020: 4:00 PM-6:00 PM
Hall B (Boston Convention and Exhibition Center)

Chairs:
Barbara Thompson, NASA, Greenbelt, MD and Richard A. Behnke, Science Prime, Vienna, VA
Papers:
Comparison of Van Allen Probes Energetic Electron Data with Corresponding GOES-15 Measurements: 2012 - 2018
D. N. Baker, Univ. of Colorado Boulder, Boulder, CO; and H. Zhao, X. Li, S. G. Kanekal, A. N. Jaynes, B. Kress, J. R. Rodriquez, H. J. Singer, S. G. Claudepierre, S. G. Claudepierre, and J. F. Fennell

Ensemble Data Assimilation for the RAM-SCB Model
Humberto C. Godinez, LANL, Los Alamos, NM; and S. Morley, M. G. Henderson, and V. K. Jordanova

A New Empirical Model for Ionospheric Total Electron Content
Cole A Tamburri, Boston College, Newton, MA; Massachusetts Institute of Technology, Westford, MA; and L. Goncharenko, W. Rideout, and A. Coster

Plasma Wave Observations during Geomagnetic Storms with MMS
Erin Radermacher, LASP, Boulder, CO; Kalamazoo College, Kalamazoo, MI; and M. E. Usanova and N. Ahmadi

The Space Weather Living History Program: Interviews with SWx Innovators
Carolyn Y. Ng, ADNET Systems Inc., Greenbelt, MD; and B. J. Thompson and T. D. Cline

NOAA Space Weather Prediction Center Solar Energetic Particle Event Forecast Skill
Noah A. Stitely, Millersville University of Pennsylvania, Millersville, PA; and H. Bain and D. Biesecker

The Latest on the Reconstruction of the Sunspot Number
W. Dean Pesnell, NASA, Greenbelt, MD; and F. Clette and L. Lefevre

National Oceanic and Atmospheric Administration’s Space Weather Services – Our Nation’s First Line of Defense against Space Weather Storms
Jennifer Meehan, NOAA, Silver Spring, MD; and W. J. Murtagh

Influence of Tropical Cyclones on Total Electron Content
joanna williams, Air Force Institute of Technology, Wright-Patterson AFB, OH; and B. urbancic, R. C. Tournay, O. A. Nava, and H. R. Tseng

Physics-informed Machine Learning with Autoencoders and LSTM for Probabilistic Space Weather Modeling and Forecasting
Richard Joseph Licata III, West Virginia University, Morgantown, WV; and P. M. Mehta

Nowcasting of auroral electron precipitation using an artificial neural network
Amin Taziny, University of Colorado Boulder, Boulder, CO; and E. Camporeale

On the Generation of Probabilistic Forecasts from Deterministic Models
Enrico Camporeale, CIRES, Boulder, CO; NOAA, Boulder, CO; and X. Chu, O. Agapitov, and J. Bortnik

Using Unsupervised Machine Learning to Explore New Classification of Sunspot Active Regions
Sara Housseal, Millersville University, Millersville, PA; and T. E. Berger and V. Deshmukh

Abstract Submissions Closed



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