APPLICATIONS AND DATA ANALYSIS TOOLS

CONFERENCE SUMMARIES

  1. Knipp, D., and Mannucci, A. 2020. Table of contents in Meeting artifacts from Chapman Conference on scientific challenges pertaining to space weather forecasting including extremes (Version V1.0), [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3693004

DEEP LEARNING LABORATORY

  1. Deshmukh, V., Berger, T. E., Bradley, E., et. al. 2020. Leveraging the Mathematics for Shape for Solar Magnetic Eruption Prediction, Journal of Space Weather and Space Climate, 10, 13. https://doi.org/10.1051/swsc/2020014

EDUCATION

  1. Knipp, D.J., Bernstein, V., Wahl, K. and Hayakawa, H. 2021. Timelines as a tool for learning about space weather storms. J. Space Weather Space Clim, 11, 29. https://doi.org/10.1051/swsc/2021011
  2. Knipp, D., Gross, N., and Hughes, J. 2020. A case study for space weather evidenced-based teaching and learning: The storm events during early September 2017 (Version V1.0). Zenodo. http://doi.org/10.5281/zenodo.3661545

GLOBAL ELECTRIC AND MAGNETIC PERTURBATIONS

  1. Kelbert, A., Lucas, G. M. 2020. Modified GIC estimation using 3D Earth conductivity. Space Weather. https://doi.org/10.1029/2020SW002467
  2. Lucas, G., Love, J. J., Kelbert, A., et al. 2020. A 100‐year geoelectric hazard analysis for the U.S. high‐voltage power grid. Space Weather, 18. https://doi.org/10.1029/2019SW002329

GLOBAL NAVIGATION SATELLITE SYSTEMS (GNSS) IMPACTS

MISSIONS AND INSTRUMENTS

  1. Rowland, W., Codrescu, S., Plummer, T., et. al. 2020. Feasibility of near-real-time GOLD data products. Journal of Geophysical Research. https://doi.org/10.1029/2020JA027819

RESEARCH-TO-OPERATIONS / OPERATIONS-TO-RESEARCH

  1. Rowland, W., Codrescu, S., Plummer, T., et. al. 2020. Feasibility of near-real-time GOLD data products. Journal of Geophysical Research. https://doi.org/10.1029/2020JA027819

SOLAR PHYSICS

  1. Deshmukh, V., Berger, T. E., Bradley, E., et. al. 2020. Leveraging the Mathematics for Shape for Solar Magnetic Eruption Prediction, Journal of Space Weather and Space Climate, 10, 13. https://doi.org/10.1051/swsc/2020014
  2. Plowman, J., and Berger, T. 2020a. Calibrating GONG magnetograms with end-to-end instrument simulation I. Background, the GONG instrument, and end-to-end simulation. Solar Physics, (in review).
  3. Plowman, J., and Berger, T. 2020b. Calibrating GONG magnetograms with end-to-end instrument simulation II. Theory of calibration. Solar Physics, (in review).
  4. Plowman, J., and Berger, T. 2020c. Calibrating GONG magnetograms with end-to-end instrument simulation III. Comparison, calibration, and results. Solar Physics, (in press).

SPACE DOMAIN SCIENCE

  1. Berger, T. E., Holzinger, M. J., Sutton, E. S., et. al. 2020. Flying through uncertainty. Space Weather, 18(1). http://doi.org/10.1029/2019SW002373
  2. Knipp, D.J., Bernstein, V., Wahl, K. and Hayakawa, H. 2021. Timelines as a tool for learning about space weather storms. J. Space Weather Space Clim, 11, 29. https://doi.org/10.1051/swsc/2021011