submitted / in revision / revised:
Rüdisser, H. T., A. Windisch, U. V. Amerstorfer, C. Möstl, T. Amerstorfer, R. L. Bailey, M. A. Reiss, Automatic Detection of Interplanetary Coronal Mass Ejections in Solar Wind In Situ Data, Space Weather, submitted, 2022.
arxiv.org/abs/2205.03578
published / in press:
Bailey, R., R. Leonhardt, C. Möstl, C. Beggan, M. A. Reiss, A. Bashkar, A. J. Weiss, Forecasting GICs and geoelectric fields from solar wind data using LSTMs: application in Austria, Space Weather, e2021SW002907, 2022.
arxiv.org/abs/2109.08624
Reiss, M. A., K. Muglach, C. Möstl, C. N. Arge, R. L. Bailey, V. Delouille, T. M. Garton, A. Hamada, S. Hofmeister, E. Illarionov, R. Jarolim, M. S. F. Kirk, A. Kosovichev, L. Krista, S. Lee, Sangwoo, C. Lowder, P. J. MacNeice, A. Veronig, ISWAT Coronal Hole Boundary Working Team, The Observational Uncertainty of Coronal Hole Boundaries in Automated Detection Schemes, ApJ, 913, 28, 2021.
arxiv.org/abs/2103.14403
Barnard, L., M. J. Owens, C. J. Scott, M. Lockwood, C. A. de Koning, T. Amerstorfer, J. Hinterreiter, C. Möstl, J. A. Davies, P. Riley, Quantifying the uncertainty in CME kinematics derived from geometric modelling of Heliospheric Imager data, Space Weather, 20, 1, e2021SW002841, 2022.
arxiv.org/abs/2111.13337
Reiss, M. A., C. Möstl, R. L. Bailey, H. T. Rüdisser, U. V. Amerstorfer, T. Amerstorfer, A. J. Weiss, J. Hinterreiter, and A. Windisch, Machine learning for predicting the Bz magnetic field component from upstream in situ observations of solar coronal mass ejections, Space Weather, 19, e2021SW002859, 2021.
arxiv.org/abs/2108.04067
Bauer, M., T. Amerstorfer, J. Hinterreiter, A. J. Weiss, J. A. Davies, C. Möstl, U. V. Amerstorfer, M. A. Reiss, R. A. Harrison, Predicting CMEs using ELEvoHI with STEREO-HI beacon data, Space Weather, 9, e2021SW002873s, 2021.
arxiv.org/abs/2108.08072
Bailey, R. L., Reiss, M. A., Arge, C. N., Möstl, C., Owens, M. J., Amerstorfer, U. V., Henney, C. J., Amerstorfer, T., Weiss, A. J., & Hinterreiter, J., Using gradient boosting regression to improve ambient solar wind model predictions, Space Weather, 19, 5, 2021.
arxiv.org/abs/2006.12835
Allen, R. C., G. C. Ho, G. M. Mason, L. K. Jian, S. K. Vines, S. D. Bale, A. W. Case, M. E. Hill, C. J. Joyce, J. C. Kasper, K. E. Korreck, D. M. Malaspina, D. J. McComas, R. McNutt, C. Möstl, D. Odstrcil, N. Raouafi, and M. L. Stevens, A living catalog of stream interaction regions in the Parker Solar Probe era, Astronomy & Astrophysics, 650, A25, 2021.
www.aanda.org/articles/aa/full_html/2021/06/aa39833-20/aa39833-20.html
Bailey, R. L., Möstl, C., Reiss, M. A., Weiss, A. J., Amerstorfer, U. V., Amerstorfer, T., et al., Prediction of Dst during solar minimum using In situ measurements at L5, Space Weather, 18, e2019SW002424, 2020.
doi.org/10.1029/2019SW002424
(open access) arxiv.org/abs/2005.00249
Reiss, M. A., MacNeice, P. J., Muglach, K., Arge, C. N., Möstl, C., Riley, P., Hinterreiter, J., Bailey, R. L., Weiss, A. J., Owens, M. J., Amerstorfer, T., & Amerstorfer, U., Forecasting the Ambient Solar Wind with Numerical Models. II. An Adaptive Prediction System for Specifying Solar Wind Speed near the Sun, The Astrophysical Journal, 891, 2, 165, 2020.
doi.org/10.3847/1538-4357/ab78a0/
arxiv.org/abs/2005.00249