Space Environment Modeling Group

Jackson D. R., S. Bruinsma, S. Negrin, C. Stolle, C. J. Budd, R. Dominguez Gonzalez, E. Down, D. J. Griffin, M. J. Griffith, G. Kervalishvili, D. Lubi’an Arenillas, J. Manners, J. Matzka, Y. Y. Shprits, R. Vasile, I. S. Zhelavskaya, (2020), The Space Weather Atmosphere Models and Indices (SWAMI) project: Overview and first results, J. Space Weather Space Clim., 10, 18, doi:10.1051/swsc/2020019

Zhelavskaya I. S., R. Vasile, Y. Y. Shprits, C. Stolle, J. Matzka, (2019), Systematic Analysis of Machine Learning and Feature Selection Techniques for Prediction of the Kp Index, Space Weather, 17, 1461-1486, doi:10.1029/2019SW002271

Zhelavskaya I. S., Y. Y. Shprits, R. Vasile, C. Stolle, J. Matzka, (2018), Systematic analysis of machine learning techniques for Kp prediction in the framework of the H2020 project SWAMI, 42nd Cospar Scientific Assembly, July 14–22, 2018, Pasadena, CA, USA

Zhelavskaya I. S., Y. Y. Shprits, R. Vasile, C. Stolle, J. Matzka, (2018), Systematic analysis of machine learning techniques for Kp prediction, (poster), EGU General Assembly 2018, April 8–13, 2018, Vienna, Austria

Stolle C., Y. Shprits, J. Saynisch, F. Vervelidou, J. Matzka, (2017), Geomagnetismus und Partikelstrahlung im Weltraum, Sys Erde, 7, 32-37, doi:10.2312/GFZ.syserde.07.02.5

Wintoft P., M. Wik, J. Matzka, Y. Shprits, (2017), Forecasting Kp from solar wind data: input parameter study using 3-hour averages and 3-hour range values , J. Space Weather Space Clim., 7, A29, doi:10.1051/swsc/2017027