• Improving Atmospheric Angular Momentum Forecasts by Machine Learning 

      Dill, R.ORCIDiD; Saynisch‐Wagner, J.; Irrgang, C.ORCIDiD; Thomas, M. (Earth and Space Science, 2021-12-20)
      Earth angular momentum forecasts are naturally accompanied by forecast errors that typically grow with increasing forecast length. In contrast to this behavior, we have detected large quasi‐periodic deviations between ...
    • Nowcasting and Predicting the Kp Index Using Historical Values and Real-Time Observations 

      Shprits, Yuri Y.ORCIDiD; Vasile, Ruggero; Zhelavskaya, Irina S.ORCIDiD (Space Weather, 2019)
      Current algorithms for the real-time prediction of the Kp index use a combination of models empirically driven by solar wind measurements at the L1 Lagrange point and historical values of the index. In this study, we explore ...