PINE-RT: An operational real-time plasmasphere model

The plasmasphere is a region of cold and dense plasma around the Earth, corotating with Earth. Its density very dynamic under influence solar wind it influences several processes such as GPS navigation, surface charging satellites propagation growth waves. In this manuscript, we present new machine-learning model equatorial depending only on Kp index solar-wind properties at L1 Lagrange point. We call PINE-RT has been inspired by recently-introduced PINE (Plasma in Inner magnetosphere Neural network-based Empirical) developed to run real-time (RT) context PAGER project. This project an EU Horizon 2020 aiming forecasting threats satellite consequence activity 1–2 days ahead. PAGER, are inputs which made available for modeling. report here detailed derivation its validation comparison two state-of-the-art physics-based models. currently running predictions publicly available.