Swedish Institute of Space Physics in Lund

 
 
Our Research Projects

Lund Space Weather Center

 

Solar Activity - A SOHO/SDO Project

We study how the solar magnetic activity can be modeled and predicted with the use of wavelet methods and Knowledge-Based Neural Networks. Space-based SOHO and ground-based solar data are used.

Project Solar Activity and Earth's Climate

We study how the solar activity can influence the climate indicator North Atlantic Oscillation.

Project Satellite Anomalies (ESA/ESTEC projects)

We study how satellite anomalies can be predicted from the space weather state, using neural networks.

Project Radio Communication Conditions

We study how the radio communication conditions (indicated by e.g. the foF2) can be predicted from the space weather state, using neural networks.

Project Global and Local Magnetic Field Variations

We study how the solar wind energy is transferred to and dissipated within earth's magnetosphere/ionosphere. The global magnetic field variations have been predicted by using geomagnetic activity indices. Real-time predictions are available of Kp, Dst and AE on this web site. Local magnetic geomagnetic field variations are now also studied.

Project GIC

Geomagnetically induced currents and their effect on electric power systems and gas pipeline systems are also studied and predicted by using neural networks. An ESA GIC Pilot project has started.

ESA Space Weather Program

We have contributed with the service definition and prototyping for the ESA Space Weather Program