Fast AI-assisted Space Environment pRediction
Bidragets beskrivning
Space weather refers to the conditions in space causing harm to technologies and human health. Space weather is a major risk to the green and digital transfer, because many societally critical services and commodities directly depend on the conditions in space. Compared to terrestrial weather, space weather occurs in much bigger volume, is controlled by complex non-thermal physics, and is measured by much fewer instruments. Due to this complexity, the current operational space weather models use simplistic physical approximations that miss many fundamental phenomena in space physics. Vlasiator is the world's most accurate space environment simulation that solves space physics using the ion-kinetic description and is run on the world's largest supercomputers. This project builds on recent breakthroughs in machine learning. Advanced machine learning methods enable the world's first ion-kinetic space weather forecast model with accuracy on par with Vlasiator.
Visa merStartår
2024
Slutår
2028
Beviljade finansiering
Rollen i Finlands Akademis konsortium
Övriga parter i konsortiet
Finansiär
Finlands Akademi
Typ av finansiering
Akademiprojekt
Utlysning
Beslutfattare
Forskningsrådet för naturvetenskap och teknik
13.06.2024
13.06.2024
Övriga uppgifter
Finansieringsbeslutets nummer
361902
Vetenskapsområden
Geovetenskaper
Forskningsområden
Avaruusfysiikka