Fast AI-assisted Space Environment pRediction

Akronym

FAISER

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.
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Startår

2024

Slutår

2028

Beviljade finansiering

Minna Palmroth Orcid -palvelun logo
451 346 €


Rollen i Finlands Akademis konsortium

Övriga parter i konsortiet

Partner
Helsingfors universitet (361902)
487 722 €

Finansiär

Finlands Akademi

Typ av finansiering

Akademiprojekt

Beslutfattare

Forskningsrådet för naturvetenskap och teknik
13.06.2024

Övriga uppgifter

Finansieringsbeslutets nummer

361901

Vetenskapsområden

Geovetenskaper

Forskningsområden

Avaruusfysiikka