The probabilistic solar particle event forecasting (PROSPER) model

dc.contributor.authorPapaioannou Athanasios
dc.contributor.authorVainio Rami
dc.contributor.authorRaukunen Osku
dc.contributor.authorJiggens Piers
dc.contributor.authorAran Angels
dc.contributor.authorDierckxsens Mark
dc.contributor.authorMallios Sotirios A
dc.contributor.authorPaassilta Miikka
dc.contributor.authorAnastasiadis Anastasios
dc.contributor.organizationfi=avaruustutkimuslaboratorio|en=Space Research Laboratory|
dc.contributor.organizationfi=fysiikan ja tähtitieteen laitos|en=Department of Physics and Astronomy|
dc.contributor.organization-code1.2.246.10.2458963.20.47833719389
dc.contributor.organization-code1.2.246.10.2458963.20.55477946762
dc.converis.publication-id176001426
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/176001426
dc.date.accessioned2025-08-28T00:31:13Z
dc.date.available2025-08-28T00:31:13Z
dc.description.abstractThe Probabilistic Solar Particle Event foRecasting (PROSPER) model predicts the probability of occurrence and the expected peak flux of solar energetic particle (SEP) events. Predictions are derived for a set of integral proton energies (i.e., E > 10, > 30, and > 100 MeV) from characteristics of solar flares (longitude, magnitude), coronal mass ejections (width, speed), and combinations of both. Herein the PROSPER model methodology for deriving the SEP event forecasts is described, and the validation of the model, based on archived data, is presented for a set of case studies. The PROSPER model has been incorporated into the new operational advanced solar particle event casting system (ASPECS) tool to provide nowcasting (short term forecasting) of SEP events as part of ESA's future SEP advanced warning system (SAWS). ASPECS also provides the capability to interrogate PROSPER for historical cases via a run-on-demand functionality.
dc.identifier.jour-issn2115-7251
dc.identifier.olddbid205863
dc.identifier.oldhandle10024/188890
dc.identifier.urihttps://www.utupub.fi/handle/11111/35543
dc.identifier.urnURN:NBN:fi-fe2022091258475
dc.language.isoen
dc.okm.affiliatedauthorVainio, Rami
dc.okm.affiliatedauthorRaukunen, Osku
dc.okm.affiliatedauthorPaassilta, Miikka
dc.okm.discipline115 Astronomy and space scienceen_GB
dc.okm.discipline115 Avaruustieteet ja tähtitiedefi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherEDP SCIENCES S A
dc.publisher.countryFranceen_GB
dc.publisher.countryRanskafi_FI
dc.publisher.country-codeFR
dc.relation.articlenumber24
dc.relation.doi10.1051/swsc/2022019
dc.relation.ispartofjournalJournal of Space Weather and Space Climate
dc.relation.volume12
dc.source.identifierhttps://www.utupub.fi/handle/10024/188890
dc.titleThe probabilistic solar particle event forecasting (PROSPER) model
dc.year.issued2022

Tiedostot

Näytetään 1 - 1 / 1
Ladataan...
Name:
swsc210075.pdf
Size:
4.96 MB
Format:
Adobe Portable Document Format