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dc.contributor.authorChubb, K.L.
dc.contributor.authorRobert, S.
dc.contributor.authorSousa-Silva, C.
dc.contributor.authorYurchenko, S.N.
dc.contributor.authorAllard, N.F.
dc.contributor.authorBoudon, V.
dc.contributor.authorBuldyreva, J.
dc.contributor.authorBultel, B.
dc.contributor.authorCoustenis, A.
dc.contributor.authorFoltynowicz, A.
dc.contributor.authorGordon, I.E.
dc.contributor.authorHargreaves, R.J.
dc.contributor.authorHelling, C.
dc.contributor.authorHill, C.
dc.contributor.authorHrodmarsson, H.R.
dc.contributor.authorKarman, T.
dc.contributor.authorLecoq-Molinos, H.
dc.contributor.authorMigliorini, A.
dc.contributor.authorRey, M.
dc.contributor.authorRichard, C.
dc.contributor.authorSadiek, I.
dc.contributor.authorSchmidt, F.
dc.contributor.authorSokolov, A.
dc.contributor.authorStefani, S.
dc.contributor.authorTennyson, J.
dc.contributor.authorVenot, O.
dc.contributor.authorWright, S.O.M.
dc.contributor.authorArenales-Lope, R.
dc.contributor.authorBarstow, J.K.
dc.contributor.authorBocchieri, A.
dc.contributor.authorCarrasco, N.
dc.contributor.authorDubey, D.
dc.contributor.authorEgorov, O.
dc.contributor.authorMuñoz, A.G.
dc.contributor.authorGharib-Nezhad, E.
dc.contributor.authorGkouvelis, L.
dc.contributor.authorGrübel, F.
dc.contributor.authorIrwin, P.G.J.
dc.contributor.authorKnížek, A.
dc.contributor.authorLewis, D.A.
dc.contributor.authorLodge, M.G.
dc.contributor.authorMa, S.
dc.contributor.authorMartins, Z.
dc.contributor.authorMolaverdikhani, K.
dc.contributor.authorMorello, G.
dc.contributor.authorNikitin, A.
dc.contributor.authorPanek, E.
dc.contributor.authorRengel, M.
dc.contributor.authorRinaldi, G.
dc.contributor.authorSkinner, J.W.
dc.contributor.authorTinetti, G.
dc.contributor.authorVan Kempen, T.A.
dc.contributor.authorYang, J.
dc.contributor.authorZingales, T.
dc.date2024
dc.date.accessioned2024-11-14T11:33:52Z
dc.date.available2024-11-14T11:33:52Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/13518
dc.descriptionThe goal of this white paper is to provide a snapshot of the data availability and data needs primarily for the Ariel space mission, but also for related atmospheric studies of exoplanets and cool stars. It covers the following data-related topics: molecular and atomic line lists, line profiles, computed cross-sections and opacities, collision-induced absorption and other continuum data, optical properties of aerosols and surfaces, atmospheric chemistry, UV photodissociation and photoabsorption cross-sections, and standards in the description and format of such data. These data aspects are discussed by addressing the following questions for each topic, based on the experience of the ‘data-provider’ and ‘data-user’ communities: (1) what are the types and sources of currently available data, (2) what work is currently in progress, and (3) what are the current and anticipated data needs. We present a GitHub platform for Ariel-related data, with the goal to provide a go-to place for both data-users and data-providers, for the users to make requests for their data needs and for the data-providers to link to their available data. Our aim throughout the paper is to provide practical information on existing sources of data whether in data bases, theoretical, or literature sources.
dc.languageeng
dc.titleData availability and requirements relevant for the Ariel space mission and other exoplanet atmosphere applications
dc.typeArticle
dc.subject.frascatiPhysical sciences
dc.audienceScientific
dc.subject.freeData Methods
dc.subject.freeNumerical methods
dc.subject.freeAlgorithms, Ariel
dc.subject.freeData needs
dc.source.titleRAS Techniques and Instruments
dc.source.volume3
dc.source.issue1
dc.source.page636-690
Orfeo.peerreviewedYes
dc.identifier.doi10.1093/rasti/rzae039
dc.identifier.url


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