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    0563623 - ÚCHP 2023 RIV FI eng A - Abstract
    Ovaska, A. - Rauth, E. - Holmberg, D. - Bergmans, B. - Collins, D. - Ding, A. - Franco, M.A. - Gani, S. - Hussein, T. - Hyvärinen, A. - Leaitch, R. - Mihalopoulos, N. - O´Dowd, C. - Sporre, M. - Tunved, P. - Ulevicius, V. - Wiedensohler, A. - Ždímal, Vladimír - Makkonen, R. - Puolamäki, K. - Nieminen, T. - Paasonen, P.
    Using Machine Learning to Estimate Accumulation Mode Particle Concentrations Based on In-situ Measurements and Reanalysis Data.
    Abstract Book 1st ACTRIS Science Conference 2022. Helsinki, 2022 - (Ovaska, A.; Vera, J.; Rörup, B.; Petäjä, T.). s. 28-29. ISBN 978-952-7276-80-8. ISSN 2814-4236.
    [ACTRIS Science Conference /1./. 11.05.2022-13.05.2022, Helsinki]
    Grant - others:ERDF(XE) UIA03-240; AC(FI) 337549; AF(FI) 311932
    Institutional support: RVO:67985858
    Keywords : aerosol-cloud interactions * cloud condensation nuclei * machine learning
    OECD category: Meteorology and atmospheric sciences
    http://www.faar.fi/wp-content/uploads/2022/04/RS250_AbstractBook_ACTRIS_SC_2022.pdf
    Permanent Link: https://hdl.handle.net/11104/0335537
    FileDownloadSizeCommentaryVersionAccess
    SKMBT_C22022110812380.pdf0700.3 KBPublisher’s postprintopen-access
     
     

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