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1 Ergebnisse
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Collecting and utilising crowdsourced data for numerical we..:
Kasper S. Hintz
;
Katharine O'Boyle
;
Sarah L. Dance
...
https://doi.org/10.1002/asl.921. , 2019
Link:
https://doi.org/10.1002/asl.921
RT Journal T1
Collecting and utilising crowdsourced data for numerical weather prediction: Propositions from the meeting held in Copenhagen, 4–5 December 2018
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:d4df9d0a22b440e3bec09779bdc0db2a&Exemplar=1&LAN=DE A1 Kasper S. Hintz A1 Katharine O'Boyle A1 Sarah L. Dance A1 Saja Al‐Ali A1 Ivar Ansper A1 Dick Blaauboer A1 Matthew Clark A1 Alexander Cress A1 Mohamed Dahoui A1 Rónán Darcy A1 Juhana Hyrkkanen A1 Lars Isaksen A1 Eigil Kaas A1 Ulrik S. Korsholm A1 Marion Lavanant A1 Gwenaelle Le Bloa A1 Emilie Mallet A1 Callie McNicholas A1 Jeanette Onvlee‐Hooimeijer A1 Bent Sass A1 Valeria Siirand A1 Henrik Vedel A1 Joanne A. Waller A1 Xiaohua Yang PB Wiley YR 2019 K1 citizen science K1 crowdsourcing K1 data collection K1 opportunistic data K1 quality control K1 third‐party data K1 Meteorology. Climatology K1 QC851-999 JF https://doi.org/10.1002/asl.921 LK http://dx.doi.org/https://doi.org/10.1002/asl.921 DO https://doi.org/10.1002/asl.921 SF ELIB - SuUB Bremen
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