Collecting and utilising crowdsourced data for numerical weather prediction: Propositions from the meeting held in Copenhagen, 4-5 December 2018

Kasper S. Hintz, Katharine O'Boyle, Sarah L. Dance, Saja Al-Ali, Ivar Ansper, Dick Blaauboer, Matthew Clark, Alexander Cress, Mohamed Dahoui, Ronan Darcy, Juhana Hyrkkanen, Lars Isaksen, Eigil Kaas, Ulrik S. Korsholm, Marion Lavanant, Gwenaelle Le Bloa, Emilie Mallet, Conor McNicholas, Jeanette Onvlee-Hooimeijer, Bent SassValeria Siirand, Henrik Vedel, Joanne A. Waller, Xiaohua Yang

7 Citations (Scopus)
16 Downloads (Pure)
Original languageEnglish
Article numberUNSP e921
JournalAtmospheric Science Letters
Volume20
Issue number7
ISSN1530-261X
DOIs
Publication statusPublished - 2 Jul 2019

Keywords

  • citizen science
  • crowdsourcing
  • data collection
  • opportunistic data
  • quality control
  • third-party data

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