@article{253c484c2499429d98d43c763a5397d2,
title = "Collecting and utilising crowdsourced data for numerical weather prediction: Propositions from the meeting held in Copenhagen, 4-5 December 2018",
keywords = "citizen science, crowdsourcing, data collection, opportunistic data, quality control, third-party data",
author = "Hintz, {Kasper S.} and Katharine O'Boyle and Dance, {Sarah L.} and Saja Al-Ali and Ivar Ansper and Dick Blaauboer and Matthew Clark and Alexander Cress and Mohamed Dahoui and Ronan Darcy and Juhana Hyrkkanen and Lars Isaksen and Eigil Kaas and Korsholm, {Ulrik S.} and Marion Lavanant and {Le Bloa}, Gwenaelle and Emilie Mallet and Conor McNicholas and Jeanette Onvlee-Hooimeijer and Bent Sass and Valeria Siirand and Henrik Vedel and Waller, {Joanne A.} and Xiaohua Yang",
year = "2019",
month = jul,
day = "2",
doi = "10.1002/asl.921",
language = "English",
volume = "20",
journal = "Atmospheric Science Letters",
issn = "1530-261X",
publisher = "Wiley",
number = "7",
}