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

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

Publikováno v: Hintz, K S, O'Boyle, K, Dance, S L, Al-Ali, S, Ansper, I, Blaauboer, D, Clark, M, Cress, A, Dahoui, M, Darcy, R, Hyrkkanen, J, Isaksen, L, Kaas, E, Korsholm, U S, Lavanant, M, Le Bloa, G, Mallet, E, McNicholas, C, Onvlee-Hooimeijer, J, Sass, B, Siirand, V, Vedel, H, Waller, J A & Yang, X 2019, ' Collecting and utilising crowdsourced data for numerical weather prediction : Propositions from the meeting held in Copenhagen, 4-5 December 2018 ', Atmospheric Science Letters, vol. 20, no. 7, UNSP e921 . https://doi.org/10.1002/asl.921
Atmospheric Science Letters, Vol 20, Iss 7, Pp n/a-n/a (2019)

In December 2018, the Danish Meteorological Institute organised an international meeting on the subject of crowdsourced data in numerical weather prediction (NWP) and weather forecasting. The meeting, spanning 2 days, gathered experts on crowdsourced

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https://curis.ku.dk/portal/da/publications/collecting-and-utilising-crowdsourced-data-for-numerical-weather-prediction(253c484c-2499-429d-98d4-3c763a5397d2).html