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 |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Atmospheric Science
data collection 010504 meteorology & atmospheric sciences Computer science Weather forecasting third‐party data 010502 geochemistry & geophysics Crowdsourcing computer.software_genre 01 natural sciences Meteorology. Climatology citizen science Citizen science quality control third-party data 0105 earth and related environmental sciences Data collection business.industry opportunistic data Subject (documents) Numerical weather prediction Data science Work (electrical) crowdsourcing QC851-999 business computer |
| Zdroj: | 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) |
| Popis: | 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 data from both meteorological institutes and universities from Europe and the United States. Scientific presentations highlighted a vast array of possibilities and progress being made globally. Subjects include data from vehicles, smartphones, and private weather stations. Two groups were created to discuss open questions regarding the collection and use of crowdsourced data from different observing platforms. Common challenges were identified and potential solutions were discussed. While most of the work presented was preliminary, the results shared suggested that crowdsourced observations have the potential to enhance NWP. A common platform for sharing expertise, data, and results would help crowdsourced data realise this potential. |
| Databáze: | OpenAIRE |
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