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

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

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 univ...

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Bibliographic Details
Published in:Atmospheric science letters Vol. 20; no. 7
Main Authors: Hintz, Kasper S., O'Boyle, Katharine, Dance, Sarah L., Al‐Ali, Saja, Ansper, Ivar, Blaauboer, Dick, Clark, Matthew, Cress, Alexander, Dahoui, Mohamed, Darcy, Rónán, Hyrkkanen, Juhana, Isaksen, Lars, Kaas, Eigil, Korsholm, Ulrik S., Lavanant, Marion, Le Bloa, Gwenaelle, Mallet, Emilie, McNicholas, Conor, Onvlee‐Hooimeijer, Jeanette, Sass, Bent, Siirand, Valeria, Vedel, Henrik, Waller, Joanne A., Yang, Xiaohua
Format: Journal Article
Language:English
Published: Chichester, UK John Wiley & Sons, Ltd 01-07-2019
John Wiley & Sons, Inc
Wiley
Subjects:
Atmospheric sciences
Bias
citizen science
Crowdsourcing
Data
Data assimilation
Data collection
Datasets
opportunistic data
Privacy
Quality control
Sensors
Smartphones
third‐party data
Vehicles
Weather forecasting
Weather stations
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Summary: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. 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. It was concluded that crowdsourced observations are likely to be useful for NWP. Finally, it is recommended that a platform for sharing thoughts, data and results is worked upon moving forward.
Bibliography:Funding information
Innovation Fund Denmark, Grant/Award Number: 5189‐00042B; UK EPSRC, Grant/Award Number: EP/P002331/1
ISSN:1530-261X
1530-261X
DOI:10.1002/asl.921