Collecting and utilising crowdsourced data for numerical weather prediction: Propositions from the meeting held in Copenhagen, 4-5 December 2018
Research output: Contribution to journal › Journal article › peer-review
Documents
- Hintz_et_al-2019-Atmospheric_Science_Letters
Final published version, 519 KB, PDF document
Original language | English |
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Article number | UNSP e921 |
Journal | Atmospheric Science Letters |
Volume | 20 |
Issue number | 7 |
ISSN | 1530-261X |
DOIs | |
Publication status | Published - 2 Jul 2019 |
- citizen science, crowdsourcing, data collection, opportunistic data, quality control, third-party data
Research areas
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ID: 226216758