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Meteorological data rescue: Citizen science lessons learned from Southern Weather Discovery.
- Source :
-
Patterns (New York, N.Y.) [Patterns (N Y)] 2022 May 27; Vol. 3 (6), pp. 100495. Date of Electronic Publication: 2022 May 27 (Print Publication: 2022). - Publication Year :
- 2022
-
Abstract
- Daily weather reconstructions (called "reanalyses") can help improve our understanding of meteorology and long-term climate changes. Adding undigitized historical weather observations to the datasets that underpin reanalyses is desirable; however, time requirements to capture those data from a range of archives is usually limited. Southern Weather Discovery is a citizen science data rescue project that recovered tabulated handwritten meteorological observations from ship log books and land-based stations spanning New Zealand, the Southern Ocean, and Antarctica. We describe the Zooniverse-hosted Southern Weather Discovery campaign, highlight promotion tactics, and replicate keying levels needed to obtain 100% complete transcribed datasets with minimal type 1 and type 2 transcription errors. Rescued weather observations can augment optical character recognition (OCR) text recognition libraries. Closer links between citizen science data rescue and OCR-based scientific data capture will accelerate weather reconstruction improvements, which can be harnessed to mitigate impacts on communities and infrastructure from weather extremes.<br />Competing Interests: The authors declare no competing interests.<br /> (© 2022 The Authors.)
Details
- Language :
- English
- ISSN :
- 2666-3899
- Volume :
- 3
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Patterns (New York, N.Y.)
- Publication Type :
- Academic Journal
- Accession number :
- 35755873
- Full Text :
- https://doi.org/10.1016/j.patter.2022.100495