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Meteorological data rescue: citizen science lessons learned from Southern Weather Discovery

Lorrey, A. M., Pearce, P. R., Allan, R., Wilkinson, C., Woolley, J.-M., Judd, E., Mackay, S., Rawhat, S., Slivinski, L., Wilkinson, S., Hawkins, E. ORCID:, Quesnel, P. and Compo, G. P. (2022) Meteorological data rescue: citizen science lessons learned from Southern Weather Discovery. Patterns, 3 (6). 100495. ISSN 2666-3899

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To link to this item DOI: 10.1016/j.patter.2022.100495


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.

Item Type:Article
Divisions:Science > School of Mathematical, Physical and Computational Sciences > NCAS
ID Code:106159
Uncontrolled Keywords:optical character recognition, data rescue, Zooniverse, meteorology, citizen science, climate, reanalysis
Publisher:Cell Press


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