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Meteorological data rescue: Citizen science lessons learned from Southern Weather Discovery
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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214331/ https://www.ncbi.nlm.nih.gov/pubmed/35755873 http://dx.doi.org/10.1016/j.patter.2022.100495 |
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author | Lorrey, Andrew M. Pearce, Petra R. Allan, Rob Wilkinson, Clive Woolley, John-Mark Judd, Emily Mackay, Stuart Rawhat, Sudhir Slivinski, Laura Wilkinson, Sally Hawkins, Ed Quesnel, Patrick Compo, Gilbert P. |
author_facet | Lorrey, Andrew M. Pearce, Petra R. Allan, Rob Wilkinson, Clive Woolley, John-Mark Judd, Emily Mackay, Stuart Rawhat, Sudhir Slivinski, Laura Wilkinson, Sally Hawkins, Ed Quesnel, Patrick Compo, Gilbert P. |
author_sort | Lorrey, Andrew M. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9214331 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-92143312022-06-23 Meteorological data rescue: Citizen science lessons learned from Southern Weather Discovery Lorrey, Andrew M. Pearce, Petra R. Allan, Rob Wilkinson, Clive Woolley, John-Mark Judd, Emily Mackay, Stuart Rawhat, Sudhir Slivinski, Laura Wilkinson, Sally Hawkins, Ed Quesnel, Patrick Compo, Gilbert P. Patterns (N Y) Descriptor 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. Elsevier 2022-05-27 /pmc/articles/PMC9214331/ /pubmed/35755873 http://dx.doi.org/10.1016/j.patter.2022.100495 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Descriptor Lorrey, Andrew M. Pearce, Petra R. Allan, Rob Wilkinson, Clive Woolley, John-Mark Judd, Emily Mackay, Stuart Rawhat, Sudhir Slivinski, Laura Wilkinson, Sally Hawkins, Ed Quesnel, Patrick Compo, Gilbert P. Meteorological data rescue: Citizen science lessons learned from Southern Weather Discovery |
title | Meteorological data rescue: Citizen science lessons learned from Southern Weather Discovery |
title_full | Meteorological data rescue: Citizen science lessons learned from Southern Weather Discovery |
title_fullStr | Meteorological data rescue: Citizen science lessons learned from Southern Weather Discovery |
title_full_unstemmed | Meteorological data rescue: Citizen science lessons learned from Southern Weather Discovery |
title_short | Meteorological data rescue: Citizen science lessons learned from Southern Weather Discovery |
title_sort | meteorological data rescue: citizen science lessons learned from southern weather discovery |
topic | Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214331/ https://www.ncbi.nlm.nih.gov/pubmed/35755873 http://dx.doi.org/10.1016/j.patter.2022.100495 |
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