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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
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.
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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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