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A roadmap to climate data rescue services
Open accessAbstract
Quantitative approaches to climate risk management such as mapping or impact modelling rely on past meteorological data with daily or sub‐daily resolution, a large fraction of which have not yet been digitized. Over the last decade or so, a number of projects have contributed to the rescue of some of these data. Here we provide a summary of a survey we have undertaken of several meteorological and climate data rescue projects, in order to identify the needs of climate data rescue services. To make these efforts more sustainable, additional integrated activities are needed. We argue that meteorological and climate data rescue must be seen as a continuous, coordinated long‐term effort. Technical developments (e.g. data assimilation), new scientific questions (e.g. process understanding of extreme events) and new social (e.g. risk assessment, health) or economic (e.g. new renewable energy sources, agriculture and forestry, tourism, infrastructure, etc.) services are highlighting the immense value of data previously neglected or never considered. This continuous effort is currently undertaken by projects of various sizes, structure, funding and staffing, as well as by dedicated programmes, ranging from those within many national weather services down to “grassroots” initiatives. These activities are often not sufficiently coordinated, staffed, or funded at an international level and will benefit considerably from climate data rescue services being established within the Copernicus Climate Change Service (C3S) (https://climate.copernicus.eu/). Open Practices: This article has earned an Open Data badge for making publicly available the digitally‐shareable data necessary to reproduce the reported results. Learn more about the Open Practices badges from the Center for Open Science: https://osf.io/tvyxz/wiki.
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Millions of daily weather records, such as precipitation and temperature records from various stations, are still stored in hard copies within archives.
“In many regions of the world, millions of daily weather records, such as precipitation and temperature records from various stations are still stored in hard copies within archives (e.g. Hawkins et al., 2022, 2023; Brönnimann et al., 2018; Noone et al., 2024).”
From MeteoSaver v1.0: a machine-learning based software for the transcription of historical weather data (2026) · cites this paper as Brönnimann et al., 2018
One of the major challenges in data rescue projects is the transcription process.
“Brönnimann et al. (2018) points out that one of the major challenges in data rescue projects is the transcription process.”
From MeteoSaver v1.0: a machine-learning based software for the transcription of historical weather data (2026) · cites this paper as Brönnimann et al., 2018
Citations
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Cited by
Sorted by citations
MeteoSaver v1.0: a machine-learning based software for the transcription of historical weather data
Muheki, D., Vercruysse, B., Chandrasekar, K. K. T., Verbruggen, C., Birkholz, J. M., Hufkens, K., Verbeeck, H., Boeckx, P., Lampe, S., Hawkins, E., et al. (2026) · Geoscientific Model Development · doi:10.5194/gmd-19-3213-2026 · Cited by 3
Metadata
- Authors
- Brönnimann, S., Brugnara, Y., Allan, R. J., Brunet, M., Compo, G. P., Crouthamel, R. I., Jones, P. D., Jourdain, S., Luterbacher, J., Siegmund, P., Valente, M. A., & Wilkinson, C. W.
- Affiliations
- University of Bern (CH)
- Met Office (GB)
- University of East Anglia (GB)
- Cooperative Institute for Research in Environmental Sciences (US)
- International Environmental Data Rescue Organization (IEDRO) Deale Maryland
- Météo-France (FR)
- Justus-Liebig-Universität Gießen (DE)
- Royal Netherlands Meteorological Institute (NL)
- University of Lisbon (PT)
- Corresponding author
- Brugnara, Yuri
- ORCID
- Venue
- Geoscience Data Journal
- Publisher
- Wiley
- Published
- 2018-06
- Volume
- 5
- Issue
- 1
- Pages
- 28-39
- ISSN
- 2049-6060 (ISSN-L)
- OpenAlex
- W2899266989
- Cited by
- 95
- References
- 2
- Citations by year
- 2026: 8 · 2025: 16 · 2024: 5 · 2023: 11 · 2022: 13 · 2021: 20 · 2020: 10 · 2019: 11 · 2018: 1
- FWCI
- 12.19
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Geoscience Data Journal (publishedVersion, cc-by)
- UEA Digital Repository (University of East Anglia) (submittedVersion, other-oa)
- Rovira & Virgili repository (submittedVersion, cc-by)
- Bern Open Repository and Information System (University of Bern) (submittedVersion, cc-by)
- NOAA Institutional Repository (submittedVersion)
- Open Access CRIS of the University of Bern
- Funders
- European Commission
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (205121_169676)
- Topics
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Environmental Monitoring and Data Management
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Keywords
- climate data rescue, historical weather data, Copernicus Climate Change Service, climate risk management, climate impact modelling, data stewardship, extreme events, National Weather Service
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