Cited by 95Environmental Monitoring and Data ManagementResearch Data Management PracticesClimate variability and models

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

A roadmap to climate data rescue services

Open access

Abstract

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.

Overview

Integrity signals

Registry

Crossref · 10.1002/gdj3.56

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • 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).”
  • 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.”

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 58

  1. 10.5194/cp-8-353-2012 · DOI
  2. 10.1175/2011BAMS3218.1 · DOI
  3. 10.1029/2011EO180008 · DOI
  4. 10.1002/wcc.379 · DOI
  5. 10.1175/JCLI3775.1 · DOI
  6. 10.1002/gdj3.19 · DOI
  7. 10.1007/s00376-016-6189-5 · DOI
  8. 10.5194/essd-10-1613-2018 · DOI
  9. 10.1126/science.1251554 · DOI
  10. 10.1007/978-94-007-6692-1_3 · DOI
  11. Bowyer P., 2014, Adapting to climate change: methods and tools for climate risk management, 124
  12. 10.1038/d41586-018-02201-z · DOI
  13. 10.3354/cr00960 · DOI
  14. 10.1002/gdj3.12 · DOI
  15. 10.1007/s10584-011-0142-5 · DOI
  16. 10.1007/s10584-012-0539-9 · DOI
  17. 10.1007/s10584-017-1931-2 · DOI
  18. 10.1007/978-94-010-0371-1 · DOI
  19. 10.1016/j.agsy.2017.07.010 · DOI
  20. 10.1175/BAMS-87-2-175 · DOI
  21. 10.1002/qj.776 · DOI · Paper page
  22. 10.1002/gdj3.25 · DOI
  23. 10.1002/joc.3709 · DOI
  24. 10.1007/978-90-481-2828-0 · DOI
  25. 10.1002/joc.4775 · DOI
  26. 10.5194/acp-17-1417-2017 · DOI
  27. 10.5194/acp-6-2231-2006 · DOI
  28. 10.1016/j.grj.2015.02.004 · DOI
  29. 10.1016/j.grj.2015.02.012 · DOI
  30. 2013 Cambridge University Press Cambridge UK and New York NY IPCC Stocker T.F. Qin D. Plattner G.‐K. Tignor M. Allen S.K. Boschung J. Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change
  31. 10.1002/(SICI)1097-0088(19990330)19:4<347::AID-JOC363>3.0.CO;2-S · DOI
  32. Jourdain S., 2015, Le sauvetage de données climatologiques anciennes à Météo‐France: De la conservation des documents à la mise à disposition des données, La Météorologie, 8, 47, 10.4267/2042/56598 · DOI
  33. 10.5194/asr-12-57-2015 · DOI
  34. 10.3197/096734018X15137949591963 · DOI
  35. 10.1007/s00382-009-0577-9 · DOI
  36. 10.1038/nj7672-419 · DOI
  37. 10.1029/2018MS001273 · DOI
  38. 10.1016/B978-0-12-416042-2.00002-1 · DOI
  39. 10.3897/biss.2.25766 · DOI
  40. 10.1175/JCLI-D-15-0556.1 · DOI
  41. Posada R., 2018, Cooperation of meteorological services within SASSCAL on improving the management of observed climate data. In: Climate change and adaptive land management in southern Africa – assessments, changes, challenges, and solutions, Revermann R, Krewenka KM, Schmiedel U, Olwoch JM, Helmschrot J, Jürgens N (Eds.), Biodiversity & Ecology, 6, 22
  42. 10.1002/2013JD021393 · DOI
  43. 10.1002/joc.4974 · DOI
  44. 10.1002/wcc.125 · DOI
  45. Siegmund P., 2014, White paper on an International Data Rescue Portal (I‐DARE), 16
  46. 10.1002/gdj3.11 · DOI
  47. 10.1175/BAMS-D-13-00147.1 · DOI
  48. 10.1002/wcc.80 · DOI
  49. 10.1175/BAMS-D-16-0165.1 · DOI
  50. 10.1175/MWR-D-16-0288.1 · DOI
  51. 10.1038/547275a · DOI
  52. 10.1038/ngeo979 · DOI
  53. 10.1002/geo2.39 · DOI
  54. 10.1175/BAMS-D-11-00074.1 · DOI
  55. Wilkinson C., 2016, Report on the Imaging of Historic Ice
  56. 10.1186/s40562-015-0018-z · DOI
  57. 10.1007/s00376-017-7259-z · DOI
  58. WMO, 2016, Guidelines on Best Practices for Climate Data Rescue. WMO‐No. 1182, 30

Cited by

Sorted by citations

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
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
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review