Evidence map›Paper›PMID 37353567›Full record

ArticleScientific data2023

DOCU-CLIM: A global documentary climate dataset for climate reconstructions.

Angela-Maria Burgdorf, Stefan Brönnimann, George Adamson, Tatsuya Amano, Yasuyuki Aono, David Barriopedro, Teresa Bullón, Chantal Camenisch, Dario Camuffo, Valérie Daux and 23 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Environmental Historical Geographies.Geography compass · 2024
    Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

33 authors.

Angela-Maria BurgdorfInstitute of Geography, University of Bern, Bern, Switzerland.
Stefan BrönnimannInstitute of Geography, University of Bern, Bern, Switzerland. stefan.broennimann@giub.unibe.ch.ORCID http://orcid.org/0000-0001-9502-7991
George AdamsonDepartment of Geography, King's College London, London, UK.
Tatsuya AmanoSchool of Biological Sciences, The University of Queensland, Brisbane, Australia.ORCID http://orcid.org/0000-0001-6576-3410
Yasuyuki AonoGraduate School of Agriculture, Osaka Metropolitan University, Osaka, Japan.ORCID http://orcid.org/0000-0002-6950-4341
David BarriopedroInstituto de Geociencias (IGEO), CSIC-UCM, Madrid, Spain.
Teresa BullónDepartment of Geography, Autonomous University of Madrid (UAM), Madrid, Spain.
Chantal CamenischInstitute of Geography, University of Bern, Bern, Switzerland.
Dario CamuffoNational Research Council-Institute of Atmospheric Sciences and Climate, Corso Stati Uniti 4, Padua, Italy.
Valérie DauxLaboratoire des Sciences du Climat et de l'Environnement, CNRS, CEA, UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.ORCID http://orcid.org/0000-0002-8643-260X
María Del Rosario PrietoArgentine Institute of Nivology, Glaciology and Environmental Sciences (IANIGLA-CONICET), Mendoza, Argentina.
Petr DobrovolnýDepartment of Geography, Faculty of Science, Masaryk University, Brno, Czech Republic.
David GallegoDepartamento de Sistemas Físicos, Químicos y Naturales, Universidad Pablo de Olavide, Seville, Spain.ORCID http://orcid.org/0000-0002-2082-4125
Ricardo García-HerreraDepartamento de Física de la Tierra y Astrofísica, Universidad Complutense, Madrid, Spain.ORCID http://orcid.org/0000-0002-3845-7458
Joelle GergisFenner School of Environment and Society, Australian National University, Canberra, Australia.
Stefan GrabSchool of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, Johannesburg, South Africa.
Matthew J HannafordDepartment of Geography, College of Science, University of Lincoln, Lincoln, UK.
Jari HolopainenNatural Resources Institute Finland, Helsinki, Finland.
Clare KelsoDepartment of Geography, Environmental Management and Energy Studies, University of Johannesburg, Johannesburg, South Africa.
Zoltán KernInstitute for Geological and Geochemical Research, Research Centre for Astronomy and Earth Sciences, Budapest, Hungary.
Andrea KissInstitute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Vienna, Austria.ORCID http://orcid.org/0000-0003-4254-2759
Elaine Kuan-Hui LinResearch Center for Environmental Changes, Academia Sinica, Taipei, Taiwan.
Neil J LoaderDepartment of Geography, Swansea University, Swansea, UK.
Martin MožnýDepartment of Biometeorological Applications, Czech Hydrometeorological Institute, Prague, Czech Republic.
David NashSchool of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, Johannesburg, South Africa.
Sharon E NicholsonDepartment of Earth, Ocean, and Atmospheric Science, Florida State University, Tallahassee, Florida, USA.
Christian PfisterInstitute of Geography, University of Bern, Bern, Switzerland.
Fernando S RodrigoDepartment of Chemistry and Physics, University of Almería, Almería, Spain.ORCID http://orcid.org/0000-0003-4082-4808
This RutishauserOeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland.
Sapna SharmaDepartment of Biology, York University, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0003-4571-2768
Katalin TakácsInstitute for Soil Sciences (TAKI) and Centre for Agricultural Research (ATK), Budapest, Hungary.
Ernesto T VargasNational Museum of Natural Sciences-Spanish Research Council, Madrid, Spain.
Inmaculada VegaDepartamento de Sistemas Físicos, Químicos y Naturales, Universidad Pablo de Olavide, Seville, Spain.

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 787574Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 188701
6 · The paper itself

Abstract

Documentary climate data describe evidence of past climate arising from predominantly written historical documents such as diaries, chronicles, newspapers, or logbooks. Over the past decades, historians and climatologists have generated numerous document-based time series of local and regional climates. However, a global dataset of documentary climate time series has never been compiled, and documentary data are rarely used in large-scale climate reconstructions. Here, we present the first global multi-variable collection of documentary climate records. The dataset DOCU-CLIM comprises 621 time series (both published and hitherto unpublished) providing information on historical variations in temperature, precipitation, and wind regime. The series are evaluated by formulating proxy forward models (i.e., predicting the documentary observations from climate fields) in an overlapping period. Results show strong correlations, particularly for the temperature-sensitive series. Correlations are somewhat lower for precipitation-sensitive series. Overall, we ascribe considerable potential to documentary records as climate data, especially in regions and seasons not well represented by early instrumental data and palaeoclimate proxies.

Identifiers

PMID37353567
PMCPMC10290071

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.