The global historical climate database HCLIM.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
19 01 2023
19 01 2023
Historique:
received:
14
06
2022
accepted:
19
12
2022
entrez:
19
1
2023
pubmed:
20
1
2023
medline:
24
1
2023
Statut:
epublish
Résumé
There is a growing need for past weather and climate data to support science and decision-making. This paper describes the compilation and construction of a global multivariable (air temperature, pressure, precipitation sum, number of precipitation days) monthly instrumental climate database that encompasses a substantial body of the known early instrumental time series. The dataset contains series compiled from existing databases that start before 1890 (though continuing to the present) as well as a large amount of newly rescued data. All series underwent a quality control procedure and subdaily series were processed to monthly mean values. An inventory was compiled, and the collection was deduplicated based on coordinates and mutual correlations. The data are provided in a common format accompanied by the inventory. The collection totals 12452 meteorological records in 118 countries. The data can be used for climate reconstructions and analyses. It is the most comprehensive global monthly climate dataset for the preindustrial period so far.
Identifiants
pubmed: 36658229
doi: 10.1038/s41597-022-01919-w
pii: 10.1038/s41597-022-01919-w
pmc: PMC9851593
doi:
Types de publication
Dataset
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
44Subventions
Organisme : Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation)
ID : 188701
Organisme : EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council)
ID : 787574
Informations de copyright
© 2023. The Author(s).
Références
Sci Data. 2017 Jun 06;4:170076
pubmed: 28585926
Sci Data. 2017 Nov 14;4:170169
pubmed: 29135974
Geosci Data J. 2022 Jun;9(1):89-107
pubmed: 35873191