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The global historical climate database HCLIM

  • Identification data

    Identifier: imarina:9291510
    Handle: http://hdl.handle.net/20.500.11797/imarina9291510
  • Authors:

    Lundstad E
    Brugnara Y
    Pappert D
    Kopp J
    Samakinwa E
    Hürzeler A
    Andersson A
    Chimani B
    Cornes R
    Demarée G
    Filipiak J
    Gates L
    Ives GL
    Jones JM
    Jourdain S
    Kiss A
    Nicholson SE
    Przybylak R
    Jones P
    Rousseau D
    Tinz B
    Rodrigo FS
    Grab S
    Domínguez-Castro F
    Slonosky V
    Cooper J
    Brunet M
    Brönnimann S
  • Others:

    Author, as appears in the article.: Lundstad E; Brugnara Y; Pappert D; Kopp J; Samakinwa E; Hürzeler A; Andersson A; Chimani B; Cornes R; Demarée G; Filipiak J; Gates L; Ives GL; Jones JM; Jourdain S; Kiss A; Nicholson SE; Przybylak R; Jones P; Rousseau D; Tinz B; Rodrigo FS; Grab S; Domínguez-Castro F; Slonosky V; Cooper J; Brunet M; Brönnimann S
    Department: Geografia
    e-ISSN: 2052-4463
    URV's Author/s: Brunet India, Manuela Catalina
    Keywords: canada dataset meteorological observations pressure quebec records series st-lawrence valley weather Air-temperature changes
    Abstract: 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.
    Thematic Areas: Biodiversidade Biotecnología Ciências ambientais Ciencias sociales Computer science applications Education Information systems Library and information sciences Multidisciplinary sciences Statistics and probability Statistics, probability and uncertainty Zootecnia / recursos pesqueiros
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: manola.brunet@urv.cat
    Author identifier: 0000-0002-9386-710X
    Record's date: 2023-04-08
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.nature.com/articles/s41597-022-01919-w
    Papper original source: Scientific Data. 10 (1):
    APA: Lundstad E; Brugnara Y; Pappert D; Kopp J; Samakinwa E; Hürzeler A; Andersson A; Chimani B; Cornes R; Demarée G; Filipiak J; Gates L; Ives GL; Jones J (2023). The global historical climate database HCLIM. Scientific Data, 10(1), -. DOI: 10.1038/s41597-022-01919-w
    Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
    Article's DOI: 10.1038/s41597-022-01919-w
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2023
    Publication Type: Journal Publications
  • Keywords:

    Computer Science Applications,Education,Information Systems,Library and Information Sciences,Multidisciplinary Sciences,Statistics and Probability,Statistics, Probability and Uncertainty
    canada
    dataset
    meteorological observations
    pressure
    quebec
    records
    series
    st-lawrence valley
    weather
    Air-temperature changes
    Biodiversidade
    Biotecnología
    Ciências ambientais
    Ciencias sociales
    Computer science applications
    Education
    Information systems
    Library and information sciences
    Multidisciplinary sciences
    Statistics and probability
    Statistics, probability and uncertainty
    Zootecnia / recursos pesqueiros
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