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The global historical climate database HCLIM

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dc.contributor.author Lundstad, Elin
dc.contributor.author Brugnara, Yuri
dc.contributor.author Pappert, Duncan
dc.contributor.author Kopp, Jerome
dc.contributor.author Samakinwa, Eric
dc.contributor.author Hurzeler, Andre
dc.contributor.author Andersson, Axel
dc.contributor.author Chimani, Barbara
dc.contributor.author Corrnes, Richard
dc.contributor.author Demaree, Gaston
dc.contributor.author Filipiak, Janusz
dc.contributor.author Gates, Lydia
dc.contributor.author Ives, Gemma L.
dc.contributor.author Jones, Julie M.
dc.contributor.author Jourdain, Sylvie
dc.contributor.author Kiss, Andrea
dc.contributor.author Nicholson, Sharon E.
dc.contributor.author Przybylak, Rajmund
dc.contributor.author Jones, Philip
dc.contributor.author Rousseau, Daniel
dc.contributor.author Tinz, Birger
dc.contributor.author Rodrigo, Fernardo S.
dc.contributor.author Grab, Stefan
dc.contributor.author Dominguez-Castro, Fernando
dc.contributor.author Slonosky, Victoria
dc.contributor.author Cooper, Jason
dc.contributor.author Brunet Manolla
dc.contributor.author Bronnimann, Stefan
dc.date.accessioned 2023-06-16T01:28:50Z
dc.date.available 2023-06-16T01:28:50Z
dc.date.issued 2023
dc.identifier.citation Scientific Data 10, Article number 44 (2023)
dc.identifier.other https://doi.org/10.1038/s41597-022-01919-w
dc.identifier.uri http://repozytorium.umk.pl/handle/item/6881
dc.description Long-term instrumental meteorological series are crucial for the understanding of interannual-to-decadal variations in climate. Analyzed together with model simulations and climate proxies they may provide new insight into underlying climate mechanisms, such as long-lasting droughts, changes in atmospheric circulation, or effects of volcanic eruptions, and may serve as a basis for the generation of more comprehensive data products in reconstruction or data assimilation approaches. Long-term instrumental meteorological series also serve as a reference against which human induced climate change can be compared. For instance, Hawkins et al. (2017) suggested using the period 1720–1800 as a preindustrial reference, but only few records from this period are currently available. We define a record as a meteorological time series with one variable at one location.
dc.description.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.
dc.description.sponsorship European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme grant agreement No 787574 (PALAEO-RA), the Swiss National Science Foundation (project WeaR 188701), Copernicus Climate Change Service (C3S) 311a Lot 1, the Federal Office of Meteorology and Climatology MeteoSwiss in the framework of GCOS Switzerland (project “Long Swiss Meteorological Series, the NCN projects No. DEC 2020/37/B/ST10/00710 and No. 2020/39/B/ST10/00653, the Nicolaus Copernicus University–Emerging field: Global Environmental Changes.
dc.language.iso eng
dc.rights Attribution-NonCommercial-NoDerivs 3.0 Poland
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/pl/
dc.subject historical climatology
dc.subject global climate
dc.subject datasets
dc.subject data rescue
dc.title The global historical climate database HCLIM
dc.type info:eu-repo/semantics/article


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