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Depositordc.contributorZaenker, Julia
Funderdc.contributor.otherUniversity of Edinburghen_UK
Spatial Coveragedc.coverage.spatialWorlden_UK
Data Creatordc.creatorZaenker, Julia
Data Creatordc.creatorVladis, Nathalie
Date Accessioneddc.date.accessioned2017-04-14T13:10:31Z
Date Availabledc.date.available2017-04-14T13:10:31Z
Citationdc.identifier.citationZaenker, Julia; Vladis, Nathalie. (2017). Feel The Heat - A World Temperature Data Quilt, [image]. University of Edinburgh. EDINA. http://dx.doi.org/10.7488/ds/1998.en
Persistent Identifierdc.identifier.urihttp://hdl.handle.net/10283/2655
Persistent Identifierdc.identifier.urihttp://dx.doi.org/10.7488/ds/1998
Dataset Description (abstract)dc.description.abstractFeel The Heat - A World Temperature Data Quilt is based on the HADCRUT4 dataset of world temperature data. Each row of the quilt represents a year. Each square in a row represents the average world temperature according to a colour code. The gridded data are a blend of the CRUTEM4 land-surface air temperature dataset and the HadSST3 sea-surface temperature (SST) dataset. The dataset is presented as an ensemble of 100 dataset realisations that sample the distribution of uncertainty in the global temperature record given current understanding of non-climatic factors affecting near-surface temperature observations. This ensemble approach allows characterisation of spatially and temporally correlated uncertainty structure in the gridded data, for example arising from uncertainties in methods used to account for changes in SST measurement practices, homogenisation of land station records and the potential impacts of urbanisation. The HadCRUT4 data are neither interpolated nor variance adjusted.en_UK
Dataset Description (TOC)dc.description.tableofcontentsFeel The Heat - A World Temperature Data Quilt is based on the HADCRUT4 Data set of world temperature data and was developed and exhibited for the Data-X exhibition. The deposited data contains image files detailing the planning and production process along with photographic images of the final piece, and a .pdf file providing a description of Feel The Heat - A World Temperature Data Quilt to document the project. The HADCRUT4 Data Set is Available for Download. https://crudata.uea.ac.uk/cru/data/temperature/HadCRUT4-gl.dat Credit goes to: Morice, C.P., J.J. Kennedy, N.A. Rayner, P.D. Jones (2011), Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: the HadCRUT4 dataset, Journal of Geophysical Research, accepteden_UK
Languagedc.language.isoengen_UK
Publisherdc.publisherUniversity of Edinburgh. EDINAen_UK
Sourcedc.sourcehttps://crudata.uea.ac.uk/cru/data/temperature/HadCRUT4-gl.daten_UK
Subjectdc.subjectData-Xen_UK
Subjectdc.subjectHADCRUT4en_UK
Subjectdc.subjectData Realisationen_UK
Subjectdc.subjectGlobal Climateen_UK
Subject Classificationdc.subject.classificationPhysical Sciences::Climatologyen_UK
Titledc.titleFeel The Heat - A World Temperature Data Quilten_UK
Typedc.typeimageen_UK

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  • Data-X
    Data supporting exhibits from the Data-X exhibition

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