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Processed HadCRUT4 data as used in Jones and Kennedy (2017)

G. S. Jones and J. J. Kennedy, Sensitivity of attribution of anthropogenic near-surface warming to observational uncertainty, Journal of Climate, 2017, DOI: 10.1175/JCLI-D-16-0628.1

Brief description of information provided

100 member realisations sampling the observational uncertainty model of HadCRUT4, an observational dataset of blended land air temperatures and sea surface temperatures. Data are in netcdf format for 1850-2014 period, given as anomalies with respect to 1961-1990 period. Measurement and sampling uncertainty ensemble created following technique described in Jones and Kennedy (2017). N.B. this is not a formal addition to the HadCRUT4 dataset product. Annual means created from monthly fields, requiring at least 8 months of non-missing data to be present to create annual mean at gridpoint. Source data HadCRUT4, [Morice et al., Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: the HadCRUT4 dataset. Journal of Geophysical Research, 2012] version 4.4.0.0, retrieved from http://www.metoffice.gov.uk/hadobs on 29th September 2015.

Data files

HadCRUT4 median, annual means: HadCRUT4.4.0.0_median_ann_1850-2014.nc.gz (size 750kb)
HadCRUT4 bias correction uncertainty ensemble, annual means. Tar file contains 100 gzipped netcdf files: HadCRUT4.4.0.0_Bias_ann_100_1850-2014.tar (size 73Mb)
HadCRUT4 measurement and sampling uncertatinty ensemble, annual means. Tar file contains 100 gzipped netcdf files: HadCRUT4.4.0.0_MeasSamp_ann_100_1850-2014.tar (size 73Mb)
HadCRUT4 bias sampling, measurement and sampling uncertatinty ensemble, annual means. Tar file contains 100 gzipped netcdf files: HadCRUT4.4.0.0_BiasMeasSamp_ann_100_1850-2014.tar (size 73Mb)