Zaenker, 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.
Feel 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.