Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 data set

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Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks (2014, methodology): “uk/cru/data/temperature/ and have been collected by Climatic Research Unit (University of East Anglia) in conjunction with the Hadley Centre (at the UK Met Office) (Morice et al., 2012).”
Climate change and European forests: what do we know, what are the uncertainties, and what are the implications for forest management? (2014, background): “Globally, the period of 2001e2010 was 0.477 C above the 1961e1990 mean annual temperature and was 0.217 C warmer than the 1991e2000 decade (Morice et al., 2012).”
Quantifying Progress Across Different CMIP Phases With the ESMValTool (2020, methodology): “Particularly from the second half of the twentieth century onward, the intermodel spreads in all CMIP enselbles are larger than the HadCRUT4 uncertainty estimates and do not narrow down with time.”
The Max Planck Institute Grand Ensemble: Enabling the Exploration of Climate System Variability (2019, background): “Global map representing the frequency of HadCRUT4 (Morice et al., 2012) annually averaged surface temperature observations occurring outside the limits of the MPI-GE spread.”