Timeseries of HadCRU_MLE_v1.0 are also available as text files. These timeseries include estimates of global mean surface temperature anomalies, estimates of the impact of sea ice bias on the global mean surface temperature anomaly, and estimates of the impact of an internal variability pattern on the global mean surface temperature anomaly. Estimates are available for each month and year from 1850 to 2018. Due to the maximum likelihood estimation approach, the estimated timeseries are temporally complete for the entire time period. Estimated temperature anomalies include the impact of the internal variability pattern as well as corrections for amplification bias and sea ice bias. The internal variability pattern corresponds well to the El Niño Southern Oscillation. Amplification bias is caused by not adequately accounting for the tendency of different regions of the planet to warm at different rates. Sea ice bias is caused by not adequately accounting for changes in sea ice coverage during the instrumental period.
[ Derived from parent entry - See data hierarchy tab ]
Calvert, Bruce T. T. (2021). Maximum Likelihood Estimates of Temperatures using Data from the Hadley Centre and the Climate Research Unit (Version 1.0). World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/HadCRU_MLE_v1