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Before using the data, it is recommended that you read the papers (part I and part II) which describe the data set. There is also a list of Frequently Asked Questions, which may be of some help.
HadSST.3.1.1.0 is the version of HadSST.3 used in the HadCRUT.4.3.0.0 dataset. See HadSST.3.1.1.0 release notes for more details. Earlier versions are HadSST.3.0.0.0 and HadSST.3.1.0.0 are also available.
Each of the following files is a zip archive containing ten realisations of the HadSST3 data set. There are 100 realisations in total. The realisations span uncertainties due to biases only. Measurement and sampling uncertainties (see part 1 of the HadSST3 paper) are found in a separate file (see above).
For each realisation of the anomalies there is a corresponding climatological average for the period 1961-1990. Zip archives contain ten realisations of the HadSST3 Climatology data set. There are 100 realisations in total. The realisations span uncertainties due to biases in the climatology only.
Bear in mind that the unadjusted SST anomalies contain significant uncompensated biases and should not be used for climate trend analyses. Data format.
Each of the following files is a zip archive containing ten realisations of the HadSST3 data set. There are 100 realisations in total. The realisations span uncertainties due to biases only. Measurement and sampling uncertainties (see part 1 of the HadSST3 paper) are found in a separate file.
For each realisation of the anomalies there is a corresponding climatological average for the period 1961-1990. Zip archives contain ten realisations of the HadSST3 Climatology data set. There are 100 realisations in total. The realisations span uncertainties due to biases in the climatology.
Bear in mind that the unadjusted SST anomalies contain significant uncompensated biases and should not be used for climate trend analyses.
The following files contain 100 ensemble members which sample all uncertainties - resiudal bias errors, measurement errors as well as coverage and sampling errors - represented in the HadSST.3.1.1.0 error model. These time series were developed for use in Betts et al. 2016.
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