Addressing the World War 2 Warm Anomaly in HadSST.4.2.0.0
Caroline Sandford, Nick Rayner

TL;DR
This paper updates the HadSST.4.2.0.0 dataset to correct residual WW2 warm bias by refining bias estimates and applying new observational corrections, ensuring more accurate sea surface temperature records.
Contribution
It introduces a physically-based correction method for WW2 warm bias in SST datasets, improving the accuracy of HadSST and maintaining dataset independence.
Findings
Successfully removed WW2 warm anomaly using the new correction approach.
Enhanced the dataset's consistency with other SST datasets like ERSSTv6 and COBE-SST3.
Maintained independence from land surface temperature records.
Abstract
We present an update to the Hadley Centre Sea-Surface Temperature dataset (HadSST.4.2.0.0) that addresses residual warm bias during the Second World War (WW2). Using an existing quantitative definition of the WW2 warm anomaly we identify Engine Room Intake (ERI) bias corrections as the dominant factor in this warm bias in HadSST4, and use this to propose new constraints on ERI bias estimates prior to 1950. In addition, we implement corrections for truncation bias in observations from the Japanese Kobe Collection, spanning the period from 1933 to 1961. We evaluate the effects of these changes with respect to the previous version of HadSST and compare with the most recent iterations of other SST datasets including ERSSTv6, COBE-SST3 and DCENT. We show that it is possible to remove the WW2 warm anomaly using a physically-based approach that maintains the independence of HadSST from land…
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