Estimating sea surface temperature measurement methods using characteristic differences in the diurnal cycle

Carella, G.; Kennedy, J.J.; Berry, D.I.; Hirahara, S.; Merchant, C.J.; Morak-Bozzo, S.; Kent, E.C. ORCID: https://orcid.org/0000-0002-6209-4247. 2018 Estimating sea surface temperature measurement methods using characteristic differences in the diurnal cycle. Geophysical Research Letters. https://doi.org/10.1002/2017GL076475

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Abstract/Summary

Lack of reliable observational metadata represents a key barrier to understanding sea surface temperature (SST) measurement biases, a large contributor to uncertainty in the global surface record. We present a method to identify SST measurement practice by comparing the observed SST diurnal cycle from individual ships with a reference from drifting buoys under similar conditions of wind and solar radiation. Compared to existing estimates, we found a larger number of engine room-intake (ERI) reports post–World War II and in the period 1960–1980. Differences in the inferred mixture of observations lead to a systematic warmer shift of the bias adjusted SST anomalies from 1980 compared to previous estimates, while reducing the ensemble spread. Changes in mean field differences between bucket and ERI SST anomalies in the Northern Hemisphere over the period 1955–1995 could be as large as 0.5°C and are not well reproduced by current bias adjustment models.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1002/2017GL076475
ISSN:	00948276
Date made live:	12 Jan 2018 15:07 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/518958

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