eCite Digital Repository

Quantifying spread in spatiotemporal changes of upper-ocean heat content estimates: an internationally coordinated comparison


Savita, A and Domingues, CM and Boyer, T and Gouretski, V and Ishii, M and Johnson, GC and Lyman, JM and Willis, JK and Marsland, SJ and Hobbs, W and Church, JA and Monselesan, DP and Dobrohotoff, P and Cowley, R and Wijffels, SE, Quantifying spread in spatiotemporal changes of upper-ocean heat content estimates: an internationally coordinated comparison, Journal of Climate, 35, (2) pp. 851-875. ISSN 0894-8755 (2021) [Refereed Article]

PDF (Published version)

Copyright Statement

Copyright 2021 American Meteorological Society

DOI: doi:10.1175/JCLI-D-20-0603.1


The Earth system is accumulating energy due to human-induced activities. More than 90% of this energy has been stored in the ocean as heat since 1970, with ~64% of that in the upper 700 m. Differences in upper ocean heat content anomaly (OHCA) estimates, however, exist. Here, we use a dataset protocol for 19702008 with six instrumental bias adjustments applied to expendable bathythermograph (XBT) data, and mapped by six research groups to evaluate the spatio-temporal spread in upper OHCA estimates arising from two choices: firstly, those arising from instrumental bias adjustments; and secondly those arising from mathematical (i.e. mapping) techniques to interpolate and extrapolate data in space and time. We also examined the effect of a common ocean mask, which reveals that exclusion of shallow seas can reduce global OHCA estimates up to 13%. Spread due to mapping method is largest in the Indian Ocean and in the eddy-rich and frontal regions of all basins. Spread due to XBT bias adjustment is largest in the Pacific Ocean within 30N30S. In both mapping and XBT cases, spread is higher for 19902004. Statistically different trends among mapping methods are not only found in the poorly-observed Southern Ocean but also on the well-observed Northwest Atlantic. Our results cannot determine the best mapping or bias adjustment schemes but they identify where important sensitivities exist, and thus where further understanding will help to refine OHCA estimates. These results highlight the need for further coordinated OHCA studies to evaluate the performance of existing mapping methods along with comprehensive assessment of uncertainty estimates.

Item Details

Item Type:Refereed Article
Keywords:ocean heat content, bias, interpolation schemes, in situ oceanic observations, uncertainty, oceanic variability, trends
Research Division:Earth Sciences
Research Group:Oceanography
Research Field:Physical oceanography
Objective Division:Environmental Policy, Climate Change and Natural Hazards
Objective Group:Adaptation to climate change
Objective Field:Adaptation to climate change not elsewhere classified
UTAS Author:Savita, A (Mr Abhishek Savita)
UTAS Author:Domingues, CM (Dr Catia Domingues)
UTAS Author:Marsland, SJ (Mr Simon Marsland)
UTAS Author:Hobbs, W (Dr Will Hobbs)
UTAS Author:Dobrohotoff, P (Dr Peter Dobrohotoff)
ID Code:147547
Year Published:2021
Funding Support:Australian Research Council (DP160103130)
Web of Science® Times Cited:3
Deposited By:Australian Antarctic Program Partnership
Deposited On:2021-11-08
Last Modified:2022-10-12
Downloads:5 View Download Statistics

Repository Staff Only: item control page