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Twenty years of high-resolution sea surface temperature imagery around Australia: inter-annual and annual variability

Citation

Foster, SD and Griffin, DA and Dustan, PK, Twenty years of high-resolution sea surface temperature imagery around Australia: inter-annual and annual variability, PLoS ONE, 9, (7) Article e100762. ISSN 1932-6203 (2014) [Refereed Article]


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Copyright Statement

Copyright 2014 Foster et al. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

DOI: doi:10.1371/journal.pone.0100762

Abstract

The physical climate defines a significant portion of the habitats in which biological communities and species reside. It is important to quantify these environmental conditions, and how they have changed, as this will inform future efforts to study many natural systems. In this article, we present the results of a statistical summary of the variability in sea surface temperature (SST) time-series data for the waters surrounding Australia, from 1993 to 2013. We partition variation in the SST series into annual trends, inter-annual trends, and a number of components of random variation. We utilise satellite data and validate the statistical summary from these data to summaries of data from long-term monitoring stations and from the global drifter program. The spatially dense results, available as maps from the Australian Oceanographic Data Network's data portal (http://www.cmar.csiro.au/geonetwork/srv/en/metadata.show? id = 51805), show clear trends that associate with oceanographic features. Noteworthy oceanographic features include: average warming was greatest off southern West Australia and off eastern Tasmania, where the warming was around 0.60 C per decade for a twenty year study period, and insubstantial warming in areas dominated by the East Australian Current, but this area did exhibit high levels of inter-annual variability (long-term trend increases and decreases but does not increase on average). The results of the analyses can be directly incorporated into (biogeographic) models that explain variation in biological data where both biological and environmental data are on a fine scale.

Item Details

Item Type:Refereed Article
Keywords:Australia, ecosystem, global warming, theoretical models, oceans and seas
Research Division:Earth Sciences
Research Group:Oceanography
Research Field:Physical Oceanography
Objective Division:Environment
Objective Group:Climate and Climate Change
Objective Field:Climate and Climate Change not elsewhere classified
Author:Foster, SD (Dr Scott Foster)
ID Code:119423
Year Published:2014
Web of Science® Times Cited:6
Deposited By:Centre for Oceans and Cryosphere
Deposited On:2017-08-01
Last Modified:2017-10-13
Downloads:3 View Download Statistics

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