Comparison of in situ and satellite sea surface-temperature data from South Australia and Tasmania: how reliable are satellite data as a proxy for coastal temperatures in temperate southern Australia?
B. Stobart A D , S. Mayfield B , C. Mundy B , A. J. Hobday C and J. R. Hartog C
+ Author Affiliations
- Author Affiliations
A South Australian Research and Development Institute; SARDI Aquatic Sciences, PO Box 1511, Port Lincoln, SA 5606, Australia.
B Institute for Marine and Antarctic Studies, Private Bag 49, Hobart, Tas. 7001, Australia.
C CSIRO Oceans and Atmosphere Flagship, Hobart, Tas. 7000, Australia.
D Corresponding author. Email: ben.stobart@sa.gov.au
Marine and Freshwater Research 67(5) 612-625 https://doi.org/10.1071/MF14340
Submitted: 28 October 2014 Accepted: 2 March 2015 Published: 6 August 2015
Abstract
Satellite sea-surface temperature (SST) is widely used for biological modelling and ecological studies, assuming it represents subsurface in situ temperature (IST). We tested this assumption at 32 coastal sites in southern Australia, spanning a wide geographic range. Annual IST regimes are described and were demonstrated to be highly correlated with SST. Mean annual daily temperature differences between SST and IST (DTD) were generally small, varying spatially and seasonally (range 0–1°C). No correlation between DTDs and a range of site attributes was found, indicating the importance of site-specific factors. Seasonal DTDs were not geographically consistent, being higher in South Australia during the summer (mean 1.4°C) than in Tasmania (mean 0.5°C). Generally, small annual mean DTDs justify using SST for broad-scale ecological and climate-change studies, although considerable DTDs at some sites suggest that using SST at smaller spatial and temporal scales is unlikely to be appropriate. In addition, SST data lack information on daily temperature fluctuation that may be biologically relevant. Excepting South Australia, where spatially consistent summer DTDs would allow a correction factor, this site-specific variation is hard to correct. In spite of this, studies that rely on SST should consider the implications of such variation on the level of certainty associated with temperature-based predictions.
Additional keywords: climate change, in situ temperature, latitudinal temperature variation, satellite-derived sea-surface temperature, temperature fluctuation.
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