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Global synchrony of an accelerating rise in sea surface temperature

Published online by Cambridge University Press:  02 July 2012

Philip C. Reid*
Affiliation:
Sir Alister Hardy Foundation for Ocean Science (SAHFOS), The Laboratory, Citadel Hill, The Hoe, Plymouth PL1 2PB, UK Marine Institute, Plymouth University (MIPU), Drake Circus, Plymouth PL4 8AA, UK Marine Biological Association of the United Kingdom (MBA), The Laboratory, Citadel Hill, Plymouth PL1 2PB, UK
Grégory Beaugrand
Affiliation:
Centre National de la Recherche Scientifique, Laboratoire d'Océanologie et de Géosciences (LOG), UMR 8187 LOG, Université des Sciences et Technologies de Lille, BP 80, 62930 Wimereux, France
*
Correspondence should be addressed to: P.C. Reid, SAHFOS, The Marine Laboratory, Citadel Hill, The Hoe, Plymouth PL1 2PB, UK email: pcre@sahfos.ac.uk
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Abstract

The oceans have shown a recent rapid and accelerating rise in temperature with, given the close link between temperature and marine organisms, pronounced effects on ecosystems. Here we describe for the first time a globally synchronous pattern of pulsed short period (~1 year long) emanations of warm sea surface temperature anomalies from tropical seas towards the poles on the shelf/slope with an intensification of the warming after the 1976/1977, 1986/1987 and 1997/1998 El Niños. On the eastern margins of continents the anomalies propagate towards the poles in part by largely baroclinic boundary currents, reinforced by regional atmospheric warming. The processes contributing to the less continuous warm anomalies on western margins are linked to the transfer of warmth from adjacent western boundary currents. These climate induced events show a close parallelism with the timing of ecosystem changes in shelf seas, important for fisheries and ecosystem services, and melting of sea-ice.

Information

Type
Research Article
Copyright
Copyright © Marine Biological Association of the United Kingdom 2012
Figure 0

Fig. 1. Principal component analysis of global sea surface temperature (January 1960–December 2008): (A) first normalised eigenvector (left) and associated principal component (right); (B) second normalised eigenvector (left) and associated principal component (right); (C) third normalised eigenvector (left) and associated principal component (right); (D) fourth normalised eigenvector (left) and associated principal component (right); normalised eigenvectors reveal the correlation of sea surface temperature with the corresponding principal component for each geographical cell.

Figure 1

Fig. 2. Maps of the 10 geographical areas for which long-term changes in latitudinal sea surface temperature anomalies were calculated, showing the bathymetry of the shelf and slope to ~3000 m.

Figure 2

Table 1. Correlations between the first three principal components calculated from a principal component analysis performed on latitudinal sea surface temperature changes over the continental shelf and shelf-edge of 10 geographical regions of the world (Figures 1 & 3) and a selection of large-scale hydro-climatological indices (1960–2008) (see Figure 4). Bold numbers indicate significant correlations at P < 0.10 (*), P < 0.01(**) and P < 0.001(***). Probabilities were corrected for temporal autocorrelation. PC1–PC3, first to third principal components; HadSST2, Hadley sea surface temperature; CRUTEM3, Hadley land surface temperature anomalies; HadCRUT3, Hadley land and sea combined temperature anomalies; PC1 to PC4 SST GLO, first to fourth principal components from an analysis of global sea surface temperature (see Figure 2); SOI Darwin, Southern Oscillation Index based on sea level pressure in Darwin; SOI Tahiti, Southern Oscillation Index based on sea level pressure in Tahiti; MEI, multivariate ENSO Index; PDO, Pacific Decadal Oscillation; NPGO, North Pacific Gyre Oscillation; SASMI, South Asian Summer Monsoon Index; NAO, winter (December to March) North Atlantic Oscillation Index; AO, Arctic Oscillation Index; AGI, Atlantic Gyre Index; AMO, Atlantic Multidecadal Oscillation; AAO, Antarctic Oscillation Index (1979–2008).

Figure 3

Fig. 3. Long-term changes in latitudinal sea surface temperature anomalies for the period 1960–2008 over continental oceanic areas shallower than ~3000 m: (A) north-west Pacific; (B) north-east Pacific; (C) Australia; (D) south-east Pacific; (E) north-west Atlantic; (F) north-east Atlantic; (G) south-west Atlantic; (H) south-east Atlantic; (I) west Indian Ocean; (J) north Indian Ocean.

Figure 4

Fig. 4. Principal component analysis of long-term changes in latitudinal sea surface temperature anomalies over continental oceanic areas shallower than ~3000 m (1960–2008): (A) long-term changes in the first principal component (in blue; 57.2% of the total variance) with respect to global land and sea temperature anomalies (in red); (B) long-term changes in the second principal component (in blue; 15.7% of the total variance) against the multivariate ENSO Index (in red); (C) long-term changes in the third principal component (in blue; 7.4% of the total variance) in relation to the Atlantic Gyre Index (in red). The explanatory variables were selected on the basis of the correlation analyses (see Table 1).