Long-term persistence enhances uncertainty about anthropogenic warming of Antarctica
Previous estimates of the strength and the uncertainty of the observed Antarctic temperature trends assumed that the natural annual temperature fluctuations can be represented by an auto-regressive process of first order [AR(1)]. Here we find that this hypothesis is inadequate. We consider the longest observational temperature records in Antarctica and show that their variability is better represented by a long-term persistent process that has a propensity of large and enduring natural excursions from the mean. As a consequence, the statistical significance of the recent (presumably anthropogenic) Antarctic warming trend is lower than hitherto reported, while the uncertainty about its magnitude is enhanced. Indeed, all records except for one (Faraday/Vernadsky) fail to show a significant trend. When increasing the signal-to-noise ratio by considering appropriate averages of the local temperature series, we find that the warming trend is still not significant in East Antarctica and the Antarctic Peninsula. In West Antarctica, however, the significance of the trend is above \(97.4 \,\%\), and its magnitude is between 0.08 and 0.96 °C per decade. We argue that the persistent temperature fluctuations not only have a larger impact on regional warming uncertainties than previously thought but also may provide a potential mechanism for understanding the transient weakening (“hiatus”) of the regional and global temperature trends.
KeywordsTrend significance Long-term persistence Antarctic temperatures
We thank the British Antarctic Survey for providing us with the Reference Antarctic Data for Environmental Research (READER) dataset (www.antarctica.ac.uk/met/READER). We thank S. Colwell and Prof. J. Turner for help with the data and discussions. A.B. and C.F. thank the Deutsche Forschungsgemeinschaft for financial support. C.F. acknowledges funding from the cluster of excellence Climate System Analysis and Prediction (CliSAP). After submitting the manuscript we learnt that our DFA2 results for most of the Antarctic stations are consistent with a recently submitted study by Yuan et al. We are grateful to Naiming Yuan for sending us his article prior to publication.
- Cowtan K, Way RG (2014) Coverage bias in the HadCRUT4 temperature series and its impact on recent temperature trends. Q J R Meteorol Soc. doi: 10.1002/qj.2297
- IPCC, Stocker TF et al (eds) (2013) Climate change 2013: the physical science basis. Contribution of working group I to the fifth assessment report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge and New YorkGoogle Scholar