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The global temperature trends provided by the Australian Bureau of Meteorology are artificially exaggerated due to subjective and unidirectional adjustments of recorded values. The present paper aims to promote the use of the raw stations' data corrected only for urban heat island formation. The longer temperature records of Australia exhibit significant oscillations with a strong quasi-60 years' signature of downward phases 1880 to 1910, 1940 to 1970 and 2000 to present, and upwards phases 1910 to 1940 and 1970 to 2000. A longer oscillation with downward phase until 1910 and an upwards phase afterwards is also detected. The warming since 1910 occurred at a nearly constant rate. Over the full length of the long Australian records since the end of the 1800s, there is no sign of warming or increased occurrence of extreme events. The monthly highest and mean maximum temperatures do not exhibit any positive trend. The differences between monthly highest and lowest, or monthly mean maximum and mean minimum temperatures, are all reducing because of urban heat island formation. [ABSTRACT FROM AUTHOR]

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This article explores the patterns of political communication surrounding the environmental regulation of major Australian resource projects during the Business Advisory Forum of April 2012. The Forum discussed business and government responses to major project approvals to improve national productivity at a time when these projects also posed significant implications for anthropogenic global warming. The article's method is to examine print news articles published during this period. While the international literature has long demonstrated how the American fossil fuel lobby has employed metaphor to characterise climate change as a 'non-problem'--therefore allegedly making regulation of greenhouse gas emissions economically and politically unnecessary--no Australian study of metaphor use in climate science news has been conducted. This article, in finding news stories on so-called 'green tape' environmental regulation were saturated with metaphor clusters, argues that journalistic metaphor use has made the complex issue of environmental regulation accessible to mass audiences. But, in so doing, we also argue this metaphor use has supported business and government's position on environmental deregulation of major projects. Finally, this article also argues that some journalists' use of metaphors encouraged policy-makers to adopt, and re-use, journalists' own language and, in so doing, allow those journalists to be seen as complicit in the shaping of softer public attitudes to the impact of major projects on anthropogenic climate change. [ABSTRACT FROM AUTHOR]

Climate projection data were applied to two commonly used pome fruit flowering models to investigate potential differences in predicted full bloom timing. The two methods, fixed thermal time and sequential chill-growth, produced different results for seven apple and pear varieties at two Australian locations. The fixed thermal time model predicted incremental advancement of full bloom, while results were mixed from the sequential chill-growth model. To further investigate how the sequential chill-growth model reacts under climate perturbed conditions, four simulations were created to represent a wider range of species physiological requirements. These were applied to five Australian locations covering varied climates. Lengthening of the chill period and contraction of the growth period was common to most results. The relative dominance of the chill or growth component tended to predict whether full bloom advanced, remained similar or was delayed with climate warming. The simplistic structure of the fixed thermal time model and the exclusion of winter chill conditions in this method indicate it is unlikely to be suitable for projection analyses. The sequential chill-growth model includes greater complexity; however, reservations in using this model for impact analyses remain. The results demonstrate that appropriate representation of physiological processes is essential to adequately predict changes to full bloom under climate perturbed conditions with greater model development needed. [ABSTRACT FROM AUTHOR]