Global Warming Case Study

'Is climate change real or a figment of our imagination?' 'What is the evidence that our planet is warming?'  This case study examines one aspect of the science of meteorology: namely, the measurement of day-to-day local air temperature, the way in which temperature data is compiled and the way it is presented in order for inferences to be drawn about long term trends in climate. The case study was written to strengthen students' skills in graphical presentation and interpretation particularly within years 10-12 of the NSW school curriculum.

Entire Case Study

PDF Microsoft Word
Global Warming- the forest from the trees PDF Microsoft Word
A picture is worth a thousand words? PDF Microsoft word
Long term temperature records PDF Microsoft Word
Measuring the daily maximum and minimum air temperatures PDF Microsoft Word
Different ways of presenting the same data  PDF Microsoft Word
Long term trends in temperature data from different sites PDF Microsoft Word
A graphical analysis of the long term temperature date for Newcastle   PDF Microsoft Word
Comparing temperature anomalies PDF Microsoft Word
Calculation of the annual mean temperatures from the maxima and minima PDF Microsoft Word
Comparison of mean temp anomaly trends for selected rural stations   PDF Microsoft Word
Averaging temperature anomalies for whole regions PDF Microsoft Word
Average temperature anomaly trends in VIC, NSW, QLD PDF Microsoft Word
Global Warming? PDF Microsoft Word
Postscript- The Newcastle High Quality Dataset PDF Microsoft Word
References        PDF Microsoft Word
Guidelines for use of the case in NSW Curriculum   PDF Microsoft Word
Appendix 1(a): Selected meteorological stations in Eastern Australia          PDF Microsoft Word
Appendix 1(b): The desired features of a Reference Climate Station PDF Microsoft Word
Appendix 2: The Measurement of Air Temperature PDF Microsoft Word
Appendix 3: A long term temperature dataset for Australia PDF Microsoft Word
Appendix 4(a): Formation of the Sydney Observatory Hill High Quality Dataset PDF Microsoft Word
Appendix 4(b): Formation of the Mildura Composite Site High Quality Dataset PDF Microsoft Word
Appendix 4(c): Formation of the Boulia Airport High Quality Dataset          PDF Microsoft Word
Appendix 5: Determining the line of best fit by least-squares regression PDF Microsoft Word
Appendix 6: Calculation of anomalies PDF Microsoft Word
Appendix 7:  Calculation of 11-year running means PDF Microsoft Word
Appendix  8:  Thiessen polygons PDF Microsoft Word
Appendix 8(a):  Calculation of the Annual Temperature Anomaly Time Series for Queensland based on data from 7 rural meteorological stations  PDF Microsoft Word
Appendix 9: Formation of the Newcastle High Quality Dataset PDF Microsoft Word