An empirical investigation into long-term climate change in Australia

Environmental Modelling and Software

Volumn 18, Issue 1, 2003, Pages 59-70

  Lenten, Liam J A ^a   Moosa, Imad A ^a  

^a LA TROBE UNIVERSITY   (Australia)

Author keywords

Climate change; Kalman filter; Structural time series modelling

Indexed keywords

CLIMATE CHANGE; CLIMATOLOGY; GRAPH THEORY; MATHEMATICAL MODELS; MEASUREMENT ERRORS; TIME SERIES ANALYSIS;

AIR TEMPERATURE;

ENVIRONMENTAL ENGINEERING;

CLIMATE CHANGE; KALMAN FILTER; MODELING; TIME SERIES ANALYSIS;

AUSTRALIA;

EID: 0037233106     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1364-8152(02)00036-1     Document Type: Article

References (30)

1. Bloomfield, P., 1992. Trends in global temperature. Climatic Change 21, 1-16.
2. Easterling, D.R., Peterson, T.C., 1995. A new method for detecting undocumented discontinuities in climatological time series. International Journal of Climatology 15, 369-377.
3. Fraser, I., Moosa, I.A., 2001. Demand estimation in the presence of stochastic trends: The case of meat demand in the United Kingdom. American Journal of Agricultural Economics 84, 83-89.
4. Harvey, A.C., 1989. Forecasting, Structural Time Series Models and the Kalman Filter. Cambridge University Press, Cambridge.
5. Harvey, A.C., 1997. Trends, cycles and autoregressions. Economic Journal 107, 192-201.
6. Harvey, A.C., 2001. Testing in unobserved components models. Journal of Forecasting 20, 1-19.
7. Harvey, A.C., Koopman, S.J., 1997. System Dynamics in Economic and Financial Models. Wiley, New York.
8. Harvey, A.C., Souza, R.C., 1986. Assessing and modelling the cyclical behaviour of rainfall in North-East Brazil. Journal of Climate and Applied Meteorology 26, 1317-1322.
9. Judge, G., Ninomiya, Y., 2000. Software review: STAMP 6.0. Economic Journal 110, F720-F738.
10. Kemp, R.A., Armstrong, J.G. 1972. An Investigation of Temperature Trends at Sydney (Observatory Hill) Over All Years of Record, Working Paper 154, Bureau of Meteorology, Canberra.
11. Koopman, S.J., Harvey, A.C., Doornik, J.A., Shephard, N., 2000. Stamp: Structural Time Series Analyser, Modeller and Predictor, Timberlake Consultants Press, London.
12. Kuo, C., Lindberg, C., Bradley, R., 1990. Coherence established between atmospheric carbon dioxide and global temperature. Nature 343, 709-714.
13. Lenten, L.J.A., Moosa, I.A., 1999a. Some evidence on the countercycliality of the trade balance. Applied Economics Letters 6, 359-360.
14. Lenten, L.J.A., Moosa, I.A., 1999b. Modelling the trend and seasonality in the consumption of alcoholic beverages in the United Kingdom. Applied Economics 31, 795-804.
15. Ljung, G.M., Box, G.E.P., 1978. On a measure of lack of fit in time series models. Biometrika 65, 297-303.
16. Moosa, I.A., 1994. The monetary model of exchange rates revisited. Applied Financial Economics 4, 279-287.
17. Moosa, I.A., Baxter, J.L. 2001. Modelling the trend and seasonals within an AIDS model of the demand for alcoholic beverages in the United Kingdom. Journal of Applied Econometrics 17, 95-106.
18. Nicholls, N., Tapp, R., Burrows, K., Richards, D., 1996. Historical thermometer exposures in Australia. International Journal of Climatology 16, 705-710.
19. Oke, T.R., 1973. City size and the urban heat island. Atmospheric Environment 7, 769-779.
20. Oke, T.R., 1982. The energetic basis of the urban heat island. Quarterly Journal of the Royal Meteorological Society 108, 1-24.
21. Schonwiese, C.D., 1994. Analysis and prediction of global climate temperature change based on multiforced observational statistics. Environmental Pollution 83, 149-154.
22. Simmons, I., Keay, K., 1997. Weekly cycle of meteorological variations in Melbourne and the role of pollution and anthropogenic heat release. Atmospheric Environment 31, 1589-1603.
23. Stern, D.I., Kaufmann, R.K., 2000. Is there a global warming signal in hemispheric temperature series? Climatic Change 47, 411-438.
24. Stern, D.I., Kaufmann, R.K. 1997. Time series properties of global climate variables: Detection and attribution of climate change. Working Papers in Ecological Economics Number 9702, Centre for Resource and Environmental Studies, Australian National University, Canberra.
25. Tol, R.S., 1994. Greenhouse statistics: Time series analysis: Part II. Theoretical and Applied Climatology 49, 91-102.
26. Tol, R.S., de Vos, A.F., 1993. Greenhouse statistics: Time series analysis. Theoretical and Applied Climatology 48, 63-74.
27. Torok, S.J., Nicholls, N., 1996. A historical annual temperature dataset for Australia. Australian Meteorological Magazine 45, 251-260.
28. Wickens, M.R., 1996. Interpreting cointegrating vectors and common stochastic trends. Journal of Econometrics 74, 255-271.
29. Woodward, W.A., Gray, H.L., 1995. Selecting a model for detecting the presence of a trend. Journal of Climate 8, 1929-1937.
30. Zhou, S., 2000. Testing structural hypotheses on cointegration relations with small samples. Economic Inquiry 38, 629-640.