The spatial structure of monthly temperature anomalies over Australia

Australian Meteorological Magazine

Volumn 49, Issue 4, 2000, Pages 261-276

  Jones, David A ^a   Trewin, Blair ^a  

^a BUREAU OF METEOROLOGY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0034354088     PISSN: 00049743     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (57)

1. Bratseth, A.M. 1986. Statistical interpolation by means of successive corrections. Tellus, 38A, 439-47.
2. Briffa, K.R. and Jones, P.D. 1993. Global surface air temperature variations during the twentieth century: Part 2: Implications for large-scale high-frequency paleoclimatic studies. Holocene, 3, 77-88.
3. Bureau of Meteorology 1998. Climatic survey Gascoyne-Murchison. AusInfo, Canberra, 113pp.
4. Bussières, N. and Hogg, W. 1989. The objective analysis of daily rainfall by distance weighting schemes on a mesoscale grid. Atmos. Ocean, 27, 521-41.
5. Collins, D.A. and Della-Marta, P.M. 1999. Annual climate summary 1998: Australia's warmest year on record. Aust. Met. Mag., 48, 273-83.
6. Conrad, V. and Pollak, L.D. 1962. Methods in climatology. Harvard University Press, Mass., USA, 459pp.
7. Creutin, J.D. and Obled, C. 1982. Objective analyses and mapping techniques for rainfall fields: An objective comparison. Water Resources Res., 18, 413-31.
8. Daley, R. 1993. Atmospheric data analysis. Cambridge University Press, N.Y., U.S.A., 457pp.
9. Easterling, D.R., Horton, B., Jones, P.D., Peterson, T.C., Karl, T.R., Parker, D.E., Salinger, M.J., Razuvayev, V., Plummer, N., Jamason, P. and Folland, C.K. 1997. Maximum and minimum temperature trends for the globe. Science, 277, 364-7.
10. Easterling, D.R. and Peterson, T.C. 1995. A new method for detecting undocumented discontinuities in climatological time series. Int. J. Climatol., 15, 369-77.
11. Elsner, J.B. and Schmertmann, C.P. 1994. Assessing forecast skill through cross validation. Weath. forecasting, 9, 619-24.
12. Franke, R. 1985. Sources of error in objective analysis. Mon. Weath. Rev., 113, 260-70.
13. Freund, J.E. 1988. Modern elementary statistics. Prentice-Hall Int., N.J., USA, 574pp.
14. Gallo, K.P., Owen, T.W., Easterling, D.R. and Jamason, P.F. 1999. Temperature trends of the U.S. historical climatology network based on satellite-designated land use/land cover. Jnl climate, 12, 1344-8.
15. Gandin, L.S. 1963. Objective analysis of meteorological fields. Israeli program for scientific translations, Jerusalem, Israel, 242pp.
16. Hansen, J. and Lebedeff, S. 1987. Global trends of measured surface air temperature. J. geophys. Res., 92D, 13345-72.
17. Hutchinson, M.F. 1991. The application of thin plate smoothing splines to continent wide data assimilation. In: BMRC Res. Rep. No. 27, Bur. Met., Aust., 104-13.
18. Hutchinson, M.F. 1995. Interpolating mean rainfall using thin plate smoothing splines. Int. J. Geog. Inf. Systems, 9, 385-403.
19. Hutchinson, M.F. 1998. Interpolation of rainfall data with thin plate smoothing splines: I Two dimensional smoothing of data with short range correlation. J. of Geog. Inf. and Dec. Ana., 2, 152-67.
20. IPCC 1990. Climate Change, The IPCC scientific assessment. World Meteorological Organization/ United Nations Environmental Programme. Cambridge Univ. Press, Cambridge, U.K., 365pp.
21. IPCC 1996. Climate Change 1995, The second IPCC scientific assessment. World Meteorological Organisation/United Nations Environmental Programme. Cambridge Univ. Press, Cambridge, U.K., 572pp.
22. Jones, D.A. 1999. Characteristics of Australian land surface temperature variability. Theor. Appl. Climatol., 63, 11-31.
23. Jones, D.A. and Simmonds, I. 1993. Time and space spectral analyses of Southern Hemisphere sea level pressure variability. Mon. Weath. Rev., 121, 661-72.
24. Jones, P.D. 1994. Hemispheric surface air temperature variations: A reanalysis and an update to 1993. Jnl climate, 7, 1794-802.
25. Jones, P.D., Osborn, T.J. and Briffa, K.R. 1997. Estimating sampling errors in large-scale temperature averages. Jnl climate, 10, 2548-68.
26. Jones, P.D., Raper, S.C.B., Bradley, R.S., Diaz, H.F., Kelly, P.M. and Wigley, T.M.L. 1986. Northern Hemisphere surface air temperature variations: 1851-1984. J. Clim. Appl. Met., 25, 161-79.
27. Julian, P.R. and Thiébaux, H.J. 1975. On some properties of correlation functions used in optimum interpolation schemes. Mon. Weath. Rev., 103, 605-16.
28. Karl, T.R., Jones, P.D., Knight, R.W., Kukla, G., Plummer, N., Razuvayev, V., Gallo, K.P., Lindesay, J., Charlson, R.J. and Peterson, T.C. 1993. A new perspective on recent global warming: Asymmetric trends of daily maximum and minimum temperature. Bull. Amer. Met. Soc., 74, 1007-23.
29. Karl, T.R., Knight, R.W. and Christy, J.R. 1994. Global and hemispheric temperature trends: Uncertainties related to inadequate spatial sampling. Jnl climate, 7, 1144-63.
30. Keenan, D.W., Davidson, N.E. and Kelly, G.A. 1986. Analysis of screen-level temperature and dew-point in the Australian region. Aust. Met. Mag., 34, 155-61.
31. Koch, S.E., DesJardins, M. and Kocin, P.J. 1983. An interactive Barnes objective map analysis scheme for use with satellite and conventional data. J. Clim. Appl. Met., 22, 1487-1503.
32. Lorenc, A.C. 1986. Analysis methods for numerical weather prediction. Q. Jl. R. met. Soc., 112, 1177-94.
33. Louie, P.Y.T. 1977. Thiessen polygon coefficients by a grid mesh technique. Tech. Memoranda, Environment Canada, 16pp.
34. May, W. 1999. Space-time spectra of the atmospheric intraseasonal variability in the extratropics and their dependency on the El Niño/Southern Oscillation phenomenon: model versus observation. Clim. Dynam., 15, 369-87.
35. Michaelsen, J. 1987. Cross-validation in statistical climate forecast models. J. Clim. Appl. Met., 26, 1589-600.
36. Nicholls, N., Drosdowsky, W. and Lavery, B. 1997. Australian rainfall variability and change. Weather, 52, 66-72.
37. Peixoto, J.P. and Oort, A.H. 1993. Physics of climate. American Inst. of Physics, NY, USA, 520pp.
38. Plummer, N., Lin, Z. and Torok, S. 1995. Trends in the diurnal temperature range over Australia since 1951. Atmos. Res., 37, 79-86.
39. Seaman, R.S. 1982a. A systematic description of the spatial variability of geopotential and temperature in the Australian region. Aust. Met. Mag., 30, 133-41.
40. Seaman, R.S. 1982b. Comments on 'Space and time scales of atmospheric variability'. J. Atmos. Sci., 39, 925-7.
41. Seaman R.S. 1989. Tuning the Barnes objective analysis parameters by statistical interpolation theory. J. Atmos. Ocean. Tech., 6, 993-1000.
42. Seaman, R.S. and Hutchinson M.F. 1985. Comparative real data tests of some objective analysis methods by withholding observations. Aust. Met. Mag., 33, 37-46.
43. Shen, S.S.P., North, G.R. and Kim, K-Y. 1994. Spectral approach to optimal estimation of the global average temperature. Jnl climate, 7, 1999-2007.
44. Thiébaux, H.J. 1975. Experiments with correlation representation for objective analysis. Mon. Weath. Rev., 103, 617-27.
45. Thiébaux, H.J. and Pedder, M.A. 1987. Spatial objective analysis with applications in atmospheric science. Academic Press, London, UK, 299pp.
46. Torok, S.J. and Nicholls, N. 1996. An historical annual temperature dataset for Australia. Aust. Met. Mag., 45, 251-60.
47. Trenberth, K.E., Christy, J.R., and Hurrell, J.W. 1992. Monitoring global monthly mean surface temperatures. Jnl climate, 5, 1405-23.
48. Trewin, B.C. 1999.The development of a high-quality daily temperature data set for Australia, and implications for the observed frequency of extreme temperatures. Proc. Sixth Nat. AMOS Conf., Canberra, ACT, Aust., 87p.
49. Trewin, B.C. and Trevitt, A.C.F. 1996. The development of composite temperature records. Int. J. Climatol., 16, 1227-42.
50. Vinnikov, K.Ya., Groisman, P.Ya. and Lugina, K.M. 1990. Empirical data on contemporary global climate changes (temperature and precipitation). Jnl climate, 3, 662-77.
51. Wahba, G. and Wendelberger, J. 1980. Some new mathematical methods for variational objective analysis using splines and cross validation. Mon. Weath. Rev., 108, 1122-43.
52. Weber, R.O. and Madden, R.A. 1995. Optimal averaging for the determination of global mean temperature: experiments with model data. Jnl climate, 8, 418-430.
53. Wilks, D.S. 1995. Statistical methods in the atmospheric sciences. Int. Geophysical Series, Academic Press, San Diego, USA, 467pp.
54. Wright, W.J., de Hoedt, G., Plummer, N., Jones, D.A. and Chitty, S. 1996. Low frequency climate variability over Australia. Proc. Second Aust. Conf. on Agricultural Met., Brisbane, Aust., 102-6.
55. Yamamoto, R. and Hoshiai, M. 1979. Recent change of the Northern Hemisphere mean surface air temperature estimated by optimum interpolation. Mon. Weath. Rev., 107, 1239-44.
56. Yamamoto, R. and Hoshiai, M. 1980. Fluctuations of the Northern Hemisphere mean surface air temperature during recent 100 years, estimated by optimum interpolation. J. Met. Soc. Japan, 58, 187-93.
57. Zheng, X. and Basher, R. 1995. Thin-plate smoothing spline modeling of spatial climate data and its application to mapping South Pacific rainfalls. Mon. Weath. Rev., 123, 3086-102.