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References

  • Bardossy, A., E. J. Plate, Modeling daily rainfall using a semi-Markov representation of circulation pattern occurrence, J. Hydrol., 122, 3347, 1991.
  • Bardossy, A., E. J. Plate, Space-time model for daily rainfall using atmospheric circulation patterns, Water Resour. Res., 285, 12471259, 1992.
  • Bartholy, J., I. Bogardi, I. Matyasovszky, Effect of climate change on regional precipitation in Lake Balaton watershed, Theor. Appl. Climatol., 51, 237250, 1995.
  • Bates, B. C., S. P. Charles, J. P. Hughes, Stochastic downscaling of numerical climate model simulations, Environ. Modell. Software, 133–4, 325331, 1998.
  • Baum, L. E., T. Petrie, G. Soules, N. Weiss, A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains, Ann. Math. Stat., 41, 164171, 1970.
  • Bellone, E., P. Guttorp, J. P. Hughes, A stochastic model for precipitation amounts at multiple stationsSixth International Conference on Precipitation: Predictability of Rainfall at the Various ScalesNatl. Sci. Found. Mauna Lani BayHawaiiJune 29-July 1, 1998.
  • Besag, J. E., Spatial interaction and the statistical analysis of lattice systems, J. R. Stat. Soc., Ser. B, 36, 192236, 1974.
  • Bogardi, I., I. Matyasovszky, A. Bardossy, L. Duckstein, Application of a space-time stochastic model for daily precipitation using atmospheric circulation patterns, J. Geophys. Res., 98, 1665316667, 1993.
  • Crane, R. G., B. C. Hewitson, Doubled CO2 precipitation changes for the Susquehanna basin: Down-scaling from the GENESIS general circulation model, Int. J. Climatol., 18, 6576, 1998.
  • Cressie, N. A. C., Statistics for Spatial Data, 900, John Wiley, New York, 1991.
  • Dempster, A. P., N. M. Laird, D. B. Rubin, Maximum likelihood from incomplete data via the EM algorithm (with discussion), J. R. Stat. Soc., Ser. B, 39, 138, 1977.
  • Enke, W., A. Spekat, Downscaling climate model outputs into local and regional weather elements by classification and regression, Clim. Res., 8, 195207, 1997.
  • Forney Jr., G. D., The Viterbi algorithm, Proc. IEEE, 61, 268278, 1978.
  • Gentilli, J., Australian Climate Patterns, 285, Nelson, Melbourne, 1972.
  • Geyer, C. J., E. A. Thompson, Constrained Monte Carlo maximum likelihood for dependent data, J. R. Stat. Soc., Ser. B, 54, 657699, 1992.
  • Hay, L. E., G. J. McCabe, D. M. Wolock, M. A. Ayers, Simulation of precipitation by weather type analysis, Water Resour. Res., 274, 493501, 1991.
  • Hewitson, B. C., R. G. Crane, Climate downscaling: Techniques and application, Clim. Res., 7, 8595, 1996.
  • Hughes, J. P., P. Guttorp, Incorporating spatial dependence and atmospheric data in a model of precipitation, J. Appl. Meteorol., 3312, 15031515, 1994.
  • Hughes, J. P., P. Guttorp, S. P. Charles, A non-homogeneous hidden Markov model for precipitation occurrence, Appl. Stat., 481, 1530, 1999.
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  • Huth, R., Potential of continental-scale circulation for the determination of local daily surface variables, Theor. Appl. Climatol., 56, 165186, 1997.
  • Kidson, J. W., C. S. Thompson, A comparison of statistical and model-based downscaling techniques for estimating local climate variations, J. Clim., 114, 735753, 1998.
  • Kilsby, C. G., P. S. P. Cowpertwait, P. E. O'Connell, P. D. Jones, Predicting rainfall statistics in England and Wales using atmospheric circulation variables, Int. J. Climatol., 18, 523539, 1998.
  • Kotz, S., N. L. Johnson, Encyclopedia of Statistical Sciences, 6, 758, John Wiley, New York, 1985.
  • Matyasovszky, I., I. Bogardi, A. Bardossy, L. Duckstein, Estimation of local precipitation statistics reflecting climate change, Water Resour. Res., 2912, 39553968, 1993a.
  • Matyasovszky, I., I. Bogardi, A. Bardossy, L. Duckstein, Space-time precipitation reflecting climate change, Hydrol. Sci. J., 386, 539558, 1993b.
  • Mearns, L. O., F. Giorgi, L. McDaniel, C. Shields, Analysis of daily variability of precipitation in a nested regional climate model: Comparison with observations and doubled CO2 results, Global Planet. Change, 10, 5578, 1995.
  • Venables, W. N., B. D. Ripley, Modem Applied Statistics With S-Plus, 462, Springer-Verlag, New York, 1994.
  • Walsh, K. J. E., J. L. McGregor, January and July climate simulations over the Australian region using a limited-area model, J. Clim., 810, 23872403, 1995.
  • Walsh, K. J. E., J. L. McGregor, An assessment of simulations of climate variability over Australia with a limited area model, Int. J. Climatol., 17, 201223, 1997.
  • Wilby, R. L., T. M. L. Wigley, Downscaling general circulation model output: A review of methods and limitations, Prog. Phys. Geogr., 214, 530548, 1997.
  • Wilby, R. L., H. Hassan, K. Hanaki, Statistical downscaling of hydrometeorological variables using general circulation model output, J. Hydrol., 205, 119, 1998.
  • Wilson, L. L., D. P. Lettenmaier, E. F. Wood, Simulation of daily precipitation in the Pacific Northwest using a weather classification scheme, Surv. Geophys., 12, 127142, 1991.
  • Wilson, L. L., D. P. Lettenmaier, E. Skyllingstad, A hierarchical stochastic model of large-scale atmospheric circulation patterns and multiple station daily precipitation, J. Geophys. Res., 97, 27912809, 1992.
  • Wright, P. B., Seasonal rainfall in Southwestern Australia and the general circulation, Mon. Weather Rev., 102, 219232, 1974.
  • Yarnal, B., Synoptic Climatology in Environmental Analysis: A Primer, 195, Belhaven, London, 1993.
  • Zorita, E., J. P. Hughes, D. P. Lettenmaier, H. Von Storch, Stochastic characterization of regional circulation patterns for climate model diagnosis and estimation of local precipitation, J. Clim., 85, 10231042, 1995.