Regional, national and international climate modeling

• Introduction
• Long term mean climate grids for Canada and the United States
• Historical monthly climate grids for North America
• Daily models
• Climate change scenarios
• Obtain climate estimates at your locations
• Other miscellaneous surfaces
• Bioclimatic Parameter definitions
• Other bioclimatic variables
• References

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References

Craven, P.; Wahba, G. 1979. Smoothing noisy data with spline functions. Numerische Mathematik 31: 377-403.

Elden, L. 1984. A note on the computation of the generalised cross-validation function for ill-conditioned least squares problems. BIT 24:467-472.

Hutchinson, M.F. 1984. A summary of some surface fitting and contouring programs for noisy data. CSIRO Division of Mathematics and Statistics, Consulting Report ACT 84/6. Canberra, Australia.

Hutchinson, M.F. 1989. A new objective method for spatial interpolation of meteorological variables from irregular networks applied to the estimation of monthly mean solar radiation, temperature, precipitation and windrun. CSIRO Division of Water Resources Tech. Memo. 89/5:95-104.

Hutchinson, M.F. 1991a. The application of thin plate smoothing splines to continent-wide data assimilation. In: Jasper JD (ed.) BMRC Research Report No.27, Data Assimilation Systems. Melbourne: Bureau of Meteorology: 104-113.

Hutchinson, M.F. 1991b. Climatic analyses in data sparse regions. In: R.C. Muchow and J.A. Bellamy eds. Climatic Risk in Crop Production, CAB International, 55-71.

Hutchinson, M.F. 1993. On thin plate splines and kriging. In: M.E. Tarter and M.D. Lock eds. Computing and Science in Statistics 25. University of California, Berkeley: Interface Foundation of North America: 55-62.

Hutchinson, M.F.; Gessler, P.E. 1994. Splines-more than just a smooth interpolator. Geoderma 62: 45-67.

Hutchinson, M.F. 1995. Interpolating mean rainfall using thin plate smoothing splines. International Journal of GIS 9: 305-403.

Hutchinson, M.F. 1998a. Interpolation of rainfall data with thin plate smoothing splines: I two dimensional smoothing of data with short range correlation. Journal of Geographic Information and Decision Analysis 2(2): 152-167.  http://www.geodec.org

Hutchinson, M.F. 1998b. Interpolation of rainfall data with thin plate smoothing splines: II analysis of topographic dependence. Journal of Geographic Information and Decision Analysis 2(2): 168-185. http://www.geodec.org/

Hutchinson, M.F.; Bishof, R.J. 1983. A new method for estimating the spatial distribution of mean seasonal and annual rainfall applied to the Hunter Valley, New South Wales. Australian Meteorological Magazine 31: 179-184.

Hutchinson, M.F; Booth, T.H.; Nix, H.A; McMahon, J.P. 1984a. Estimating monthly mean values of daily total solar radiation for Australia. Solar Energy 32: 277-290.

Hutchinson, M.F.; Kalma, J.D.; Johnson, M.E. 1984b. Monthly estimates of wind speed and wind run for Australia. Journal of Climatology 4: 311-324.

Hutchinson, M.F.; de Hoog, F.R. 1985. Smoothing noisy data with spline functions. Numerische Mathematik 47: 99-106.

Hutchinson MF.; Nix H.A.; McMahon J.P. 1992. Climate constraints on cropping systems. pp. 37-58. In: C.J. Pearson ed. Ecosystems of the World, 18 Field Crop Ecosystems. Amsterdam, Elsevier.

Hutchinson, M.F. 1995. Stochastic space-time weather models from ground-based data. Agric.For. Meteorol. 73, 237-264.

Hutchinson, M.F.; Nix, H.A.; McMahon, J.P.; Ord, K.D. 1996. The development of a topographic and climate database for Africa. In:Proceedings of the Third International Conference/Workshop on Integrating GIS and Environmental Modeling, NCGIA, Santa Barbara, California. http://www.ncgia.ucsb.edu/conf/SANTA_FE_CD-ROM/santa_fe.html

Hutchinson, M.F., 1999. ANUSPLIN Version 4.0.http://cres.anu.edu.au/outputs/software.html

Kesteven, J.L.; Hutchinson, M.F. 1996. Spatial modelling of climatic variables on a continental scale. In: Proceedings of the Third International Conference/Workshop on Integrating GIS and Environmental Modeling, NCGIA, Santa Barbara, California.Site regions revisited: a climatic analysis of Hill's site regions for the province of Ontario using a parametric method. Can. J. For. Res. 26: 333-354.

McKenney, D.W.; Kesteven, J.L.; Hutchinson, M.F.; Venier, L. 2001. Canada's plant hardiness zones revisited using modern climate interpolation techniques. Can. J. Plant Science. 81: 139-143.

Price, D.T.; McKenney, D.W.; Nalder, I.A.; Hutchinson, M.F.; Kesteven, J.L. 2000. A comparison of two statistical methods for spatial interpolation of Canadian monthly mean climate data, Agricultural and Forest Meteorology. 101: 81-94

Silverman, B.W. 1985. Some aspects of the spline smoothing approach to nonparametric regression curve fitting (with discussion). Journal Royal Statistical Society Series B 47: 1-52.

Wahba, G. 1979. How to smooth curves and surfaces with splines and cross-validation. Proc. 24th Conference on the Design of Experiments. US Army Research Office 79-2, Research Triangle Park, NC: 167-192.

Wahba, G. 1983. Bayesian confidence intervals for the cross-validated smoothing spline. Journal Royal Statistical Society Series B 45:133-150.

Wahba, G. 1990. Spline Models for Observational Data. CBMS-NSF Regional Conference Series in Applied Mathematics 59, SIAM, Philadelphia, Pennsylvania.

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