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. Hutchinson, M. F. In volume 89/5, of Series: CSIRO Division of Water Resources Technical Memorandum, pages 95–104. CSIRO Australia.
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 [link]Paper  abstract   bibtex   
[Abstract] The use of multi-dimensional Laplacian smoothing splines to reliably estimate a variety of meteorological variables, including monthly mean solar radiation, temperature, precipitation and windrun at regional and continental scales across Australia from irregularly spaced data networks of varying quality is described. The method has implications for network design, and projected further developments include the incorporation of more detailed local physical effects, often relatable to a detailed digital elevation model, with a view to obtaining more robust models. The spatial interpolation of complete simulated daily weather records, taking into account the inter-relations between the various meteorological variables, is also considered. [Significance] The method has implications for network design, and projected further developments include the incorporation of more detailed local physical effects, often relatable to a detailed digital elevation model, with a view to obtaining more robust models. The spatial interpolation of complete simulated daily weather records, taking into account the inter-relations between the various meteorological variables, is also considered.
@incollection{hutchinsonNewObjectiveMethod1989,
  title = {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},
  author = {Hutchinson, M. F.},
  date = {1989},
  volume = {89/5},
  pages = {95--104},
  publisher = {{CSIRO Australia}},
  url = {https://www.researchgate.net/publication/279554756},
  abstract = {[Abstract] The use of multi-dimensional Laplacian smoothing splines to reliably estimate a variety of meteorological variables, including monthly mean solar radiation, temperature, precipitation and windrun at regional and continental scales across Australia from irregularly spaced data networks of varying quality is described. The method has implications for network design, and projected further developments include the incorporation of more detailed local physical effects, often relatable to a detailed digital elevation model, with a view to obtaining more robust models. The spatial interpolation of complete simulated daily weather records, taking into account the inter-relations between the various meteorological variables, is also considered. 

[Significance] The method has implications for network design, and projected further developments include the incorporation of more detailed local physical effects, often relatable to a detailed digital elevation model, with a view to obtaining more robust models. The spatial interpolation of complete simulated daily weather records, taking into account the inter-relations between the various meteorological variables, is also considered.},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-14636864,bioclimatic-predictors,data-transformation-modelling,ecology,environmental-modelling,habitat-suitability,niche-modelling,precipitation,predictor,solar-radiation,spatial-interpolation,temperature,wind},
  series = {Series: {{CSIRO Division}} of {{Water Resources Technical Memorandum}}}
}
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