Long Paddock

Using spatial interpolation to construct a comprehensive archive of Australian climate data

Environmental Modelling & Software 16 (2001) 309–330

Stephen J. Jeffrey, John O. Carter, Keith B. Moodie, Alan R. Beswick
January 2001

Abstract

A comprehensive archive of Australian rainfall and climate data has been constructed from ground-based observational data. Continuous, daily time step records have been constructed using spatial interpolation algorithms to estimate missing data. Datasets have been constructed for daily rainfall, maximum and minimum temperatures, evaporation, solar radiation and vapour pressure. Datasets are available for approximately 4600 locations across Australia, commencing in 1890 for rainfall and 1957 for climate variables. The datasets can be accessed from SILO. Interpolated surfaces have been computed on a regular 0.05 degree grid extending from latitude 10° S to 44° S and longitude 112° E to 154° E. A thin plate smoothing spline was used to interpolate daily climate variables, and ordinary kriging was used to interpolate daily and monthly rainfall. Independent cross validation has been used to analyse the temporal and spatial error of the interpolated data. An Internet based facility has been developed which allows database clients to interrogate the gridded surfaces at any desired location.

The full document may be found at Elsevier Science Ltd.

Last updated 22 February 2015

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