Paper Info
Title
Using spatial interpolation to construct a comprehensive archive of Australian climate data
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 on the Internet at http://www.dnr.qld.gov.au/silo. Interpolated surfaces have been computed on a regular 0.05° 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.
Year
DOI
Venue
2001
10.1016/S1364-8152(01)00008-1
Environmental Modelling & Software
Keywords
Field
DocType
Climate,Precipitation,Database,Ground-based data,Interpolation
Longitude,Kriging,Meteorology,Multivariate interpolation,Hydrology,Computer science,Interpolation,Smoothing spline,Missing data,Cross-validation,Grid
Journal
Volume
Issue
ISSN
16
4
1364-8152
Citations 
PageRank 
References 
56
10.66
0
Authors
4
Name
Order
Citations
PageRank
Stephen J. Jeffrey15610.66
John O. Carter26014.37
Keith B. Moodie35610.66
Alan R. Beswick45610.66