SILO constructs its datasets using observational data collected at post-offices, airports, police stations, national parks, private properties etc. This network of recording stations is maintained by the Bureau of Meteorology, and other organisations which contribute data to SILO. The network is constantly evolving and has varied considerably over history. The dynamic nature of the network has significant implications for the quality of SILO’s datasets.
SILO uses interpolation techniques to construct gridded rasters and also to “patch” missing values in point datasets at station locations. The accuracy of the interpolated estimates is strongly dependent on both the number and spatial distribution of the available observations. Consequently, the quality of SILO’s gridded and patched datasets varies as the network evolves. For a quantitative estimation of the interpolation error, users should consult SILO’s primary reference.
The number and location of stations used in the construction of SILO’s gridded datasets is shown below.