Abstract
The optimal siting of meteorological stations for use in agrometeorological models is discussed. Analyses were carried out to provide objective criteria for expanding an existing station network. The analyses were based mainly on spatial correlation criteria, which provide optimum spacing based on different levels of association among the parameters. The aim is to suggest for each variable used in agrometeorological models (principally temperature, humidity, precipitation) an index above which stations are redundant and below which the network requires expanding.
Once the spatial reprsentativity of each station and parameter has been established we turn to the problem of optimum siting. Various gain functions are involved, such as distance from the maintenance unit, efficiency and cost of data transmission lines and closeness to farming business or areas considered to be of primary importance because of the input they can provide for the application of agrometeorological models. The results of the study provide a configuration which is capable of monitoring the different meteorological conditions.