Summary
Climatic changes ask for new tools to understand the relationships between atmosphere, vegetation and soil. At the present new methods are made possible by applying technologies as Remote Sensing, Telecomunication, computer science and Geographical Information Systems. Applied climatology investigates the variation in space and time of meteorological parameters relevant for the biological processes in an agroecosystem. The purpose of the work is to build up a methodology to extrapolate the values of maximum and minimum temperature starting from a reference station. This was done by classifying weather types and their relationships with the topographic parameters such as elevation, slope, aspects, valley type, etc. Daily minimum and maximum temperatures are computed from the reference station. Compared with the experimental data they show a good agreement.
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© 1994 Springer Science+Business Media Dordrecht
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Maracchi, G. (1994). Climate Modelling at Different Scales of Space. In: Grasman, J., van Straten, G. (eds) Predictability and Nonlinear Modelling in Natural Sciences and Economics. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-0962-8_10
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DOI: https://doi.org/10.1007/978-94-011-0962-8_10
Publisher Name: Springer, Dordrecht
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