Abstract
The task of estimating the meteorological profile of any location of interest within a specified area is undertaken. Assuming that the meteorological profiles of a sufficient number of representative reference locations within the specified area are available, the proposed methodology is based on (a) the organisation of the meteorological profiles of the reference locations employing a self-organising map (SOM) and (b) the classification of the most salient morphological characteristics of the reference locations. Subsequently, the meteorological profile of any novel location of interest is approximated by a weighted average of the meteorological profiles represented on the SOM for those reference locations whose morphological characteristics most closely match the morphological characteristics of the location of interest. The proposed methodology is evaluated by comparing the accuracy of meteorological profile estimation with that of existing estimation techniques as well as with the actual meteorological profiles of the locations of interest.
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Tambouratzis, T. (2005). SOM-Based Estimation of Meteorological Profiles. In: Ribeiro, B., Albrecht, R.F., Dobnikar, A., Pearson, D.W., Steele, N.C. (eds) Adaptive and Natural Computing Algorithms. Springer, Vienna. https://doi.org/10.1007/3-211-27389-1_41
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DOI: https://doi.org/10.1007/3-211-27389-1_41
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-24934-5
Online ISBN: 978-3-211-27389-0
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