Identifying Representative Days In Synoptic Climatology Studies
Price
Free (open access)
Transaction
Volume
74
Pages
10
Published
2004
Size
555 kb
Paper DOI
10.2495/AIR040091
Copyright
WIT Press
Author(s)
A. Sfetsos, C. Mita, N. Gounaris & D. Vlachogiannis
Abstract
This paper introduces a methodology for the determination of weather types and their representative days for a specific location. Observed as well as model derived information are used to identify groups of days that have common characteristics. The proposed approach consists of a rotated principal component analysis (r-PCA) module and the subtractive clustering algorithm. For the purposes of this study, this methodology was applied on an area of 280,000 km2 between the SW coast of Norway and the Shetland Islands. Using two years worth of data from the Norwegian Meteorological Institute (DNMI) operational forecasting model, ten representative days were identified. The examination of the transitional probability showed high probability of
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