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The Scientific World JournalVolume 2013 2013, Article ID 571367, 6 pages

Research Article

Agricultural Institute, Centre for Agricultural Research, HAS, Brunszvik street 2, Martonvásár 2462, Hungary

Hungarian Meteorological Service, Kitaibel Pál street 1, Budapest 1024, Hungary

Eszterházy Károly College, Department of Geography, Eszterházy square 1, Eger 3300, Hungary

Óbuda University, 96-B Bécsi street, Budapest 1034, Hungary

Received 29 April 2013; Accepted 10 July 2013

Academic Editors: J. Koch and M. M. Miglietta

Copyright © 2013 Nándor Fodor et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Weather generators WG became significant modules of crop models and decision support systems in the past decade. Using a large meteorological database from North America; two basic problems, related to the applicability of WGs in case of short or lacking data series, were investigated in the framework of the Multivariable weather generator MVWG. First, the minimum data series length, required for adequate parameterization of the WG, was determined. Our results suggest that 15 years of observed data are enough for adequate parameterization of the MVWG. We then investigated a possibility of spatial interpolation of WG parameters using the outputs of the WG for sites with no meteorological observations. Coupled with the presented interpolation technique, MVWG was able to generate realistic weather data for sites with no measurements situated in climatically and geographically homogeneous regions.

Autor: Nándor Fodor, Ildikó Dobi, János Mika, and László Szeidl



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