Applications of the MVWG multivariable stochastic weather generator

Nándor Fodor, Ildikó Dobi, János Mika, László Szeidl

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number571367
JournalThe Scientific World Journal
Volume2013
DOIs
Publication statusPublished - Aug 19 2013

    Fingerprint

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Environmental Science(all)

Cite this