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Using WGENK to generate synthetic daily weather data for modelling of agricultural processes

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  • Kuchar, Leszek

Abstract

In the paper, the weather generator WGENK producing synthetic daily data of solar radiation, maximum and minimum temperature, and total precipitation is presented. A WGENK model, modification of WGEN model, introduces annual courses of transition probability, α parameter of Γ distribution, and correlation’s between solar radiation and temperatures described by trigonometric polynomials. The method was tested by comparing statistics of 200 years of generated data with 20 years of observed weather data for five weather stations of southwest of Poland. The absolute correlation errors were decreased about three times in various time period while standard deviation of precipitation has lowered two times compared to original WGEN model; new correlations were examined (at 0.05 level) and accepted in 95% of 2520 tests.

Suggested Citation

  • Kuchar, Leszek, 2004. "Using WGENK to generate synthetic daily weather data for modelling of agricultural processes," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 65(1), pages 69-75.
    • Handle: RePEc:eee:matcom:v:65:y:2004:i:1:p:69-75
    DOI: 10.1016/j.matcom.2003.09.009
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    Cited by:

    1. Schuol, J. & Abbaspour, K.C., 2007. "Using monthly weather statistics to generate daily data in a SWAT model application to West Africa," Ecological Modelling, Elsevier, vol. 201(3), pages 301-311.

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