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1998 | 45 | 4 |

Tytuł artykułu

Generowanie dobowych danych meteorologicznych na potrzeby modeli rolniczych

Treść / Zawartość

Warianty tytułu

Języki publikacji

PL

Abstrakty

EN
In the following paper the concept of weather generators producing synthetic meteorological data for use in agronomic models, is presented. A WGEN model that generates daily values of solar radiation, maximum and minimum temperature, and total precipitation was selected to show how the model works. The method was tested by comparing 300-years of generated data with 21 years of observed weather data, recorded for Elora Research Station (Ontario, Canada). Statistical analysis of the data has revealed good correlation between the generated and observed weather data, suggesting that generated daily meteorological data, using the WGEN model, may be successfully used in agricultural modelling.

Wydawca

-

Rocznik

Tom

45

Numer

4

Opis fizyczny

s.41-50,tab.,bibliogr.

Twórcy

autor
  • Akademia Rolnicza, ul.Grunwaldzka 53, 50-357 Wroclaw
autor
autor

Bibliografia

  • [1] Arkin G.F., Maas S.J., Richardson C.W. 1980. Forecasting grain sorghum yield using simulated weather data and updating techniques. Transactions of ASAE 23(3): 676--680.
  • [2] Bond D. C. 1979. Generating daily weather values by computer simulation techniques for crop yield forecasting models, Rep. Research Division, SRS, USDA. Washington D.C.
  • [3] Bruhn J.A., Fry W.E.. Fick G.W. 1980. Simulation of daily weather data using theoretical probability distributions. J. Appl. Meteor. 19: 1029-1036.
  • [4] Geng S., Penning de Vries F.W.T., Supit I. 1985. Analysis and simulation of weather variable. Part II: Temperature and solar radiation. Simulation Report CABO-TT 5.
  • [5] Geng S., Penning de Vries F.W. T., Supit I. 1986. A simple method for generating daily rainf all data. Agric. and For. Meteorol. 36: 363-376.
  • [6] Geng S., Auburn J.S. 1987. Weather simulation models based on summaries of long-term data. IRRI, Manila. Weather and Rice: 237-354.
  • [7] Hansen J.W., Pickering, N.B., Jones, J.W., Wells, C., Chan, H., Godwin. D.C. 1994. Weatherman. In DSSAT v3., Eds. Tsuji G.Y., Uehara G., Balas S. University of Hawaii, Honolulu, Hawaii, Vol. 3-3: 137-200.
  • [8] Hunt L.A. 1994. User's manual for the CROPSIM-WHEAT simulation model: 1994 Version. Dept. of Crop Science Publication No. LAH-02-94, University of Guelph.
  • [9] Larsen G., Pense R. 1982. Stochastic simulation of daily climatic data for agronomic models. Agron. J. 74: 510-514.
  • [10] Matalas N.C. 1967. Mathematical assessment of synthetic hydrology. Water Resources Res. 3(4): 937-945.
  • [11] O'Leary G.J., Connor D.J., White D.H. 1985. A simulation model of the development growth and yield of the wheat crop. Agric. Syst. 17: 1-26.
  • [12] Penning de Vries F.W.T. 1977. Evaluation of simulation models in agriculture and biology: conclusions of workshop. Agricultural Systems 2: 99-107.
  • [13] Rao C.R. 1987. Prediction of future observation in growth curve models. Statistical Science 2: 434-471.
  • [14] Richardson C.W., Wright D.A. 1984. WGEN: A model for generating daily weather Variables. U.S. Department of Agriculture, Agricultural Research Service, ARS-8: 83 ss.
  • [15] Richardson C.W. 1985. Weather simulation for crop management models. Transactiom of ASAE: 28: 1602-1606.
  • [16] de Wit C.T., Penning de Vries F.W.T. 1985. Predictive models in agricultural production. Philosophical Transaction of the Royal Society. London. B.310: 309-315.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

bwmeta1.element.agro-article-1b0415cf-e263-4cd5-9be3-f8ae8957218f
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