STOCHASTIC ANALYSIS AND GENERATION OF MONTHLY AND 14-DAY EVAPORATION DATA
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概要
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In this paper, two hydrometeorological series, namely, monthly and 14-day evaporation data measured at the Hong Kong Royal Observatory King's Park meteorological station were decomposed into their respective constituent components. The dependent stochastic components were represented by Box-Jenkins type Auto Regressive Moving Average (ARMA) models while the independent random components were represented by various probability distribution functions. Synthetic data were generated by carrying out the decomposition procedure in the reverse order and compared with recorded data. The basic statistical characters have been satisfactorily preserved.
- 水文・水資源学会の論文
水文・水資源学会 | 論文
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