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題名 | Statistics of 6-hour Forecast Errors Derived from Global Data Assimilation System at the Central Weather Bureau in Taiwan=中央氣象局全球模式6小時預報誤差統計分析 |
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作者姓名(中文) | 洪景山; | 書刊名 | Terrestrial, Atmospheric and Oceanic Sciences |
卷期 | 12:4 2001.12[民90.12] |
頁次 | 頁635-648 |
分類號 | 328.88 |
關鍵詞 | 中央氣象局; 預報誤差; Forecast error; SCSMEX; Mean; Standard deviation; Skewness; Kurtosis; |
語文 | 英文(English) |
英文摘要 | The statistics of 6-hour forecast errors for z, u, and v derived from the global data assimilation system at the Central Weather Bureau in Taiwan are presented. One point moments, including mean, standard deviation, skewness, and kurtosis of the forecast errors, are calculated at radiosonde stations to evaluate the statistical properties and define how close the distribution of the forecast error is to the Gaussian distribution. The degree to which the analyses fit the observation is also examined. The overall evaluations with respect to different domains show that the lower order statistics, mean and standard deviation, are reasonable and comparable to the results of other operational centers. The higher order statistics show that the distributions of the forecast error form an approximate Gaussian distribution. The spatial distribution of the one point moment shows that the mean and standard deviation of forecast errors are sensitive to the orographic effect (e.g., the Tibetan Plateau), the Asia and North American monsoon activities, and the mid-latitude disturbances. The pattern of the mean and standard deviation exhibits large-scale variability, which may be attributed to the background errors and suggest that the model error is dominated by large scales. The skewness and kurtosis have many local extremes, suggesting that observational errors dominate these higher order statistics. |
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