Time Scales of Systematic Errors in a Numerical Weather Forecast.

机译：数值天气预报中系统误差的时间尺度。

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Many numerical model verification systems are handicapped by their inability to separate random errors, defined as scales of motion smaller than the concerned scale, and systematic errors. Random errors may be eliminated by time averaging over a minimum allowable data period. Statistical methods are implemented to determine a minimum data period needed to constitute a time scale within which numerical forecasts errors are truly systematic and not smoothed fields of rapidly varying random errors for a synoptic scale event. Long term or model climatological error patterns of a specific event are compared with randomly determined shorter term error patterns through statistical tests and measures to provide results which indicate a minimum case number needed to sufficiently smooth out unwanted random errors.

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作者
Harr, P. A.;
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年度 1982
页码 1-59
总页数 59
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Weather forecasting; Computer programming; Error analysis; Statistical analysis; Variations; Scaling factors; Synoptic meteorology; Validation; Numerical methods and procedures; Accuracy; Finite difference theory;

机译：天气预报;计算机编程;误差分析;统计分析;变化;比例因子;天气气象学;验证;数值方法和程序;精度;有限差分理论;

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7. A Study of Systematic Errors in A Numerical Weather Prediction Model [O] . Akimasa Sumi, Masao Kanamitsu 1984

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Time Scales of Systematic Errors in a Numerical Weather Forecast.

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