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The verification of weather forecasts compared to numerical model guidance, climatology, human forecasts and seasonal variations

机译:与数值模型指南,气候学,人类预报和季节变化相比,对天气预报的验证

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摘要

The accuracy of weather forecasts has been a topic of discussion for many years, and a simple but useful method for showing forecast accuracy has been an issue for meteorologists over time. My study on the comparison of meteorological computer forecast models coupled with climatology data and a human produced forecast (from meteorologists at KOMU-TV, Columbia, MO) produced some interesting results. Not surprisingly, the computer models and human produced forecasts were, by far, more accurate than the climatology forecasts, but when I compared all of the data and results with the seasonality variance of temperature data, the outcome was more interesting. Essentially, all forecasts and outcomes had distinct seasonal variability. Some of the more surprising findings were that in seasons with large variability, the computer modeling did a decent job at producing an accurate forecast. It is my hope that the findings in this research will instill more confidence in a human produced forecast and forecasters can determine which computer model has a better handle on seasonal variance based on the model physics.
机译:天气预报的准确性多年来一直是讨论的话题,随着时间的推移,一种简单而有用的方法来显示天气预报的准确性已成为气象学家的问题。我对气象计算机预报模型与气候数据和人为预报(来自密苏里州哥伦比亚市KOMU-TV的气象学家)的比较的研究产生了一些有趣的结果。毫不奇怪,到目前为止,计算机模型和人工产生的预报要比气候预报更为准确,但是当我将所有数据和结果与温度数据的季节性变化进行比较时,结果会更加有趣。本质上,所有的预测和结果都有明显的季节性变化。一些更令人惊讶的发现是,在多变的季节中,计算机建模在产生准确的预测方面做得不错。我希望这项研究的结果能给人为预报带来更多信心,并且预报员可以基于模型物理学来确定哪种计算机模型可以更好地处理季节性变化。

著录项

  • 作者

    Aldrich, Eric Michael.;

  • 作者单位

    University of Missouri - Columbia.;

  • 授予单位 University of Missouri - Columbia.;
  • 学科 Atmospheric sciences.;Meteorology.
  • 学位 M.S.
  • 年度 2011
  • 页码 51 p.
  • 总页数 51
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:44:46

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