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Quantitative precipitation forecasting of wintertime storms in the Sierra Nevada: Sensitivity to the microphysical parameterization.

机译:内华达山脉冬季暴雨的定量降水预报:对微物理参数化的敏感性。

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摘要

In this study, Quantitative Precipitation Forecasting (QPF) skill of PSU/NCAR Mesoscale Model MM5 was examined for the wintertime storms documented during the SCPP experiment in the 1980's, and the sensitivity of that skill to the choice of microphysical parameterization and horizontal resolution. The results show a tendency of existing microphysical schemes in MM5 to produce over-prediction of precipitation on both windward and lee slopes of the Sierra Nevada. The QPF skill is not simply improved by increasing the horizontal resolution. The QPF skill is on average better on the windward than on the lee side of the Sierra Nevada. Testing the statistical significance of the differences in the skill scores for different schemes shows that the differences are not statistically significant. Based on the skill scores and accuracy measures, the scheme developed by Reisner performed better than other schemes on both sides of the mountain range.
机译:在这项研究中,检查了PSU / NCAR中尺度模型MM5的定量降水预报(QPF)技术,以研究1980年代SCPP实验期间记录的冬季风暴,以及该技术对选择微物理参数化和水平分辨率的敏感性。结果表明,MM5中现有的微物理方案趋向于对内华达山脉的迎风坡和背风坡产生过高的降水量预测。通过提高水平分辨率,不能简单地提高QPF技能。 QPF技能在上风方面比内华达山脉的后风方面要好得多。测试不同方案的技能得分差异的统计显着性表明,差异在统计上并不显着。根据技能得分和准确性度量,Reisner开发的方案在山脉两边的性能均优于其他方案。

著录项

  • 作者

    Vellore, Ramesh K.;

  • 作者单位

    University of Nevada, Reno.;

  • 授予单位 University of Nevada, Reno.;
  • 学科 Physics Atmospheric Science.
  • 学位 M.S.
  • 年度 2003
  • 页码 86 p.
  • 总页数 86
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 大气科学(气象学);
  • 关键词

  • 入库时间 2022-08-17 11:45:58

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