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A model for refining precipitation-type forecasts for winter weather in the Piedmont region of North Carolina on the basis of partial thickness and synoptic weather patterns.

机译:基于部分厚度和天气天气模式,完善北卡罗莱纳州皮埃蒙特地区冬季降水类型预报的模型。

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摘要

Determining precipitation types and intensity of winter weather events in the Piedmont region of North Carolina is difficult for forecasters. Sounding and climatological data along with cyclone and anticyclone characteristics (e.g. pressure, location, and time) from microfilmed surface weather maps are examined for 237 winter weather events at Greensboro, North Carolina over a 37 year period. The data is used to explore precipitation type determination and synoptic (large scale) pattern influence on intensity. A model for predicting precipitation type (i.e. a nomogram) is developed from the sounding and climate data. The tracks of the cyclones and anticyclones are classified and used to characterize the intensity of observed snow, freezing rain and sleet in the study area.
机译:对于预报员来说,很难确定北卡罗来纳州皮埃蒙特地区的降水类型和冬季天气事件的强度。在37年的时间里,对来自微缩地表天气图的测深和气候数据以及气旋和反气旋特征(例如压力,位置和时间)进行了237次冬季天气事件检查。该数据用于探讨降水类型的确定以及天气模式(大尺度)对强度的影响。根据测深和气候数据,开发了一种预测降水类型的模型(即诺模图)。对旋风和反旋风的轨迹进行分类,并用来表征研究区内观测到的雪,冻雨和雨夹雪的强度。

著录项

  • 作者

    Cuviello, Matthew P.;

  • 作者单位

    The University of North Carolina at Chapel Hill.;

  • 授予单位 The University of North Carolina at Chapel Hill.;
  • 学科 Geography.
  • 学位 M.A.
  • 年度 2007
  • 页码 97 p.
  • 总页数 97
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自然地理学;
  • 关键词

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