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Using disdrometer, radar, lightning, and model data to investigate severe thunderstorm microphysics.

机译:使用测速仪,雷达,闪电和模型数据研究严重的雷暴微观物理。

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摘要

Dual-polarization radar, disdrometer, lightning, and model data are analyzed to determine 1) the usefulness and accuracy of disdrometer and attenuation-corrected X-band mobile radar data from severe thunderstorms, 2) the effect of cloud condensation nuclei (CCN) concentration on idealized supercell thunderstorms, and 3) the synoptic weather, dual-polarization radar, and lightning characteristics of Colorado plowable hailstorms.;The results in Chapter 2 demonstrate that the best agreement (1 dB in reflectivity Z and 0.2 dB in differential reflectivity ZDR) between the disdrometer and X-band radar data was obtained when the radar signal quality index (SQI) was at least 0.8 and large hail was not present. Disagreement in Z (ZDR) increased to 6 dB (1.6 dB) and 13 dB (0.6 dB) in large hail and SQI < 0.8, respectively. Since better agreement was obtained under these conditions when the disdrometer measurements were compared to S-band radar data, the X-band attenuation-correction scheme was likely responsible for the disagreement.;In Chapter 3, results from idealized supercell thunderstorm simulations in which the CCN concentration was varied from 100-10 000 cm-3 for several different environmental soundings are presented. Changes in the microphysical process rates saturated at CCN ≈ 3000 cm-3. In heavily polluted conditions (CCN = 10 000 cm-3), supercell thunderstorms formed up to 30% larger rain and 3% larger hail particles, produced up to 25 mm more precipitation near the updraft, and tracked more poleward. The area and size of the cold pool were also sensitive to the CCN concentration, especially when the low-level relative humidity was fairly dry (∼60%).;Chapter 4 analyzes the synoptic weather, radar, and lightning characteristics from four severe thunderstorms that produced "plowable" hail accumulations of 15-60 cm along the Colorado Front Range. Westerly flow at 500 hPa at slow speeds (5-15 m s-1), combined with moist upslope low-level flow, accompanied each hailstorm. The accumulated hail mass derived from the radar data pinpointed the times and locations of deep hail, with estimated hail depths of greater than 5 cm (less than 1.5 cm) in areas with plowable (non-plowable) hail. An increase in lightning flash rate also preceded deep hail accumulations.
机译:分析双极化雷达,测速仪,闪电和模型数据,以确定1)严重雷暴中测速仪和经衰减校正的X波段移动雷达数据的有用性和准确性,2)云凝结核(CCN)浓度的影响3)科罗拉多可犁冰雹的天气,双极化雷达和雷电特征;;第2章的结果表明,最佳一致性(反射率Z为1 dB,差分反射率ZDR为0.2 dB)当雷达信号质量指数(SQI)至少为0.8且没有大冰雹时,获得了在测速仪和X波段雷达数据之间的差值。大冰雹和SQI <0.8时,Z(ZDR)不一致分别增加到6 dB(1.6 dB)和13 dB(0.6 dB)。由于在这些条件下将测速仪的测量结果与S波段雷达数据进行比较可以获得更好的一致性,因此X波段的衰减校正方案可能是导致分歧的原因。在第三章中,理想的超级小区雷暴模拟结果是:针对几种不同的环境探测,CCN的浓度从100-10000 cm-3不等。微物理过程速率的变化在CCN&ap;处达到饱和。 3000厘米3。在严重污染的条件下(CCN = 10000 cm-3),超级单体雷暴形成最多30%的降雨和3%的冰雹粒子,在上升气流附近产生的降水量最多增加25 mm,并向极地追踪。冷池的面积和大小也对CCN浓度敏感,特别是在低水平相对湿度相当干燥(〜60%)时。;第4章分析了四次强雷暴天气的天气,雷达和闪电特征沿科罗拉多前锋山脉产生了15-60厘米的“可耕种”冰雹积聚。每次冰雹伴随着低速(5-15 m s-1)下500 hPa的偏西气流,加上潮湿的高坡低层气流。从雷达数据中得出的累积冰雹质量可精确指出深冰雹的时间和位置,在可耕(不可耕)冰雹地区估计冰雹深度大于5厘米(小于1.5厘米)。雷击闪率的增加也早于冰雹的积累。

著录项

  • 作者

    Kalina, Evan Anthony.;

  • 作者单位

    University of Colorado at Boulder.;

  • 授予单位 University of Colorado at Boulder.;
  • 学科 Atmospheric sciences.;Meteorology.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 153 p.
  • 总页数 153
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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