{"title":"Retrieving Estimates of the Storm-Relative Wind Profile From the Vertical Variation of Hydrometeor Size Sorting Signatures","authors":"Scott D. Loeffler","doi":"10.1029/2024JD041175","DOIUrl":null,"url":null,"abstract":"<p>Raindrop fall speed increases with raindrop size. Because larger raindrops fall through a given layer of the atmosphere more quickly compared to smaller raindrops, they spend less time in the layer and, therefore, have less time to be acted on and advected by the storm-relative winds. This results in hydrometeor size sorting which impacts the polarimetric radar variables such as differential reflectivity <span></span><math>\n <semantics>\n <mrow>\n <mfenced>\n <msub>\n <mi>Z</mi>\n <mrow>\n <mi>D</mi>\n <mi>R</mi>\n </mrow>\n </msub>\n </mfenced>\n </mrow>\n <annotation> $\\left({Z}_{DR}\\right)$</annotation>\n </semantics></math> and specific differential phase <span></span><math>\n <semantics>\n <mrow>\n <mfenced>\n <msub>\n <mi>K</mi>\n <mrow>\n <mi>D</mi>\n <mi>P</mi>\n </mrow>\n </msub>\n </mfenced>\n </mrow>\n <annotation> $\\left({K}_{DP}\\right)$</annotation>\n </semantics></math>. Previous work has shown a strong correlation between the mean storm-relative wind in the sorting layer and the separation between regions of enhanced <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mi>Z</mi>\n <mrow>\n <mi>D</mi>\n <mi>R</mi>\n </mrow>\n </msub>\n </mrow>\n <annotation> ${Z}_{DR}$</annotation>\n </semantics></math> and <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mi>K</mi>\n <mrow>\n <mi>D</mi>\n <mi>P</mi>\n </mrow>\n </msub>\n </mrow>\n <annotation> ${K}_{DP}$</annotation>\n </semantics></math> at the bottom of the sorting layer. This study leverages this finding, along with a simple size sorting model, to construct radar-derived estimates of the storm-relative wind profile. The radar-derived “pseudo-hodographs” are well-correlated with the magnitude and direction of the corresponding storm-relative wind profiles. Further, these radar-derived estimates of the storm-relative winds are used to calculate estimates of shear and storm-relative helicity, which also exhibit a strong correlation.</p>","PeriodicalId":15986,"journal":{"name":"Journal of Geophysical Research: Atmospheres","volume":"129 21","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Geophysical Research: Atmospheres","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1029/2024JD041175","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Raindrop fall speed increases with raindrop size. Because larger raindrops fall through a given layer of the atmosphere more quickly compared to smaller raindrops, they spend less time in the layer and, therefore, have less time to be acted on and advected by the storm-relative winds. This results in hydrometeor size sorting which impacts the polarimetric radar variables such as differential reflectivity and specific differential phase . Previous work has shown a strong correlation between the mean storm-relative wind in the sorting layer and the separation between regions of enhanced and at the bottom of the sorting layer. This study leverages this finding, along with a simple size sorting model, to construct radar-derived estimates of the storm-relative wind profile. The radar-derived “pseudo-hodographs” are well-correlated with the magnitude and direction of the corresponding storm-relative wind profiles. Further, these radar-derived estimates of the storm-relative winds are used to calculate estimates of shear and storm-relative helicity, which also exhibit a strong correlation.
雨滴下落速度随雨滴大小而增加。因为与较小的雨滴相比,较大的雨滴在特定大气层中下落的速度更快,所以它们在该大气层中停留的时间更短,因此受到风暴相关风作用和平流的时间也更短。这就导致了水文流星的大小分选,从而影响了偏振雷达变量,如差分反射率 Z D R $\left({Z}_{DR}\right)$ 和比差分相位 K D P $\left({K}_{DP}\right)$ 。以前的工作表明,分选层中的平均风暴相对风与分选层底部的增强 Z D R ${Z}_{DR}$ 和 K D P ${K}_{DP}$ 区域之间的分隔有很强的相关性。本研究利用这一发现以及简单的大小分选模型,构建了雷达得出的风暴相对风廓线估计值。雷达得出的 "伪风速图 "与相应的风暴相对风廓线的大小和方向有很好的相关性。此外,这些雷达得出的风暴相对风估算值还用于计算剪切力和风暴相对切变的估算值,两者也表现出很强的相关性。
期刊介绍:
JGR: Atmospheres publishes articles that advance and improve understanding of atmospheric properties and processes, including the interaction of the atmosphere with other components of the Earth system.