Radar Reflectivity–Based Estimates of Mixed Layer Depth

Author:

Heinselman P. L.1,Spencer P. L.1,Elmore K. L.1,Stensrud D. J.2,Hluchan R. M.3,Burke P. C.4

Affiliation:

1. Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, Oklahoma; NOAA/OAR/National Severe Storms Laboratory, Norman, Oklahoma

2. NOAA/OAR/National Severe Storms Laboratory, Norman, Oklahoma

3. School of Meteorology, University of Oklahoma, Norman, Oklahoma

4. NOAA/National Weather Service, Norman, Oklahoma

Abstract

Abstract This study investigates the potential for estimating mixed layer depth by taking advantage of the radial gradients in the radar reflectivity field produced by the large vertical gradients in water vapor mixing ratio that are characteristic of the mixing height. During the day, this relationship often results in a ring of maximum reflectivity observed to progress radially outward from the radar as mixed layer depth increases. A comparison of mixed layer depths estimated from the Oklahoma City WSR-88D (KTLX) with those estimated from a nearby 915-MHz profiler reveals that mixed layer depths from the WSR-88D are slightly too high (up to 0.3 km) during the first three hours of the diurnal cycle, nearly unbiased midday, and slightly too low (0.2 km or less) thereafter. The procedure estimates mixed layer depths only during the daytime hours from 1300 to 2300 UTC. The weather conditions for the 17 days studied were fairly quiescent, with sunny skies and light winds.

Publisher

American Meteorological Society

Subject

Atmospheric Science,Ocean Engineering

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3