Using WSR-88D Data and Insolation Estimates to Determine Convective Boundary Layer Depth
Using WSR-88D Data and Insolation Estimates to Determine Convective Boundary Layer Depth
复制标题
使用 WSR-88D 数据和日照估计来确定对流边界层深度
DOI：
10.1175/jtech-d-11-00043.1
复制
发表时间：
2012
影响因子：
2.2
通讯作者：
D. Stensrud
中科院分区：
文献类型：
--
作者：
K. Elmore;P. Heinselman;D. Stensrud
以前的工作表明，天气监视雷达-1988多普勒（WSR-88 D）晴空反射率可以用来确定对流边界层（CBL）的深度。在此基础上，开发了两个简单的线性回归，提供CBL深度。一种方法只需要4.5°仰角单次扫描的晴空雷达反射率，而另一种方法还需要从雷达位置和当地时间得到的雷达站的总晴空日射量。因为只使用最近的雷达扫描，所以原则上可以计算每次扫描的CBL深度。用于开发模型的“真实”CBL深度是基于对915 MHz剖面仪数据的人类解释。在这项工作中提出的回归开发使用17个夏天附近的诺曼，俄克拉荷马州，以前已经调查。将所得方程和算法应用于由先前未分析的7天组成的测试数据集。虽然使用日射估计的回归表现最好，但误差...
AbstractPrior work shows that Weather Surveillance Radar-1988 Doppler (WSR-88D) clear-air reflectivity can be used to determine convective boundary layer (CBL) depth. Based on that work, two simple linear regressions are developed that provide CBL depth. One requires only clear-air radar reflectivity from a single 4.5° elevation scan, whereas the other additionally requires the total, clear-sky insolation at the radar site, derived from the radar location and local time. Because only the most recent radar scan is used, the CBL depth can, in principle, be computed for every scan. The “true” CBL depth used to develop the models is based on human interpretation of the 915-MHz profiler data. The regressions presented in this work are developed using 17 summer days near Norman, Oklahoma, that have been previously investigated. The resulting equations and algorithms are applied to a testing dataset consisting of 7 days not previously analyzed. Though the regression using insolation estimates performs best, erro...