Thermodynamic Retrieval in Rapidly Rotating Vortices from Multiple-Doppler Radar Data
Thermodynamic Retrieval in Rapidly Rotating Vortices from Multiple-Doppler Radar Data
复制标题
多普勒雷达数据快速旋转涡旋的热力学反演
DOI：
10.1175/jtech-d-17-0073.1
复制
发表时间：
2017
影响因子：
2.2
通讯作者：
M. Bell
中科院分区：
文献类型：
--
作者：
Annette M. Foerster;M. Bell
摘要热力学反演可以从无法进行现场观测的区域的运动学测量中获取压力和温度信息。这项研究提出了一种名为 SAMURAI-TR（利用雷达和飞机仪表的中尺度样条分析 - 热力学检索）的新检索技术，该技术使用变分方法从多普勒雷达数据中导出压力和密度势温度的三维场。 SAMURAI-TR 通过以下方式改进了现有方法：1) 允许参考状态定义的水平变化；2) 将检索到的压力和温度量表示为由一系列有限元三次 B 样条组成的三维函数。第一个进步使得检索能够明确地解释热带气旋和其他快速旋转涡旋中平均热力学状态的大径向梯度。第二个进步允许指定三维压力和...
AbstractThermodynamic retrievals can derive pressure and temperature information from kinematic measurements in regions where no in situ observations are available. This study presents a new retrieval technique called SAMURAI-TR (Spline Analysis at Mesoscale Utilizing Radar and Aircraft Instrumentation–Thermodynamic Retrieval) that derives three-dimensional fields of pressure and density potential temperature from multiple-Doppler radar data using a variational approach. SAMURAI-TR advances existing methods by 1) allowing for a horizontal variation in the reference-state definition and 2) representing the retrieved quantities of pressure and temperature as three-dimensional functions consisting of a series of finite-element cubic B-splines. The first advancement enables the retrieval to explicitly account for the large radial gradient of the mean thermodynamic state in tropical cyclones and other rapidly rotating vortices. The second advancement allows for specification of the three-dimensional pressure a...