An improved hydrometeor detection method for millimeter-wavelength cloud radar
An improved hydrometeor detection method for millimeter-wavelength cloud radar
复制标题
一种改进的毫米波云雷达水凝物检测方法
DOI：
10.5194/acp-17-9035-2017
复制
发表时间：
2017-07-27
影响因子：
6.3
通讯作者：
Fu, Qiang
中科院分区：
文献类型：
--
作者：
Ge, Jinming;Zhu, Zeen;Fu, Qiang
抽象。提出了一种改进的方法，通过一种新的降噪方案，可以将噪声分布降低到一个较窄的范围，从而在云雷达观测中区分云和其他水凝物，并识别出更多的弱信号特征。一个空间滤波器与中央加权，这是广泛使用的云雷达水凝物检测算法，也适用于我们的方法来检查雷达返回的信号的显着水平。构建方形云来测试我们的算法和用于美国能源部大气辐射测量计划毫米波云雷达的方法。利用兰州大学半干旱气候与环境观测站6个月的云雷达观测资料对两种方法进行了比较。结果发现，我们的方法具有显着的优势，在减少失败的负和假阳性的水凝物识别率在模拟云和识别云雷达观测信号弱的云。
Abstract. A modified method with a new noise reduction scheme that can reduce the noise distribution to a narrow range is proposed to distinguish clouds and other hydrometeors from noise and recognize more features with weak signal in cloud radar observations. A spatial filter with central weighting, which is widely used in cloud radar hydrometeor detection algorithms, is also applied in our method to examine radar return for significant levels of signals. Square clouds were constructed to test our algorithm and the method used for the US Department of Energy Atmospheric Radiation Measurements Program millimeter-wavelength cloud radar. We also applied both the methods to 6 months of cloud radar observations at the Semi-Arid Climate and Environment Observatory of Lanzhou University and compared the results. It was found that our method has significant advantages in reducing the rates of both failed negative and false positive hydrometeor identifications in simulated clouds and recognizing clouds with weak signal from our cloud radar observations.