| L波段探空判别云区方法的研究 |
| |
| 引用本文： | 蔡淼,欧建军,周毓荃,杨棋,蔡兆鑫.L波段探空判别云区方法的研究[J].大气科学,2014,38(2):213-222. |
| |
| 作者姓名： | 蔡淼 欧建军 周毓荃 杨棋 蔡兆鑫 |
| |
| 作者单位： | 1.南京信息工程大学, 南京210044;中国气象科学研究院, 北京100081 |
| |
| 基金项目： | 国家重点基础研究发展计划项目（973计划）2013CB955802；公益性行业（气象）科研专项经费GYHY201206025；国家自然科学基金项目41275150；国家高技术研究发展计划（863计划）2012AA120902 |
| |
| 摘 要： | 利用2008年1月到2009年12月的L波段探空资料，和与之时空匹配的Cloudsat云观测资料，首先分析了云内和云外相对湿度的累积频率分布，发现以75%作为相对湿度阈值判断云准确率可达81%。随后利用BS（Bias Score）和TS（Threat Score）评分方法，对不同相对湿度阈值进行评分分析，发现以81%作为相对湿度阈值TS评分可达0.66，为最高。接着利用BS和TS评分方法分不同高度对相对湿度阈值进行评分分析，发现随高度的增加该高度上具有最好TS评分的相对湿度阈值在减小。利用这些阈值对云判断时，总的TS评分高于0.6，且其准确率达到84%以上，比利用单一相对湿度阈值判断云准确率要高。最后对这些阈值进行优化，得到一套适合于我国L波段探空秒数据的云垂直结构的判别方法。
|
| 关 键 词： | L波段探空 云区 BS评分 TS评分 |
| 收稿时间： | 2012/11/6 0:00:00 |
| 修稿时间： | 2013/9/22 0:00:00 |
Discriminating Cloud Area by Using L-Band Sounding Data |
| |
| CAI Miao,OU Jianjun,ZHOU Yuquan,YANG Qi and CAI Zhaoxin.Discriminating Cloud Area by Using L-Band Sounding Data[J].Chinese Journal of Atmospheric Sciences,2014,38(2):213-222. |
| |
| Authors: | CAI Miao OU Jianjun ZHOU Yuquan YANG Qi and CAI Zhaoxin |
| |
| Institution: | 1.Nanjing University of Information Science and Technology, Nanjing 210044;Chinese Academy of Meteorological Sciences, Beijing 1000812.Shanghai Marine and Meteorological Center, Shanghai 2013003.Chinese Academy of Meteorological Sciences, Beijing 1000814.Weather Modification Office in Shanxi Province, Taiyuan 030032 |
| |
| Abstract: | L-band sounding data recorded from January 2008 to December 2009 and responding spatial and temporal Cloudsat data are used to analyze the cumulative frequency distributions of relative humidity in and near clouds. It is determined that the accuracy of cloud discrimination can reach 81% by setting the relative humidity threshold at 75%. In addition, various thresholds of relative humidity for discriminating clouds are evaluated on the bases of bias score (BS) and threat score (TS). By setting the relative humidity at 81%, the highest TS score of 0.66 is achieved. Moreover, relative humidity thresholds at various heights are also analyzed on the bases of BS and TS. The results show that the relative humidity threshold with the highest TS score among thresholds at the same cloud height decreases when the height increases. The TS score of the discriminate cloud area at these thresholds at responding altitudes is higher than 0.6, and the accuracy is more than 84%, which is significantly better result than that obtained by using a single relative humidity threshold for all heights. Finally, after optimizing these thresholds, a method of discriminating the cloud vertical structure is proposed by using L-band sounding data. |
| |
| Keywords: | L-band sounding Cloud area Bias score Threat score |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《大气科学》浏览原始摘要信息 |
| 点击此处可从《大气科学》下载免费的PDF全文 |
|
