| 对流层风廓线雷达资料质量分析 |
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| 引用本文： | 贺文煌,周登,马超,万蓉,朱磊.对流层风廓线雷达资料质量分析[J].解放军理工大学学报,2016(6):552-557. |
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| 作者姓名： | 贺文煌 周登 马超 万蓉 朱磊 |
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| 作者单位： | 1．湖北省咸宁市气象局,湖北 咸宁 437100；2.中国气象科学研究院，北京 100081；3. 解放军95825部队，湖北 孝感 432011；4.中国气象局武汉暴雨研究所，湖北 武汉 430205,1．湖北省咸宁市气象局,湖北 咸宁 437100；2.中国气象科学研究院，北京 100081；3. 解放军95825部队，湖北 孝感 432011；4.中国气象局武汉暴雨研究所，湖北 武汉 430205,1．湖北省咸宁市气象局,湖北 咸宁 437100；2.中国气象科学研究院，北京 100081；3. 解放军95825部队，湖北 孝感 432011；4.中国气象局武汉暴雨研究所，湖北 武汉 430205,1．湖北省咸宁市气象局,湖北 咸宁 437100；2.中国气象科学研究院，北京 100081；3. 解放军95825部队，湖北 孝感 432011；4.中国气象局武汉暴雨研究所，湖北 武汉 430205,1．湖北省咸宁市气象局,湖北 咸宁 437100；2.中国气象科学研究院，北京 100081；3. 解放军95825部队，湖北 孝感 432011；4.中国气象局武汉暴雨研究所，湖北 武汉 430205 |
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| 基金项目： | 财政部/科技部公益性行业专项资助项目(GYHY201306076)；中国气象局华中区域气象中心科技发展基金资助项目（QY-Y-201401） |
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| 摘 要： | 为了检验对流层风廓线雷达观测数据的准确性,利用2014年6-7月咸宁的对流层风廓线雷达和GPS移动探空资料,以GPS探空观测值为参考,对对流层风廓线雷达的观测质量进行对比分析,定义两者风向偏差在15°以内或风速偏差在3m/s以下的样本为有效样本,通过比较有效样本占总样本数的比值来判断风向和风速数据的质量。结果表明:降水量对风场影响不明显,风速和风向有效样本数的变化不同,比较时段内,风向数据的质量优于风速,降水提高了风向数据的质量;1~10km高度,风向数据的质量较好,而降水将提高该数据的质量;8km高度以下,风速数据的质量较好,降水对该数据的质量起反效果。总体来说,除近地层(1km以下)外,风速值越大,风向数据的质量越好,降水对高层风向数据的质量有正贡献。
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| 关 键 词： | 对流层风廓线雷达 探空资料 风向 风速 |
| 收稿时间： | 2016/2/19 0:00:00 |
| 修稿时间： | 2016/4/21 0:00:00 |
Quality analysis of troposphere wind profile radar data |
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| He Wenhuang,ZHOU Deng,MA Chao,WAN Rong and ZHU Lei.Quality analysis of troposphere wind profile radar data[J].Journal of PLA University of Science and Technology(Natural Science Edition),2016(6):552-557. |
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| Authors: | He Wenhuang ZHOU Deng MA Chao WAN Rong and ZHU Lei |
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| Institution: | 1. Xianning Meteorological Office of Hubei Province, Xianning 437100, China;2. Chinese Academy of Meteorological Sciences,Beijing 100081, China; 3. Unit No.95825 of PLA, Xiaogan 432011, China;4. Institute of Heavy Rain,China Meteorological Administration, Wuhan 430205, China,1. Xianning Meteorological Office of Hubei Province, Xianning 437100, China;2. Chinese Academy of Meteorological Sciences,Beijing 100081, China; 3. Unit No.95825 of PLA, Xiaogan 432011, China;4. Institute of Heavy Rain,China Meteorological Administration, Wuhan 430205, China,1. Xianning Meteorological Office of Hubei Province, Xianning 437100, China;2. Chinese Academy of Meteorological Sciences,Beijing 100081, China; 3. Unit No.95825 of PLA, Xiaogan 432011, China;4. Institute of Heavy Rain,China Meteorological Administration, Wuhan 430205, China,1. Xianning Meteorological Office of Hubei Province, Xianning 437100, China;2. Chinese Academy of Meteorological Sciences,Beijing 100081, China; 3. Unit No.95825 of PLA, Xiaogan 432011, China;4. Institute of Heavy Rain,China Meteorological Administration, Wuhan 430205, China,1. Xianning Meteorological Office of Hubei Province, Xianning 437100, China;2. Chinese Academy of Meteorological Sciences,Beijing 100081, China; 3. Unit No.95825 of PLA, Xiaogan 432011, China;4. Institute of Heavy Rain,China Meteorological Administration, Wuhan 430205, China |
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| Abstract: | To examine troposphere wind profile radar data, a comparative analysis was made on the observation quality of troposphere wind profile radar by using the data from troposphere wind profile radar and GPS mobile sounding in Xianning during flood season in 2014 with GPS sounding observation as a reference value. The samples with wind direction deviation within 15° or wind speed deviation within 3 m/s were defined as valid samples. And the valid sample proportion of wind speed and valid sample proportion of wind direction were indicated respectively. The results indicate that rainfall does not pose obvious impacts on the wind field. Effective sample numbers of wind speed and wind direction do not synchronize. Within comparable periods, the quality of wind direction data is better than that of wind speed. Rainfall enhances quality of wind direction data. Below 10 km ( except 1 km ), wind direction data are demonstrated, and rainfall will enhance the quality of such data. The wind speed data is relatively favorable below 8km and rainfall has an adverse effect on this data. Generally speaking, except the surface layer (below 1 km), high levels of wind speed indicate better qualities of wind direction data. Rainfall makes positive contributions to high-rise wind direction. |
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