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| A Test Pattern Identification Algorithm and Its Application to CINRAD/SA(B) Data简 | |
| 作者姓名： | JIANG Yuan LIU Liping |
| 作者单位： | [1]State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081 [2]Nanjing University of lnformation Science and Technology, Nanjing 210044 3National Meteorological Center, Beijing 100081 [3]National Meteorological Center, Beijing 100081 |
| 基金项目： | The authors are thankful to Pengfei ZHANG of NSSL and the anonymous reviewers for their com- ments and suggestions, which helped improve the presentation of the paper. Also, thanks are extended to CAO Jie of lAP in Bei-jing for assistance with the English. This paper is supported by the National Key Program for Developing Basic Sciences under Grant 2012CB417202, the National Natural Science Foundation of China under Grant No. 41175038, No Meteorological Special Project 41305088 and No. 41075023, the ＂＇Radar network observation tech- nology and QC＂, the CMA Key project ＂Radar Operational Soft- ware Engineering＂ and the Chinese Academy of Meteorological Sciences Basic Scientific and Operational P,＇ojects ＂Observation and retrieval methods of micro-physics and dynamic parameters of cloud and precipitation with multi-wavelength Remote Sensing＂, and also by Project of the State Key Laboratory of Severe Weather grant 2012LASW-B04. |
| 摘 要： | A variety of faulty radar echoes may cause serious problems with radar data applications,especially radar data assimilation and quantitative precipitation estimates.In this study,＂test pattern＂ caused by test signal or radar hardware failures in CINRAD （China New Generation Weather Radar） SA and SB radar operational observations are investigated.In order to distinguish the test pattern from other types of radar echoes,such as precipitation,clear air and other non-meteorological echoes,five feature parameters including the effective reflectivity data percentage （Rz）,velocity RF （range folding） data percentage （RRF）,missing velocity data percentage （RM）,averaged along-azimuth reflectivity fluctuation （RNr,z） and averaged along-beam reflectivity fluctuation （RNa,z） are proposed.Based on the fuzzy logic method,a test pattern identification algorithm is developed,and the statistical results from all the different kinds of radar echoes indicate the performance of the algorithm.Analysis of two typical cases with heavy precipitation echoes located inside the test pattern are performed.The statistical results show that the test pattern identification algorithm performs well,since the test pattern is recognized in most cases.Besides,the algorithm can effectively remove the test pattern signal and retain strong precipitation echoes in heavy rainfall events. |
| 关 键 词： | 测试信号 图案识别 识别算法 CINRAD 数据应用 SA 新一代天气雷达 有效反射率 |
A test pattern identification algorithm and its application to CINRAD/SA(B) data |
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| JIANG Yuan,LIU Liping.A test pattern identification algorithm and its application to CINRAD/SA(B) data[J].Advances in Atmospheric Sciences,2014,31(2):331-343. | |
| Authors: | Yuan Jiang Liping Liu |
| Institution: | 1. State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, 100081, China 2. Nanjing University of Information Science and Technology, Nanjing, 210044, China 3. National Meteorological Center, Beijing, 100081, China |
| Abstract: | A variety of faulty radar echoes may cause serious problems with radar data applications, especially radar data assimilation and quantitative precipitation estimates. In this study, “test pattern” caused by test signal or radar hardware failures in CINRAD (China New Generation Weather Radar) SA and SB radar operational observations are investigated. In order to distinguish the test pattern from other types of radar echoes, such as precipitation, clear air and other non-meteorological echoes, five feature parameters including the effective reflectivity data percentage (R Z), velocity RF (range folding) data percentage (R RF), missing velocity data percentage (R M), averaged along-azimuth reflectivity fluctuation $\left( {R_{N_{r,Z} } } \right)$ and averaged along-beam reflectivity fluctuation $\left( {R_{N_{a,Z} } } \right)$ are proposed. Based on the fuzzy logic method, a test pattern identification algorithm is developed, and the statistical results from all the different kinds of radar echoes indicate the performance of the algorithm. Analysis of two typical cases with heavy precipitation echoes located inside the test pattern are performed. The statistical results show that the test pattern identification algorithm performs well, since the test pattern is recognized in most cases. Besides, the algorithm can effectively remove the test pattern signal and retain strong precipitation echoes in heavy rainfall events. |
| Keywords: | quality control test pattern fuzzy logic radar data |
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