山地丘陵地区ST风廓线雷达的探测性能评估
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摘要
利用淮南2015年3月至2016年2月ST风廓线雷达探测资料,从雷达运行模式和不同高度数据获取率的年、季、日变化角度,对该型号雷达在山地丘陵地区的探测能力进行评估。结果表明:山地丘陵地区,ST风廓线雷达能够获取高时空分辨率的探测资料,雷达正常工作时间占比为85.6%。雷达的探测能力在边界层和对流层中层明显高于对流层高层,年平均有效探测高度约14.0 km,占雷达最大探测量程的67%。可能受大气湿度、温度影响,探测能力在5—8月和12月对流层低层变低。受大气湍流影响,探测能力综合表现为夏季较高,春季次之,秋、冬季依次降低的季节差异,以及正午较低、凌晨较高的日变化特征。
Based on the detection data of ST wind profile radar in Huainan from March 2015 to February 2016,the detection capability of ST radar was evaluated in mountainous and hilly area by considering the operation pattern of radar and annual,seasonal and diurnal changes of data availability rate on different heights. The results show that ST wind profile radar could obtain detection data with high spatio-temporal resolution in mountainous and hilly area,the actual data availability rate was 85.6%. The detection capability of ST radar in the boundary layer and middle level of troposphere was higher than that in upper level of troposphere,and the annual average effective detecting height was about 14.0 km,which accounted for 67% of theoretical height. The data availability rate was lower in lower layer of troposphere from May to August and December due to the probable effects of air temperature and humidity. Furthermore,the detection capability affected by atmosphere turbulence presented significant seasonal and diurnal changes,it was higher in summer,then in spring,and lowest in winter,and it was lower at noon and higher before dawn.
Based on the detection data of ST wind profile radar in Huainan from March 2015 to February 2016,the detection capability of ST radar was evaluated in mountainous and hilly area by considering the operation pattern of radar and annual,seasonal and diurnal changes of data availability rate on different heights. The results show that ST wind profile radar could obtain detection data with high spatio-temporal resolution in mountainous and hilly area,the actual data availability rate was 85.6%. The detection capability of ST radar in the boundary layer and middle level of troposphere was higher than that in upper level of troposphere,and the annual average effective detecting height was about 14.0 km,which accounted for 67% of theoretical height. The data availability rate was lower in lower layer of troposphere from May to August and December due to the probable effects of air temperature and humidity. Furthermore,the detection capability affected by atmosphere turbulence presented significant seasonal and diurnal changes,it was higher in summer,then in spring,and lowest in winter,and it was lower at noon and higher before dawn.
引文
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[2]董丽萍,吴蕾,王令,等.风廓线雷达组网资料初步对比分析[J].气象,2014,40(9):1145-1151.
[3]施红蓉,李峰,吴蕾,等.风廓线雷达对降水相态变化的观测分析[J].气象,2014,40(10):1259-1265.
[4]ISHIHARA M,KATO Y,ABO T,et al.Characteristics and performance of the operational wind profiler network of the Japan Meteorological Agency[J].Journal of Meteorological Society of Japan,2006,84(6):1085-1096.
[5]GIANGRANDE S E,COLLIS S,STRAKA J,et al.A summary of convective-core vertical velocity properties using ARM UHF wind profilers in Oklahoma[J].Journal of Applied Meteorology and Climatology,2013,52:2278-2295.
[6]张旭斌,万齐林,薛纪善,等.风廓线雷达资料质量控制及其同化应用[J].气象学报,2015,73(1):159-176.
[7]曲巧娜,盛春岩,孙青,等.风廓线雷达与L波段探空雷达测风资料的对比[J].干旱气象,2016,34(6):1078-1086.
[8]胡明宝,张鹏.风廓线雷达测量性能分析[J].气象科技,2011,39(3):315-319.
[9]胡明宝,郑国光,肖文建.风廓线雷达数据获取率的统计分析[J].现代雷达,2008,30(10):14-16.
[10]高祝宇,阮征,魏鸣,等.风廓线雷达数据质量影响因子及处理算法[J].应用气象学报,2016,27(2):148-159.
[11]董保举,张晔,徐安伦.高原地区风廓线雷达资料评估[J].气象科技,2009,37(5):580-583.
[12]汪学渊,汪波,文明章,等.丘陵地区边界层风廓线雷达数据统计特性分析[J].气象科学,2015,35(3):328-333.
[13]陈浩君,黄兴友,王亚东,等.上海TWP3型边界层风廓线雷达探测性能评估[J].气象科技,2015,43(3):355-360.