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气象:2016,42(8):962-970
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上海组网风廓线雷达数据质量评估
(1.上海中心气象台,上海 200030;2.国家气象服务/环境预报及模拟中心,马里兰州 20740 美国)
Evaluation of Wind Profiler Network Data in Shanghai
(1.Shanghai Central Meteorological Observatory, Shanghai 200030;2.I. M. System Group at National Weather Service/National Center of Environmental  Prediction/Environmental Modelling Center, College Park, Maryland 20740, USA)
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投稿时间:2015-08-19    修订日期:2016-02-07
中文摘要: 利用2014年6月美国国家环境预报中心(NCEP)的全球模式分析资料,对上海及周边地区组网的七部边界层风廓线雷达的水平测风数据进行了初步分析和比较。由于NCEP全球模式分析资料并未使用上海13:15加密观测探空秒间隔数据,首先用该数据对NCEP分析资料的准确性和代表性进行了检验。结果表明,两者平均偏差与均方根误差均较小,故认为NCEP分析资料可用于客观检验上海及周边地区组网的七部边界层风廓线雷达的水平测风数据。对比分析风廓线雷达与NCEP分析资料表明总体上,风廓线雷达与NCEP分析资料的平均风场风速偏差为-0.14 m·s-1,均方根误差为2.72 m·s-1,风向偏差为-4.28°。上海组网风廓线雷达测风资料质量与探空观测水平接近,有较高的可用性。
Abstract:The horizontal wind observations from seven boundary layer profilers in Shanghai are evaluated by using the analysis data from the NCEP Global Data Assimilation System (GDAS) in June 2014. Since the densely observed rawinsonde data in Shanghai has not been assimilated by GDAS, these data are used to evaluate the accuracy and representativeness of NCEP’s analysis data. The results show that both bias and RMSE between rawinsonde observations and NCEP data are small, which indicates that NCEP’s analysis data are accurate enough to evaluate the quality of profiler data in Shanghai. Then the profiler observations are further compared with NCEP’s analysis data. The bias and RMSE are respectively -0.14 m·s-1 and 2.72 m·s-1 for wind speed, and -4.28° is for wind direction over all heights for the whole month. The comparison shows that data quality of wind profiler in Shanghai is close to that of rawinsonde. The wind profiler observation data in the network are reliable and can be used in operation or research.
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基金项目:国家自然科学基金项目(41475040)和公益性行业(气象)科研专项(GYHY201306010)共同资助
引用文本:
刘梦娟,刘舜,2016.上海组网风廓线雷达数据质量评估[J].气象,42(8):962-970.
LIU Mengjuan,LIU Shun,2016.Evaluation of Wind Profiler Network Data in Shanghai[J].Meteor Mon,42(8):962-970.