L波段探空雷达测风质量控制方法研究
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科技部重大自然灾害监测预警与防范重点专项(2018YFC1506201;2018YFC1506204)


Study on the quality control method of wind measurement of L-band sounding radar
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    摘要:

    以美国NCEP的FNL再分析场和我国GRAPES初估场为参考对北京探空雷达测风从平均偏差、标准偏差、概率密度分布、峰度系数、偏度系数、相关系数和均方根差等多参数进行评估。基于评估结果对雷达测风资料进行质量控制,并再次求解参数进一步评估质量控制效果。结果表明:L波段探空雷达测风质量较高,平均偏差基本在±1 m/s内,其与参考标准一致性随气压减小而减小;风的东西分量和南北分量的一致性基本保持一致;四个季节中夏季数据一致性最高;基于FNL的评估结果优于GRAPES,即基于FNL的所有参数相对于GRAPES的参数更接近最优值。基于评估结果质控后的测风一致性得到提升,保留了原有特征。该质量控制方法能够有效地消除季节性差异,且质控后两个背景场的评估结果差距缩小。

    Abstract:

    For many years,the quality of radar wind measurement data has been the focus of many scholars.However,there have few studies performed on the assessment of radar wind measurement data,and the evaluation process is relatively simple,lacking more comprehensive and in-depth research and discussion.In addition,no quantitative evaluation criteria have been created through statistical parameters,and most of have not been quality controlled according to the evaluation results.In order to resolve the above issues,related research is currently being carried out.In this study,taking the FNL reanalysis fields of NCEP and GRAPES initial estimation fields in China as the references,the L-band radar wind measurement taken from the Beijing Sounding Station is evaluated from the multi-parameters,such as average deviations,standard deviations,probability density distributions,kurtosis coefficients,skewness coefficients,correlation coefficient and root mean square error.Then,according to the assessment results,the data of the radar wind are controlled,and the parameters are again solved,so as to further evaluate the quality control effect.The test results show that the L-band radar wind measurement is of high quality,while the average deviation is within ±1 m/s,and its consistency with the reference standard decreases with the decrease of the air pressure.The consistency of the east-west and north-south components of wind remains basically the same.The data consistency of the summer season is highest in the four seasons.The evaluation results based on FNL are shown to be superior to those of the GRAPES forecast field.All parameters based on FNL are closer to the optimal values relative to the parameters of GRAPES.Based on the evaluation results,after quality control the consistency of the wind measurement data is shown to be improved,and the original characteristics are retained.The quality control method can effectively eliminate seasonal differences,while the gap between the assessment results of the two background fields is also narrowed following quality control.

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  • 收稿日期:2018-05-25
  • 最后修改日期:2018-11-14
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  • 在线发布日期: 2020-11-06
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