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微波辐射计反演大气廓线精度及降水预报应用

周冰雪 朱朗峰 吴昊 董自鹏 王璇 罗语嫣

周冰雪, 朱朗峰, 吴昊, 等. 微波辐射计反演大气廓线精度及降水预报应用. 应用气象学报, 2023, 34(6): 717-728. DOI:  10.11898/1001-7313.20230607..
引用本文: 周冰雪, 朱朗峰, 吴昊, 等. 微波辐射计反演大气廓线精度及降水预报应用. 应用气象学报, 2023, 34(6): 717-728. DOI:  10.11898/1001-7313.20230607.
Zhou Bingxue, Zhu Langfeng, Wu Hao, et al. Accuracy of atmospheric profiles retrieved from microwave radiometer and its application to precipitation forecast. J Appl Meteor Sci, 2023, 34(6): 717-728. DOI:  10.11898/1001-7313.20230607.
Citation: Zhou Bingxue, Zhu Langfeng, Wu Hao, et al. Accuracy of atmospheric profiles retrieved from microwave radiometer and its application to precipitation forecast. J Appl Meteor Sci, 2023, 34(6): 717-728. DOI:  10.11898/1001-7313.20230607.

微波辐射计反演大气廓线精度及降水预报应用

DOI: 10.11898/1001-7313.20230607
资助项目: 

高原与盆地暴雨旱涝灾害四川省重点实验室开放研究基金项目 SZKT202102

中国气象局创新发展专项 CXFZ2022P021

详细信息
    通信作者:

    吴昊, 邮箱:wuhao@cuit.edu.cn

Accuracy of Atmospheric Profiles Retrieved from Microwave Radiometer and Its Application to Precipitation Forecast

  • 摘要: 利用2018年6月—2021年7月陕西西安泾河站MWP967KV型地基微波辐射计反演数据和L波段探空数据, 分析晴天和云天(低云、中云、高云)微波辐射计反演的大气温度、相对湿度、水汽密度的精度, 探讨相关产品在降水过程中的应用能力。结果表明:晴天和云天微波辐射计与探空的温度相关系数均为0.99, 水汽密度相关系数均为0.97, 相对湿度相关系数均低于0.50, 均达到0.01显著性水平;晴天和云天的温度差异较小, 但云天相对湿度均方根误差超过25%, 较晴天的19.54%明显偏大, 且3种参数均越接近地面反演精度越高。在不同云类型条件下, 3类云的温度差异较小, 低云相对湿度均方根误差和偏差最大, 分别为26.85%和9.51%。对降水个例分析表明:在临近降水发生前空中相对湿度、液态水含量、大气可降水量和液态水路径均明显增长, 这可作为降水可能发生的指示因子。降水前1 h大气可降水量达到4 cm, 液态水路径达到0.2 mm, 可作为判断降水发生的参考阈值。
  • 图  1  晴天和云天微波辐射计与探空的温度、相对湿度和水汽密度散点密度

    Fig. 1  Scatter density of temperature, relative humidity and vapor density of microwave radiometer and radiosonde for clear and cloudy sky

    图  2  晴天和云天微波辐射计与探空的温度、相对湿度和水汽密度的相关系数、偏差和均方根误差廓线

    Fig. 2  Profiles of correlation coefficient, bias and root mean square error of temperature, relative humidity and vapor density between microwave radiometer and radiosonde for clear and cloudy sky

    图  3  微波辐射计与探空在低云、中云和高云条件下的温度、相对湿度和水汽密度散点密度

    Fig. 3  Scatter density of temperature, relative humidity and vapor density of microwave radiometer and radiosonde for low, middle and high cloud

    图  4  微波辐射计与探空在低云、中云和高云条件下的温度、相对湿度和水汽密度的相关系数、偏差和均方根误差廓线

    Fig. 4  Profiles of correlation coefficient, bias and root mean square error of temperature, relative humidity and vapor density between microwave radiometer and radiosonde for low, middle and high cloud

    图  5  2018年8月20日18:00—22日18:00相对湿度(填色)、液态水含量(填色)、大气可降水量(红线)、液态水路径(蓝线) 与降水量(灰色柱状) 变化

    Fig. 5  Relative humidity (the shaded), liquid water content (the shaded), atmospheric precipitable water vapor (the red line), liquid water path (the blue line) and rainfall (the grey column) from 1800 BT 20 Aug to 1800 BT 22 Aug in 2018

    图  6  2018—2019年6—9月非降水天气和小雨、中雨、大雨前1 h的大气可降水量和液态水路径箱线图

    Fig. 6  Box plots of atmospheric precipitable water vapor and liquid water path for non-precipitation days and 1 hour before light rain, moderate rain and heavy rain from Jun to Sep in 2018-2019

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  • 收稿日期:  2023-07-16
  • 修回日期:  2023-09-25
  • 刊出日期:  2023-11-27

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