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Water vapour profiles from Raman lidar automatically calibrated by microwave radiometer data during HOPE

机译:在HOPE期间通过微波辐射计数据自动校准拉曼激光雷达的水蒸气剖面

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In this paper, we present a method to derive water vapour profiles from Raman lidar measurements calibrated by the integrated water vapour (IWV) from a collocated microwave radiometer during the intense observation campaign HOPE in the frame of the HD(CP)2 initiative. The simultaneous observation of a microwave radiometer and a Raman lidar allowed an operational and continuous measurement of water vapour profiles also during cloudy conditions. The calibration method provides results which are in a good agreement with conventional methods based on radiosondes. The calibration factor derived from the proposed IWV method is very stable with a relative uncertainty of 5 %. This stability allows for the calibration of the lidar even in the presence of clouds using the calibration factor determined during the most recent clear sky interval. Based on the application of this approach, it is possible to retrieve water vapour profiles during all non-precipitating conditions. A statistical analysis shows a good agreement between the lidar measurements and collocated radiosondes. The relative biases amount to less than 6.7 % below 2 km.
机译:在本文中,我们提出了一种方法,该方法通过在HD(CP) 2帧中进行强力观测运动HOPE期间,通过并置的微波辐射计校准并置的微波辐射计来校准由拉曼激光雷达测量得到的水蒸气剖面主动。同时观察微波辐射计和拉曼激光雷达,也可以在阴天期间连续和连续地测量水蒸气剖面。校准方法提供的结果与基于无线电探空仪的常规方法非常吻合。从提出的IWV方法得出的校准因子非常稳定,相对不确定度为5%。即使在有云的情况下,也可以使用最近的晴朗天空间隔期间确定的校准因子对激光雷达进行校准,这种稳定性。基于此方法的应用,有可能在所有非降水条件下获取水汽剖面。统计分析表明,激光雷达测量值与并置的探空仪之间具有良好的一致性。在2 km以下,相对偏差小于6.7%。

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