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Comparing RD94 dropsonde and aircraft temperature and humidity measurements based on data from arctic field studies

机译:根据北极野外研究数据比较RD94下投式探空仪和飞机温度和湿度测量值

摘要

Dropsondes are launched from research aircraft to measure vertical profiles of temperature, humidity, pressure and wind in the atmosphere while falling to the ground. Onboard the aircraft Polar 5 of the Alfred Wegener Institute for Polar and Marine Research (AWI), they are deployed on arctic and antarctic campaigns. udHere we compare temperature and humidity data from Vaisala RD94 dropsondes with data from the permanently installed sensors of the aircraft. Dropsonde profiles are combined with profiles measured during ascent or descent by the aircraft nearby. The aerosol lidar AMALi is used to identify the presence and altitude of clouds. Furthermore the time constants of the dropsonde temperature and humidity sensors are deduced from atmospheric data. udThe overall agreement between aircraft and dropsonde data is good, but for high humidities as in clouds the dropsonde shows a systematic dry bias of almost 10 %. Data suggest a temperature dependency of this bias. The combination of dry bias and time lag of the sensors can make cloud detection from dropsondes alone difficult in cold environments.
机译:投降探空仪是从研究飞机发射的,用于测量坠落到地面时大气中温度,湿度,压力和风的垂直剖面。在阿尔弗雷德·韦格纳极地和海洋研究所(AWI)的极地5飞机上,它们被部署在北极和南极战役中。 ud我们将维萨拉RD94探空仪的温度和湿度数据与飞机上永久安装的传感器的数据进行比较。 Dropsonde轮廓与附近飞机在上升或下降期间测得的轮廓结合在一起。气溶胶激光雷达AMALi用于识别云的存在和高度。此外,从大气数据推导出探空仪温度和湿度传感器的时间常数。 ud飞机与探空仪数据之间的总体一致性很好,但对于高湿度(如在云中)而言,探空仪显示出近10%的系统干偏。数据表明该偏差与温度有关。传感器的干偏和时滞的结合可能会使在寒冷的环境中仅凭空投探空仪进行云探测变得困难。

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