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Intercomparison of stratospheric temperature profiles from a ground-based microwave radiometer with other techniques

机译:基于地面微波辐射计的地面微波辐射计与其他技术的相互比目

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In this work the stratospheric performance of a relatively new microwave temperature radiometer (TEMPERA) has been evaluated. With this goal in mind, almost 3 years of temperature measurements (January?2014–September?2016) from the TEMPERA radiometer were intercompared with simultaneous measurements from other techniques: radiosondes, MLS satellite and Rayleigh lidar. This intercomparison campaign was carried out at the aerological station of MeteoSwiss at Payerne (Switzerland). In addition, the temperature profiles from TEMPERA were used to validate the temperature outputs from the SD-WACCM model. The results showed in general a very good agreement between TEMPERA and the different instruments and the model, with a high correlation (higher than 0.9) in the temperature evolution at different altitudes between TEMPERA and the different data sets. An annual pattern was observed in the stratospheric temperature with generally higher temperatures in summer than in winter and with a higher variability during winter. A clear change in the tendency of the temperature deviations was detected in summer 2015, which was due to the repair of an attenuator in the TEMPERA spectrometer. The mean and the standard deviations of the temperature differences between TEMPERA and the different measurements were calculated for two periods (before and after the repair) in order to quantify the accuracy and precision of this radiometer over the campaign period. The results showed absolute biases and standard deviations lower than 2?K for most of the altitudes. In addition, comparisons proved the good performance of TEMPERA in measuring the temperature in the stratosphere.
机译:在这项工作中,已经评估了相对较新的微波辐射计(CELTSA)的平坦散流性能。通过考虑到这一目标,近3年的温度测量(1月份 - 2014年9月 - 2016年)从Cellera辐射计开始与其他技术同时测量相结合:无线电,MLS卫星和Rayleigh Lidar。这个交流锦标赛在Payerne(瑞士)的Meteoswiss的天然气竞选活动中进行。此外,使用来自CELLENA的温度谱来验证SD-WACCM模型的温度输出。结果一般表明,在温度和不同的数据集之间的不同高度的温度演变中,温度和模型之间的速度和模型之间的非常良好的一致性,在温度演变中具有高相关(高于0.9)。在夏天在夏季的温度较高的平流层温度下观察到年度模式,冬季冬季较高。在2015年夏季,检测到温度偏差趋势的明显变化,这是由于在温度谱仪中修复衰减器。温度差异的平均值和标准差异和不同测量的两个时段(修复前后)计算,以量化该辐射计对竞选期的准确性和精度。结果表明绝对偏差和标准偏差低于2Ω·K的大部分高度。此外,比较证明了温度测量平流层中温度的良好性能。

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