云粒子传感器测得的云水数浓度和液态水含量的先进估算方法

J. Inoue, Kazutoshi Sato, Y. Tobo, F. Taketani, M. Maturilli
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引用次数: 1

摘要

摘要云粒子传感器(CPS)探空仪是一种附加有探空传感器的观测系统,用于观测云性质的垂直结构。从CPS探空仪获得的信号与云粒子的相位、大小和数量有关。与飞机测量和陆基/卫星遥感相比,该系统具有经济优势,包括人力资源和简单的操作成本。然而,由于CPS系统在数据下行到地面站方面受到限制,因此观测到的信息应该得到适当的校正。2018年至2020年间,我们在北极地区发射了大约40台CPS探空仪,并利用这些数据集开发了排除不可靠数据的校正方法,估计了有效云水滴半径,并确定了总云粒子数的校正因子。我们将这种方法应用于2019年10月在北冰洋和2020年3月在挪威斯瓦尔巴群岛新奥勒松获得的数据,与系绳气球上的粒子计数器和微波辐射计获取的液态水含量进行比较。CPS探空仪估计的总颗粒数和液态水含量与这些数据基本一致,这表明该方法在获取云微物理垂直分布的定量和有意义的信息方面具有很好的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advanced method for estimating the number concentration of cloud water and liquid water content observed by cloud particle sensor sondes
Abstract. A cloud particle sensor (CPS) sonde is an observing system attached with a radiosonde sensor to observe the vertical structure of cloud properties. The signals obtained from CPS sondes are related to the phase, size, and number of cloud particles. The system offers economic advantages including human resource and simple operation costs compared with aircraft measurements and land-/satellite-based remote sensing. However, because CPS systems are limited for data downlink to land stations, the observed information should be appropriately corrected. We launched approximately 40 CPS sondes in the Arctic region between 2018 and 2020 and use these data sets to develop correction methods that exclude unreliable data, estimate the effective cloud water droplet radius, and determine a correction factor for the total cloud particle count. We apply this method to data obtained in October 2019 over the Arctic Ocean and March 2020 at Ny-Alesund, Svalbard, Norway to compare with a particle counter onboard a tethered balloon and liquid water content retrieved by a microwave radiometer. The estimated total particle count and liquid water content from the CPS sondes generally agree with those data, which exemplifies the promising advantages of this approach to retrieve quantitative and meaningful information on the vertical distribution of cloud microphysics.
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