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A constrained algorithm for retrieval of stratocumulus cloud properties using solar radiation, microwave radiometer, and millimeter cloud radar data

机译:一种使用太阳辐射,微波辐射计和毫米云雷达数据检索平流云特性的约束算法

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Nonprecipitating liquid phase clouds of the planetary boundary layer are important components of the Earth's energy budget. Modem remote sensors are able to probe these clouds with increasing precision and detail, and extensive boundary layer cloud data sets are being generated at multiple sites around the world. In this paper we integrate several recent cloud property retrieval algorithms targeted at boundary layer stratocumulus clouds into a single framework that returns the vertical profile of microphysical properties. The new algorithm guarantees consistency among the radar reflectivity profile, the microwave radiometer-derived liquid water path, and the surface solar flux transmission ratio. We demonstrate a 0.9 mum root-mean-square difference and 0.89 correlation coefficient when results from the new approach are compared to aircraft-observed volume mean cloud droplet radii. An additional stratocumulus case study observed at an Atmospheric Radiation Measurement site is briefly described. [References: 24]
机译:行星边界层的非沉淀液相云是地球能源预算的重要组成部分。现代的远程传感器能够以越来越高的精确度和细节来探测这些云,并且在世界各地的多个站点都在生成大量的边界层云数据集。在本文中,我们将针对边界层地层积云的几种最新云属性检索算法集成到一个返回微物理属性垂直剖面的框架中。新算法可确保雷达反射率剖面,微波辐射计得出的液态水路径和地表太阳通量传输率之间的一致性。当将新方法的结果与飞机观测到的体积平均云滴半径进行比较时,我们证明了0.9的均方根差和0.89的相关系数。简要介绍了在大气辐射测量站点观察到的另一层平积云案例研究。 [参考:24]

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