The characterization of ice cloud properties from doppler radar measurements
The characterization of ice cloud properties from doppler radar measurements
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DOI：
10.1175/jam2543.1
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发表时间：
2007-10
影响因子：
3
通讯作者：
J. Delanoë;A. Protat;D. Bouniol;A. Heymsfield;A. Bansemer;P. Brown
中科院分区：
文献类型：
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作者：
J. Delanoë;A. Protat;D. Bouniol;A. Heymsfield;A. Bansemer;P. Brown
摘要：本文提出了一种与雷达-激光雷达算法相辅相成的新颖的冰云特性表征方法。该方法利用多普勒云雷达（35 GHz或95 GHz）的两个测量值，即雷达反射率和多普勒速度，来恢复晶体的有效半径、水成物的终端下降速度、冰水含量和可见光消光，由此可以估计光学深度。这种雷达方法依赖于缩放冰粒度分布的概念。利用广泛的原位机载微物理数据库进行的误差分析表明，冰含水量和消光的预期误差分别在30%-40%和60%左右，其中包括校准误差和粒子终端下落速度的偏差，这些误差都转化为密度-直径和面积-直径关系的反演误差。与雷达-激光雷达方法在两种仪器采样区域的比较。
Abstract The paper describes an original method that is complementary to the radar–lidar algorithm method to characterize ice cloud properties. The method makes use of two measurements from a Doppler cloud radar (35 or 95 GHz), namely, the radar reflectivity and the Doppler velocity, to recover the effective radius of crystals, the terminal fall velocity of hydrometeors, the ice water content, and the visible extinction from which the optical depth can be estimated. This radar method relies on the concept of scaling the ice particle size distribution. An error analysis using an extensive in situ airborne microphysical database shows that the expected errors on ice water content and extinction are around 30%–40% and 60%, respectively, including both a calibration error and a bias on the terminal fall velocity of the particles, which all translate into errors in the retrieval of the density–diameter and area–diameter relationships. Comparisons with the radar–lidar method in areas sampled by the two instrume...