基于微物理和雷达测量的改进雷达冰水含量检索算法

A. Heymsfield, Zhien Wang, S. Matrosov
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引用次数: 54

摘要

2002年7月在佛罗里达州进行的热带卷云和卷云层卷云区域研究(CRYSTAL)佛罗里达区域卷云实验(FACE)中,在9.6 GHz和94 GHz频率上的机载雷达反射率测量,以及同步的原位粒度分布和冰水含量测量,为评估和改进从单波长星载雷达测量中检索冰水含量的算法提供了第一次机会。冰含水量和雷达反射率都取决于粒子质量随尺寸的分布。结果表明,单一的幂律质量维度关系不能充分解释低反射率的小粒子和高反射率的大粒子的主要贡献。为了避免对多重或复杂的质量维度关系的需要,我们开发了利用粒子系综平均冰粒子密度的解析表达式,这些密度是由微物理和雷达观测同时得出的。这些表达式与超过5000个CRYSTAL FACE尺寸分布一起用于开发两个雷达波长的雷达反射率-冰水含量关系,这些关系似乎比早期的关系有所改善,至少对于对流生成的层状冰云。
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Improved Radar Ice Water Content Retrieval Algorithms Using Coincident Microphysical and Radar Measurements
Airborne radar reflectivity measurements at frequencies of 9.6 and 94 GHz, with collocated, in situ particle size distribution and ice water content measurements from the Cirrus Regional Study of Tropical Anvils and Cirrus Layers (CRYSTAL) Florida Area Cirrus Experiment (FACE) in Florida in July 2002, offer one of the first opportunities to evaluate and improve algorithms for retrieving ice water content from single-wavelength spaceborne radar measurements. Both ice water content and radar reflectivity depend on the distribution of particle mass with size. It is demonstrated that single, power-law, mass dimensional relationships are unable to adequately account for the dominating contribution of small particles at lower reflectivities and large particles at higher reflectivities. To circumvent the need for multiple, or complex, mass dimensional relationships, analytic expressions that use particle ensemble mean ice particle densities that are derived from the coincident microphysical and radar observations are developed. These expressions, together with more than 5000 CRYSTAL FACE size distributions, are used to develop radar reflectivity–ice water content relationships for the two radar wavelengths that appear to provide improvements over earlier relationships, at least for convectively generated stratiform ice clouds.
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