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A statistical comparison of cirrus particle size distributions measured using the 2-D stereo probe during the TC4, SPARTICUS, and MACPEX flight campaigns with historical cirrus datasets

机译:在TC4,SPARTICUS和MACPEX飞行活动中使用2-D立体探头测量的卷云粒径分布与历史卷云数据集的统计比较

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摘要

This paper addresses two straightforward questions. First, howsimilar are the statistics of cirrus particle size distribution (PSD)datasets collected using the Two-Dimensional Stereo (2D-S) probe to cirrus PSD datasetscollected using older Particle Measuring Systems (PMS) 2-D Cloud (2DC) and 2-DPrecipitation (2DP) probes? Second, how similar are the datasets whenshatter-correcting post-processing is applied to the 2DC datasets? To answerthese questions, a database of measured and parameterized cirrus PSDs –constructed from measurements taken during the Small Particles in Cirrus(SPARTICUS); Mid-latitude Airborne Cirrus Properties Experiment (MACPEX); andTropical Composition, Cloud, and Climate Coupling (TC) flight campaigns– is used.Bulk cloud quantities are computed from the 2D-S database in three ways:first, directly from the 2D-S data; second, by applying the 2D-S data to icePSD parameterizations developed using sets of cirrus measurements collectedusing the older PMS probes; and third, by applying the 2D-S data to asimilar parameterization developed using the 2D-S data themselves. This is doneso that measurements of the same cloud volumes by parameterized versions ofthe 2DC and 2D-S can be compared with one another. It is thereby seen – giventhe same cloud field and given the same assumptions concerning ice crystalcross-sectional area, density, and radar cross section – that theparameterized 2D-S and the parameterized 2DC predict similar distributionsof inferred shortwave extinction coefficient, ice water content, and 94 GHzradar reflectivity. However, the parameterization of the 2DC based onuncorrected data predicts a statistically significantly higher number of totalice crystals and a larger ratio of small ice crystals to large ice crystalsthan does the parameterized 2D-S. The 2DC parameterization based onshatter-corrected data also predicts statistically different numbers of icecrystals than does the parameterized 2D-S, but the comparison between thetwo is nevertheless more favorable. It is concluded that the older datasetscontinue to be useful for scientific purposes, with certain caveats, andthat continuing field investigations of cirrus with more modern probes isdesirable.
机译:本文解决了两个简单的问题。首先,使用二维立体(2D-S)探针收集的卷云粒度分布(PSD)数据集与使用较旧的粒子测量系统(PMS)二维云(2DC)和2- D降水(2DP)探头?其次,将粉碎校正后处理应用于2DC数据集时,这些数据集有何相似之处?为了回答这些问题,建立了一个测量和参数化的卷云PSD的数据库,该数据库是由在卷云中的小颗粒(SPARTICUS)期间进行的测量构建的;中纬度机载卷云特性实验(MACPEX);以及使用热带成分,云和气候耦合(TC)飞行活动。通过2D-S数据库以三种方式计算大块云量:首先,直接从2D-S数据中获取数据;第二,通过将2D-S数据应用于使用使用较早的PMS探针收集的一组卷云测量值开发的icePSD参数化;第三,通过将2D-S数据应用于使用2D-S数据本身开发的类似参数设置。这样做是为了可以比较参数化版本的2DC和2D-S对相同云量的测量。由此可见,在相同的云场和相同的冰晶横截面面积,密度和雷达横截面假设的情况下,参数化的2D-S和参数化的2DC可以预测推断的短波消光系数,冰水含量和94 GHz雷达反射率。但是,基于2DC的未校正数据的参数化预测,与参数化2D-S相比,统计上显着的总量计晶体和小冰晶与大冰晶的比例更大。基于破碎校正后的数据的2DC参数化还预测出与参数化2D-S统计学上不同的冰晶数量,但是两者之间的比较还是更有利的。结论是,较旧的数据集在某些警告下仍可继续用于科学目的,并且需要使用更现代的探测器对卷云进行持续的野外调查。

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  • 作者

    Schwartz M. Christian;

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  • 年度 2017
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  • 原文格式 PDF
  • 正文语种 eng
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