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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Application of cloud vertical structure from CloudSat to investigate MODIS-derived cloud properties of cirriform, anvil, and deep convective clouds
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Application of cloud vertical structure from CloudSat to investigate MODIS-derived cloud properties of cirriform, anvil, and deep convective clouds

机译：应用CloudSat的云垂直结构研究MODIS衍生的卷状，砧状和深对流云的云特性

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CloudSat cloud vertical structure is combined with the CALIPSO Lidar and Collection-5 Level 2 cloud data from Aqua's Moderate Resolution Imaging Spectroradiometer (MODIS) to investigate the mean properties of high/cirriform, anvil, and deep convective (DC) clouds. Cloud properties are sampled over 30°S-30°N for 1 year and compared to existing results of Collection-4 Aqua MODIS high-level cloud observations where cloud types were categorized using the International Satellite Cloud Climatology Project (ISCCP) cloud classification scheme. Results show high/cirriform sampled in this study have high biases in cloud top pressure and temperature due to CloudSat's sensitivity to thin high clouds. Mean cloud properties of DC show reasonable agreement with existing DC results notwithstanding mean cloud optical thickness which is ~23% higher due to the exclusion of thick cirrus and anvil clouds. Anvil cloud properties are a mix between high/cirriform and DC according to ISCCP cloud optical thickness thresholds whereby ~80% are associated with high/cirriform and the other 20% are associated with DC. The variability of cloud effective particle radii was also evaluated using DC with ≥5 dBZ echoes at and above 10 km. No evidence of larger cloud effective particle radii are given despite considering higher reaching echoes. Using ISCCP cloud optical thickness thresholds, ~25% of DC would be classified as cirrostratus clouds. These results provide a basis to evaluate the uncertainty of the ISCCP cloud classification scheme and MODIS-derived cloud properties using active satellite observations. Key Points Optical and microphysical properties of high clouds are investigated using CVSThe data show anvil clouds are predominantly characteristic of Hi/Ci cloudsCVS is useful to assess the uncertainty of passive RS cloud taxonomy schemes
机译：CloudSat云垂直结构与CALIPSO激光雷达和Aqua的中等分辨率成像光谱仪（MODIS）的Collection-5 2级云数据结合使用，以研究高/圆弧形，砧形和深对流（DC）云的平均特性。在30°S-30°N范围内对云的性质进行了1年的采样，并与Collection-4 Aqua MODIS高级别云观测的现有结果进行了比较，其中使用国际卫星云气候学项目（ISCCP）云分类方案对云类型进行了分类。结果表明，由于CloudSat对稀薄高云的敏感性，本研究中采样的高/圆弧形云顶压力和温度存在较大偏差。尽管平均云光学厚度由于不包括厚的卷云和铁砧云而增加约23％，但DC的平均云性质显示出与现有DC结果合理的一致性。根据ISCCP云光学厚度阈值，砧云特性是高/圆弧形和DC之间的混合，其中约80％与高/圆弧形相关，而其他20％与DC相关。还使用10 km及以上的回波≥5 dBZ的DC评估了云有效粒子半径的变异性。尽管考虑到较高的回波，但没有给出更大的云有效粒子半径的证据。使用ISCCP云的光学厚度阈值，约25％的DC将被分类为卷云。这些结果提供了使用主动卫星观测评估ISCCP云分类方案和MODIS派生云特性的不确定性的基础。关键点使用CVS研究了高云的光学和微物理性质数据显示，砧云是Hi / Ci云的主要特征CVS可用于评估被动RS云分类方案的不确定性

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