Marine boundary layer clouds tend to organize into closed or open mesoscale cellular convection (MCC). Here, two-dimensional wavelet analysis is applied for the first time to passive microwave retrievals of cloud water path (CWP), water vapor path (WVP), and rain rate (RR) from Advanced Microwave Scanning Radiometer for Earth Observing System in 2008 over the Northeast and Southeast Pacific, and the Southeast Atlantic subtropical stratocumulus to cumulus transition regions. The (co-)variability between CWP, WVP, and RR in 160 × 160 km² analysis boxes is partitioned between four mesoscale wavelength octaves (20, 40, 80, and 160 km). The cell scale is identified as the wavelength of the peak CWP variance. Together with a machine-learning classification of cell type, this allows the statistical characteristics of open and closed MCC of various scales, and its relation to WVP, RR, and potential environmental controlling factors to be analyzed across a very large set of cases. The results show that the cell wavelength is most commonly 40–80 km. Cell-scale CWP perturbations are good predictors of the WVP and RR perturbations. For cells larger than 20 km, there is no obvious dependence of cell scale on the environmental controlling factors tested, suggesting that the cell scale may depend more on its historical evolution than the current environmental conditions.

中文翻译：

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从 AMSR-E 观测到的海洋边界层中尺度细胞特性的小波分析

海洋边界层云倾向于组织成封闭或开放的中尺度细胞对流 (MCC)。在这里，二维小波分析首次应用于 2008 年对地观测系统先进微波扫描辐射计的云水路径（CWP）、水汽路径（WVP）和降雨率（RR）的无源微波反演。东北太平洋和东南太平洋，以及东南大西洋副热带层积云到积云过渡区。160 × 160 km ^{2 内}CWP、WVP 和 RR 之间的（协）可变性分析框划分在四个中尺度波长倍频程（20、40、80 和 160 公里）之间。细胞尺度被识别为峰值 CWP 方差的波长。结合细胞类型的机器学习分类，这允许在大量案例中分析各种尺度的开放和封闭 MCC 的统计特征，及其与 WVP、RR 和潜在环境控制因素的关系。结果表明，小区波长最常见的是 40-80 公里。单元尺度 CWP 扰动是 WVP 和 RR 扰动的良好预测因子。对于大于 20 km 的小区，小区规模对所测试的环境控制因素没有明显的依赖性，这表明小区规模可能更多地取决于其历史演变而不是当前环境条件。