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首页> 外文期刊>Journal of Climate >Relating satellite-observed cloud properties from MODIS to meteorological conditions for marine boundary layer clouds.
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Relating satellite-observed cloud properties from MODIS to meteorological conditions for marine boundary layer clouds.

机译:将MODIS的卫星观测云特性与海洋边界层云的气象条件联系起来。

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This study examines 6 yr of cloud properties observed by the Moderate Resolution Imaging Spectroradiometer (MODIS) on board the NASA Terra satellite in five prominent marine boundary layer (MBL) cloud regions (California, Peru, Canary, Angola, and Australia) and investigates their relationships with near-surface meteorological parameters obtained from NCEP reanalyses. About 62 000 independent scenes are used to examine the instantaneous relationships between cloud properties and meteorological parameters that may be used for global climate model (GCM) diagnostics and parameterization. Cloud liquid water path (LWP) generally increases with lower-tropospheric stability (LTS) and lifting condensation level (LCL), whereas cloud drizzle frequency is favored by weak LTS and negligible cold air advection. Cloud fraction (CF) depends strongly on variations in LTS, and to a lesser extent on surface air temperature advection and LCL, although the relationships vary from region to region. The authors propose capturing the effects of these three parameters on CF via their linear combination in terms of a single parameter, the effective lower-tropospheric stability (eLTS). Results indicate that eLTS offers a marked improvement over LTS alone in explaining the median CF variations within the different study regions. A parameterization of CF in terms of eLTS is provided, which produces results that are improved over those of Klein and Hartmann's LTS-only parameterization. However, the new parameterization may not predict the observed variability correctly, and the authors propose a method that might address this shortcoming via a statistical approach.
机译:这项研究检查了中分辨率成像光谱仪(MODIS)在NASA Terra 卫星上五个显着的海洋边界层(MBL)云区域(加利福尼亚,秘鲁,加那利,安哥拉)观测到的6年云特性和澳大利亚),并研究它们与从NCEP重新分析获得的近地表气象参数之间的关系。大约有62 000个独立场景用于检查云特性与气象参数之间的瞬时关系,这些瞬时关系可用于全球气候模型(GCM)诊断和参数化。云的液态水路径(LWP)通常随着对流层稳定性(LTS)和凝结水位(LCL)的升高而增加,而云毛毛雨的频率受弱LTS和可忽略的冷空气对流的影响。尽管各个地区之间的关系各不相同,但云量(CF)很大程度上取决于LTS的变化,并且在较小程度上取决于地面气温对流和LCL。作者建议通过单个参数即有效的对流层下稳定性(eLTS)的线性组合来捕获这三个参数对CF的影响。结果表明,eLTS在解释不同研究区域内的中值CF变化方面比单独的LTS显着改善。提供了基于eLTS的CF的参数化,该参数化的结果优于Klein和Hartmann的仅LTS的参数化。但是,新的参数化可能无法正确预测观察到的变异性,因此作者提出了一种可以通过统计方法解决此缺点的方法。

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