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A comparison of observations in the tropical western Pacific from ground-based and satellite millimeter-wavelength cloud radars

机译:地面和卫星毫米波云雷达对热带西太平洋观测的比较

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摘要

Millimeter-wavelength cloud radar (MMCR) can provide information on the vertical structure of cloud fields and thereby improve our understanding of the spatial distribution of clouds and their role in the climate system. Here we consider the representativeness of ground-based vertically pointing MMCR observations, which have been used in numerous climate studies. MMCR cloud statistics collected at Darwin, Australia, are compared against CloudSat (spaceborne) observations gathered in the near vicinity of the ground site. Overall, the total cloud occurrence vertical profiles observed by CloudSat and the ground-based MMCR agree on a spatial scale of 4° x 4°, although CloudSat is found to observe more high reflectivity cloud than the ground-based MMCR. Computed radar reflectivity using idealized atmospheric profiles suggests that rain (especially below the melting level) influences the observed reflectivities, and this appears to account for much of the differences in the observed distributions of radar reflectivity. After removal of precipitation profiles, CloudSat and ground-based MMCR observations show reasonable agreement. Sampling uncertainty in the CloudSat observations makes comparison at smaller region spatial scales (e.g., 2.5°) difficult and unfeasible for analysis at the time scale of months. Comparison of CloudSat observations with the ground-based data on scales of 4° and 7.5° works well. Comparison of total cloud occurrence and reflectivity distribution of nonprecipitating cloud from the MMCR and CloudSat at spatial scales from 4° to 7.5° show good agreement. This suggests that the properties of the nonprecipitating cloud are relatively homogeneous at this large scale.
机译:毫米波云雷达(MMCR)可以提供有关云场垂直结构的信息,从而提高我们对云空间分布及其在气候系统中的作用的了解。在这里,我们考虑了在许多气候研究中使用的地面垂直指向MMCR观测的代表性。将在澳大利亚达尔文收集的MMCR云统计数据与在地面站点附近收集的CloudSat(星载)观测值进行比较。总体而言,尽管发现CloudSat比地面MMCR观测到的反射率更高的云,但CloudSat和基于地面的MMCR观测到的总的云出现垂直剖面在4°x 4°的空间尺度上一致。使用理想的大气廓线计算的雷达反射率表明,降雨(尤其是低于融化水平)会影响观测到的反射率,这似乎解释了观测到的雷达反射率分布的许多差异。去除降水剖面后,CloudSat和地面MMCR观测值显示出合理的一致性。 CloudSat观测值中的采样不确定性使得难以在较小区域的空间尺度(例如2.5°)上进行比较,并且难以在数月的时间尺度上进行分析。将CloudSat观测值与4°和7.5°比例尺的地面数据进行比较,效果很好。在4°至7.5°的空间尺度上比较MMCR和CloudSat的总云的出现和非降水云的反射率分布,显示出很好的一致性。这表明在大范围内,非降水云的性质相对均匀。

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