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Retrieval of cloud base heights from passive microwave and cloud top temperature data

机译:从被动微波和云顶温度数据获取云底高度

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Water vapor profiling algorithms that treat liquid clouds explicitly yield a cloud base height as a byproduct. A single case of a water vapor profile retrieval using a combination of the SSM/T-2 on the DMSP satellite and cloud parameters from the AVHRR on the NOAA satellite retrieved a reasonable cloud base. While hardly definitive, this case is suggestive. The authors examine the cloud base signal in a combination of the SSM/1 and SSM/T-2 on the DMSP satellite from a theoretical point of view. It is shown that the signal is strong enough for a useful retrieval only over the ocean. For low altitudes, a cloud top temperature (CTT) constraint, as could be provided from an infrared radiometer, is required. While difficult with the DMSP-NOAA satellite combination, this has become much easier with the recent launch of NOAA-K with the AMSU-B and AVHRR. It is shown that the signal is acceptable over the relevant range of cloud liquid water content values. To achieve useful results, some local tuning of the algorithm will be necessary. This tuning could take the form of water vapor profile covariance matrices, climatological estimates of the cloud liquid water density, or purely empirical methods. Broken and multilayer clouds provide additional complications to the problem.
机译:处理液态云的水蒸气分析算法明确产生了云底高度作为副产品。使用DMSP卫星上的SSM / T-2和NOAA卫星上的AVHRR的云参数相结合的水汽剖面检索的单个案例,可以得到合理的云基础。虽然很难确定,但这种情况很有意义。作者从理论的角度考察了DMSP卫星上SSM / 1和SSM / T-2的组合的云基信号。结果表明,该信号足够强,只能在海洋上进行有用的检索。对于低海拔地区,需要由红外辐射计提供的云顶温度(CTT)约束。虽然使用DMSP-NOAA卫星组合很难,但最近随着AMSU-B和AVHRR发射NOAA-K变得更加容易。结果表明,在云水含量值的相关范围内,该信号是可以接受的。为了获得有用的结果,必须对算法进行一些局部调整。这种调整可以采取水蒸气剖面协方差矩阵,云状液态水密度的气候估计或纯经验方法的形式。断层云和多层云使问题更加复杂。

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