The Atmospheric Radiation Measurement Program Cloud Profiling Radars: An Evaluation of Signal Processing and Sampling Strategies
The Atmospheric Radiation Measurement Program Cloud Profiling Radars: An Evaluation of Signal Processing and Sampling Strategies
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DOI：
10.1175/jtech1749.1
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发表时间：
2005-07
影响因子：
2.2
通讯作者：
P. Kollias;E. Clothiaux;B. Albrecht;M. Miller;K. Moran;Karen L. Johnson
中科院分区：
文献类型：
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作者：
P. Kollias;E. Clothiaux;B. Albrecht;M. Miller;K. Moran;Karen L. Johnson
摘要美国能源部（DOE）大气辐射测量（ARM）计划在不同气候条件下的几个特定位置运行毫米波云雷达（MMCR）。这些垂直指向的云廓线雷达提供三个最重要的多普勒谱矩估计，它们是雷达反射率（或零矩）、平均多普勒速度（或一阶矩）和多普勒谱宽（或二阶矩），作为时间和高度的函数。ARM MMCR多普勒矩估计形成了许多用于反演云微物理和辐射特性的算法的基础。反演算法对MMCR多普勒矩估计的质量和精度高度敏感。这些敏感性的重要性不应被低估，因为云的固有物理可变性、仪器引起的噪声和采样策略限制都可能在多普勒矩估计中引入误差。在...
Abstract The U.S. Department of Energy (DOE) Atmospheric Radiation Measurements (ARM) program operates millimeter-wavelength cloud radars (MMCRs) in several specific locations within different climatological regimes. These vertically pointing cloud profiling radars supply the three most important Doppler spectrum moment estimates, which are the radar reflectivity (or zero moment), the mean Doppler velocity (or first moment), and the Doppler spectrum width (or second moment), as a function of time and height. The ARM MMCR Doppler moment estimates form the basis of a number of algorithms for retrieving cloud microphysical and radiative properties. The retrieval algorithms are highly sensitive to the quality and accuracy of the MMCR Doppler moment estimates. The significance of these sensitivities should not be underestimated, because the inherent physical variability of clouds, instrument-induced noise, and sampling strategy limitations all potentially introduce errors into the Doppler moment estimates. In ...