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Cloud and Rain Effects on AltiKa/SARAL Ka-Band Radar Altimeter—Part II: Definition of a Rain/Cloud Flag

机译:云和雨对AltiKa / SARAL钾波段雷达高度计的影响-第二部分:雨/云标志的定义

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The main instrument of the French–Indian AltiKa/SARAL mission scheduled for launch in 2010 is the Ka-band AltiKa altimeter. The high attenuation due to atmospheric water (liquid or vapor) at this frequency band is the major drawback of the use of Ka-band. In part I of this paper, the impact of rain/clouds on Ka-band data and on the accuracy of the estimates of the geophysical parameters has been analyzed and quantified using an analytical model of waveform. Waveform distortion and errors on the geophysical parameters can be significant particularly for small dense clouds and rain cells. It is thus necessary to flag the data potentially affected by rain and clouds. The use of a single channel for AltiKa prevents the use of the classical dual-frequency rain flag used for Topex or Jason altimeters, and requires the definition of a new flag based on the altimeter signal alone. Past studies showed that clouds and rain are characterized by sharp coherent along-track fluctuations of the off-nadir angle estimates. The new flagging algorithm is based on the analysis of the variations of this parameter by the Matching Pursuit (MP) algorithm. MP allows the decomposition of a signal into a few salient features or atoms chosen from a dictionary of elementary functions. The dictionary is here defined by the wavelet decomposition of the signal. The method has been tested on an ensemble of AltiKa passes simulated for cloudy, rainy, and cloud/rain-free situations. The false alarm rate is almost nil while the detection performances are better than 90% at a range error of 5 cm and significant wave height error of 20 cm. The flag can easily be adapted to other altimeters'' data and has been used to flag several Jason-1 passes. The comparison to the operational dual-frequency flag shows that the MP flag performs better in detecting range errors and waveforms distortion, while its performances are inferior in detecting samples attenuated by rain.
机译:计划于2010年发射的法印印度AltiKa / SARAL任务的主要仪器是Ka波段AltiKa高度计。在此频段,由于大气中的水(液体或蒸汽)而导致的高衰减是使用Ka频段的主要缺点。在本文的第一部分中,已经使用波形分析模型分析和量化了雨/云对Ka波段数据的影响以及对地球物理参数估计准确性的影响。波形畸变和地球物理参数的误差可能非常显着,特别是对于小的密云和雨单元。因此,有必要标记可能受雨和云影响的数据。对AltiKa使用单个通道会阻止使用用于Topex或Jason高度计的经典双频降雨标志,并且需要仅基于高度计信号来定义新的标志。过去的研究表明,云层和雨水的特征是离天底角估计值沿轨道的剧烈连贯波动。新的标记算法基于通过匹配追踪(MP)算法分析此参数的变化。 MP允许将信号分解为几个显着特征或选自基本函数字典的原子。字典在这里通过信号的小波分解来定义。该方法已经在模拟的多云,多雨和无云/无雨的情况下在一组AltiKa通道上进行了测试。误报率几乎为零,而在5 cm的距离误差和20 cm的显着波高误差下,检测性能优于90%。该标记可以轻松地适应其他高度计的数据,并已用于标记几次Jason-1通道。与工作双频标志的比较表明,MP标志在检测距离误差和波形失真方面表现更好,而在检测被雨水衰减的样本方面性能较差。

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