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Cloud and Rain Effects on AltiKa/SARAL Ka-Band Radar Altimeter—Part I: Modeling and Mean Annual Data Availability

机译:云和雨对AltiKa / SARAL Ka波段雷达高度计的影响-第一部分:建模和年均数据可用性

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The AltiKa project, developed by the French Centre National d'Etudes Spatiales, is based on a wideband Ka-band altimeter (35.75 GHz). The technical characteristic of the instrument will offer higher performance both in terms of spatial and vertical resolutions that will lead to the improved observation of ice, coastal areas, inland waters, and wave height. An Indian Space Research Organization satellite, called Satellite with ARgos and AltiKa, will embark the AltiKa altimeter. The launch is scheduled at the end of 2010. The major drawback of Ka-band use is the attenuation of the radar signal by atmospheric liquid water. Clouds and rain effects will thus be a strong constraining factor, because the altimeter link budget imposes an attenuation of less than 3 dB. The impact of rain and clouds on Ka-band altimeter data is analyzed and quantified using an analytical model that computes AltiKa waveforms in the presence of rain or clouds. The results are then used to quantify the waveform attenuation and distortion, as well as the error induced on the altimeter geophysical parameter estimates. Because of the nonlinearity of attenuation relations, the impact of clouds/rain depends more on the cloud/rain variability within the altimeter footprint than on the mean characteristics, which makes correction using coincident rain or cloud data difficult. Small rain cell and small dense clouds can thus strongly distort the waveforms and lead to erroneous geophysical parameter estimates. The probability of 20 Hz and 1-s averaged data loss are computed from the model results and from cloud and rain climatologies. On a global scale, about 3.5% of the 20-Hz data will be lost because of rain and clouds and 2.5% of the 1-s averaged data. However, the probability strongly varies over the global ocean and can exceed 10% in the Tropics.
机译:法国国家练习曲中心法国中心开发的AltiKa项目基于宽带Ka波段高度计(35.75 GHz)。该仪器的技术特性将在空间和垂直分辨率方面提供更高的性能,从而改善对冰,沿海地区,内陆水域和海浪高度的观测。印度空间研究组织的一颗卫星,称为带有ARgos和AltiKa的卫星,将搭载AltiKa高度计。该发射定于2010年底进行。使用Ka频段的主要缺点是大气液态水会削弱雷达信号。因此,云和雨的影响将是一个很强的约束因素,因为高度计链路预算会产生小于3 dB的衰减。使用分析模型对雨和云对Ka波段高度计数据的影响进行分析和量化,该模型可以在有雨或云的情况下计算AltiKa波形。然后将结果用于量化波形衰减和失真,以及在高度计地球物理参数估计值上引起的误差。由于衰减关系的非线性,云/雨的影响更多地取决于高度计足迹内的云/雨变化,而不是平均特性,这使得使用重合的降雨或云数据进行校正变得困难。小雨单元和小密云会因此严重扭曲波形,并导致错误的地球物理参数估计。根据模型结果以及云和雨气气候计算出20 Hz和1-s平均数据丢失的概率。在全球范围内,约20%的20Hz数据将因雨和云而丢失,而1-s平均数据将丢失2.5%。但是,在全球海洋中,发生概率的差异很大,在热带地区可能超过10%。

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