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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >TOPEX/Poseidon microwave radiometer (TMR). III. Wet troposphere range correction algorithm and pre-launch error budget
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TOPEX/Poseidon microwave radiometer (TMR). III. Wet troposphere range correction algorithm and pre-launch error budget

机译:TOPEX /波塞冬微波辐射计(TMR)。三,湿对流层范围校正算法和发射前误差预算

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For pt.II see ibid., vol.33, no.1, p.138-46 (1995). The sole mission function of the TOPEX/Poseidon microwave radiometer (TMR) is to provide corrections for the altimeter range errors induced by the highly variable atmospheric water vapor content. The three TMR frequencies are shown to be near-optimum for measuring the vapor-induced path delay within an environment of variable cloud cover and variable sea surface flux background. After a review of the underlying physics relevant to the prediction of 5-40 GHz nadir-viewing microwave brightness temperatures, the authors describe the development of the statistical, two-step algorithm used for the TMR retrieval of path delay. Test simulations are presented which demonstrate the uniformity of algorithm performance over a range of cloud liquid and sea surface wind speed conditions. The results indicate that the inherent algorithm error (assuming noise free measurements and an exact physical model) is less than 0.4 cm of retrieved path delay for a global representation of atmospheric conditions. An algorithm error budget is developed which predicts an overall algorithm accuracy of 0.9 cm when modeling uncertainties are included. When combined with expected TMR antenna and brightness temperature accuracies, an overall measurement accuracy of 1.2 cm for the wet troposphere range correction is predicted.
机译:关于第二点,请参见同上,第33卷,第1期,第138-46页(1995年)。 TOPEX /波塞冬微波辐射计(TMR)的唯一任务功能是对高度可变的大气水蒸气含量引起的高度表范围误差进行校正。示出了三个TMR频率接近最佳,用于测量在变化的云量和变化的海面通量背景下,由蒸气引起的路径延迟。在回顾了与5-40 GHz天底观测微波亮度温度预测相关的基本物理原理后,作者描述了统计的两步算法的发展,该算法用于路径延迟的TMR检索。给出了测试仿真,这些仿真表明了在一定范围的云层液体和海面风速条件下算法性能的一致性。结果表明,对于大气状况的整体表示,固有的算法误差(假设无噪声的测量和精确的物理模型)小于检索路径延迟的0.4 cm。开发了算法误差预算,当包括建模不确定性时,该算法预测整体算法精度为0.9 cm。与预期的TMR天线和亮度温度精度结合使用时,可预测湿对流层范围校正的整体测量精度为1.2 cm。

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