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首页> 外文期刊>Atmospheric Measurement Techniques >Rayleigh wind retrieval for the ALADIN airborne demonstrator of the Aeolus mission using simulated response calibration
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Rayleigh wind retrieval for the ALADIN airborne demonstrator of the Aeolus mission using simulated response calibration

机译:使用模拟响应校准的Aeolus任务的Aladin Iirbore Sextator的Rayleigh风

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摘要

Aeolus, launched on 22 August in 2018, is the first ever satellite to directly observe wind information from the surface up to 30 km on a global scale. An airborne prototype instrument called ALADIN airborne demonstrator (A2D) was developed at the German Aerospace Center (DLR) for validating the Aeolus measurement principle based on realistic atmospheric signals. To obtain accurate wind retrievals, the A2D uses a measured Rayleigh response calibration (MRRC) to calibrate its Rayleigh channel signals. However, differences exist between the respective atmospheric temperature profiles that are present during the conduction of the MRRC and the actual wind measurements. These differences are an important source of wind bias since the atmospheric temperature has a direct effect on the instrument response calibration. Furthermore, some experimental limitations and requirements need to be considered carefully to achieve a reliable MRRC. The atmospheric and instrumental variability thus currently limit the reliability and repeatability of a MRRC. In this paper, a procedure for a simulated Rayleigh response calibration (SRRC) is developed and presented in order to resolve these limitations of the A2D MRRC. At first the transmission functions of the A2D Rayleigh channel double-edge Fabry-Perot interferometers (FPIs) in the internal reference path and the atmospheric path are characterized and optimized based on measurements performed during different airborne and ground-based campaigns. The optimized FPI transmission functions are then combined with the laser reference spectrum and the temperature-dependent molecular Rayleigh backscatter spectrum to derive an accurate A2D SRRC which can finally be implemented into the wind retrieval. Using dropsonde data as a reference, a statistical analysis based on a dataset from a flight campaign in 2016 reveals a bias and a standard deviation of line-of-sight (LOS) wind speeds derived from a SRRC of only 0.05 and 2.52 m s(-1), respectively. Compared to the result derived from a MRRC with a bias of 0.23 m s(-1) and a standard deviation of 2.20 m s(-1), the accuracy improved and the precision is considered to be at the same level. Furthermore, it is shown that the SRRC allows for the simulation of receiver responses over the whole altitude range from the aircraft down to sea level, thus overcoming limitations due to high ground elevation during the acquisition of an airborne instrument response calibration.
机译:2018年8月22日推出的Aeolus是第一个直接观察到全球范围内30公里的风信息的卫星。德国航空航天中心(DLR)开发了一种名为Aladin Iirbore Sextsear(A2D)的机载原型仪表,用于验证基于现实大气信号的Aeolus测量原理。为了获得精确的风检索,A2D使用测量的Rayleigh响应校准(MRRC)来校准其瑞利频道信号。然而,在MRRC传导期间存在的各自的大气温度曲线和实际风测量期间存在差异。这些差异是风偏差的重要来源,因为大气温度对仪器响应校准有直接影响。此外,需要仔细考虑一些实验限制和要求,以实现可靠的MRRC。因此,大气和仪器变异性目前限制MRRC的可靠性和可重复性。在本文中,开发并呈现了模拟瑞利响应校准(SRRC)的过程,以解决A2D MRRC的这些限制。首先,基于在不同空中和基于地面的运动期间执行的测量来表征和优化了内部参考路径和大气路径中的A2D瑞利通道双边缘法布里 - 珀罗干涉仪(FPI)的传输功能。然后将优化的FPI传输功能与激光参考光谱和温度相关的分子瑞利反向散射谱进行结合,以获得精确的A2D SRRC,最终可以实现为风检索。使用Dropsonde数据作为参考,2016年从飞行活动的基于DataSet的统计分析显示出偏见和源自SRRC的偏差和标准偏差,该偏差仅为0.05和2.52 ms( - 1)分别。与来自MRRC的结果的结果与0.23M S(-1)的偏差和2.20m S(-1)的标准偏差相比,改善的精度和精度被认为是相同的水平。此外,示出了SRRC允许在从飞机上的整个高度范围内模拟从飞机到海平面,从而克服由于在获取空中仪器响应校准期间由于高地面高度而克服的限制。

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