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Comparison of aircraft‐derived observations with in situ research aircraft measurements

机译:使用原位研究飞机测量的飞机衍生观测的比较

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摘要

Mode Selective Enhanced Surveillance (Mode-S EHS) reports are aircraft-based observations that have value in numerical weather prediction (NWP). These reports contain the aircraft's state vector in terms of its speed, direction, altitude and Mach number. Using the state vector, meteorological observations of temperature and horizontal wind can be derived. However, Mode-S EHS processing reduces the precision of the state vector from 16-bit to 10-bit binary representation. We use full precision data from research grade instruments, on-board the United Kingdom's Facility for Atmospheric Airborne Measurements, to emulate Mode-S EHS reports and to compare with derived observations. We aim to understand the observation errors due to the reduced precision of Mode-S EHS reports. We derive error models to estimate these observation errors. The temperature error increases from 1.25 K to 2.5 K between an altitude of 10 km and the surface due to its dependency on Mach number and also Mode-S EHS precision. For the cases studied, the zonal wind error is around 0.50 ms− 1 and the meridional wind error is 0.25 ms− 1. The wind is also subject to systematic errors that are directionally dependent. We conclude that Mode-S EHS derived horizontal winds are suitable for data assimilation in high-resolution NWP. Temperature reports may be usable when aggregated from multiple aircraft. While these reduced precision, high frequency data provide useful, albeit noisy, observations; direct reports of the higher precision data would be preferable.
机译:模式选择性增强监视(Mode-S EHS)报告是基于飞机的观测,在数值天气预报(NWP)中具有价值。这些报告包含飞机的状态向量,包括速度,方向,高度和马赫数。使用状态向量,可以得出温度和水平风的气象观测结果。但是,模式S EHS处理将状态向量的精度从16位二进制表示降低到10位二进制表示。我们使用来自英国大气机载测量设施上的研究级仪器的全精度数据,以模拟S模式EHS报告并与导出的观测结果进行比较。我们旨在了解由于Mode-S EHS报告的精度降低而导致的观测误差。我们导出误差模型以估计这些观测误差。由于温度对马赫数的影响以及模式S EHS精度的影响,在10 km的高度与地面之间,温度误差从1.25 K升高到2.5K。对于所研究的情况,纬向风误差约为0.50 ms- 1,子午风误差为0.25 ms- 1,而且风还受到与方向有关的系统误差的影响。我们得出结论,以模式S EHS推导的水平风适用于高分辨率NWP中的数据同化。从多架飞机汇总温度报告可能会有用。尽管这些精度降低了,但是高频数据提供了有用的,尽管嘈杂的观察结果。直接报告更高精度的数据将是更好的选择。

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