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High-resolution humidity profiles retrieved from wind profiler radar measurements

机译:从风廓线雷达测量中获取的高分辨率湿度廓线

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The retrieval of humidity profiles from wind profiler radars has already been documented in the past 30 years and is known to be neither as straightforward and nor as robust as the retrieval of the wind velocity. The main constraint to retrieve the humidity profile is the necessity to combine measurements from the wind profiler and additional measurements (such as observations from radiosoundings at a coarser time resolution). Furthermore, the method relies on some assumptions and simplifications that restrict the scope of its application. The first objective of this paper is to identify the obstacles and limitations and solve them, or at least define the field of applicability. To improve the method, we propose using the radar capacity to detect transition levels, such as the top level of the boundary layer, marked by a maximum in the radar reflectivity. This forces the humidity profile from the free troposphere and from the boundary layer to coincide at this level, after an optimization of the calibration coefficients, and reduces the error. The resulting mean bias affecting the specific humidity profile never exceeds 0.25?g?kgsup?1/sup. The second objective is to explore the capability of the algorithm to retrieve the humidity vertical profiles for an operational purpose by comparing the results with observations from a Raman lidar.
机译:在过去的30年中,已经从风廓线雷达中获取湿度廓线,这与风速的获取既不直接也不可靠。检索湿度曲线的主要限制是必须将风廓线仪的测量值与其他测量值(例如以较粗的时间分辨率从无线电声音中获得的观测值)相结合。此外,该方法依赖于限制其应用范围的一些假设和简化。本文的首要目标是确定障碍和局限并加以解决,或者至少定义适用范围。为了改进该方法,我们建议使用雷达能力来检测以雷达反射率最大值标记的过渡层,例如边界层的顶层。在优化校准系数之后,这迫使来自自由对流层和边界层的湿度曲线在此水平上重合,并减少了误差。所产生的影响特定湿度曲线的平均偏差不会超过0.25?g?kg ?1 。第二个目标是通过将结果与拉曼激光雷达的观测值进行比较,探索该算法检索湿度垂直剖面以用于运营目的的能力。

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