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Development and Evaluation of a Long-Term Data Record of Planetary Boundary Layer Profiles From Aircraft Meteorological Reports

机译:从飞机气象报告中的行星边界层谱的长期数据记录的开发与评价

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High-quality measurements of planetary boundary layer (PBL) profiles are important for advancing our understanding of land-atmosphere coupling and PBL processes and improving the predictive capability of numerical models. Now with more than 10 years of observations from Aircraft Meteorological Data Reports (AMDAR), a decade-long (from 2007 to 2016) data record of hourly PBL profiles is developed over 54 U.S. airports. Comparisons between the derived hourly profiles and nearby radiosonde data, which are typically only available twice a day (at 00 and 12 UTC), show good agreement between the two data sets. The root-mean-square errors (RMSEs) between the AMDAR and radiosonde data are found to be dependent on the distance between the two data sets, especially at lower levels. The RMSEs of temperature generally decrease as the altitude increases, while the RMSEs of specific humidity and wind are positively correlated with the measurement magnitude. At perfect collocations (i.e., the separation distance is zero), the seasonal RMSEs at measurement levels with pressure larger than 850 hPa are 1.16-1.52 K, 0.64-1.25 g/kg, and 2.00-2.26 m/s for temperature, humidity, and wind components, respectively. Compared to the RMSEs, the mean biases of AMDAR profiles are much smaller and are less dependent on the separation distance. The RMSEs show little dependence on flight phases (ascent or descent) in the lower troposphere. Overall, our results indicate that the aircraft measurements are accurate enough to be an alternative to the radiosonde data and are better suited for investigating the diurnal variation of PBL due to their higher temporal resolution.
机译:行星边界层(PBL)型材的高质量测量对于推进我们对土地气氛耦合和PBL过程的理解以及提高数值模型的预测能力很重要。现在有超过10年的航空器气象数据报告(AMDAR)的观察,十年长(从2007年到2016年),每小时PBL型材的数据记录由54 U.S.机场开发。衍生的小时型材和附近的无线电电视数据之间的比较通常仅可用两次(00和12 UTC),在两个数据集之间显示出良好的一致性。发现AMDAR和无线电探测器数据之间的根均方误差(RMSE)取决于两个数据集之间的距离,尤其是较低级别。随着海拔高度的增加,温度的RMS节通常会降低,而特定湿度和风的RMS与测量幅度呈正相关。在完美的搭配(即分离距离为零),测量水平的季节性RMS在压力大于850 HPA,温度为1.16-1.52 k,0.64-1.25g / kg和2.00-2.26 m / s,湿度,和风部件分别。与RMSE相比,AMDAR轮廓的平均偏差要小得多并且不太依赖于分离距离。 RMSES略微依赖于对流层较低的飞行阶段(上升或下降)。总体而言,我们的结果表明,飞机测量足够准确,足以成为无线电探测仪数据的替代,并且由于其较高的时间分辨率而言,更适合于研究PBL的差变化。

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