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Atmospheric profiling with the UAS SUMO: a new perspective for the evaluation of fine-scale atmospheric models

机译:利用UAS SUMO进行大气廓线分析:评估精细尺度大气模型的新视角

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For the first time, unmanned aerial system measurements collected by the small unmanned meteorological observer (SUMO) are used to evaluate atmospheric boundary layer (ABL) parameterization schemes embedded in the Advanced Weather Research and Forecasting model (AR-WRF). Observation sites were located in the vicinity of the almost idealized shaped mountain Hofsjökull, Central Iceland. SUMO profiles provided temperature, relative humidity and wind data to maximum heights of 3 km above ground. Two cases are investigated, one with calm wind conditions and development of a convective ABL and one with moderate winds and gravity waves over Hofsjökull. For the high-resolution simulation with AR-WRF, three two-way nested domains are chosen with a grid size of 9, 3 and 1 km. During its first meteorological test, SUMO has proved its great value for the investigation of the diurnal evolution of the ABL and the identification of mesoscale features residing above the ABL, such as subsidence.
机译:小型无人气象观测器(SUMO)收集的无人航空系统测量数据首次用于评估嵌入高级气象研究和预报模型(AR-WRF)中的大气边界层(ABL)参数化方案。观察点位于冰岛中部几乎理想化的山形霍夫舍库尔附近。 SUMO剖面图提供了温度,相对湿度和风向数据,这些数据的最大高度为离地面3 km。研究了两个案例,一个是风平和的对流ABL的发展,另一个是霍夫舍库尔上空的风和重力波。对于使用AR-WRF进行的高分辨率仿真,选择了三个两向嵌套域,其网格大小分别为9、3和1 km。在首次气象测试中,SUMO已证明其对研究ABL的昼夜演变以及识别位于ABL之上的中尺度特征(例如沉降)具有巨大的价值。

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