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首页> 外文期刊>ournal of the Meteorological Society of Japan >Statistical Validation of a Cloud Resolving Model Using Aircraft Observations of Orographic Snow Clouds
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Statistical Validation of a Cloud Resolving Model Using Aircraft Observations of Orographic Snow Clouds

机译:使用飞机雪云观测资料的云解析模型的统计验证

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摘要

 Cold rain processes simulated with a nonhydrostatic cloud-resolving model developed by the Japan Meteorology Agency/Meteorological Research Institute and run at 1 km horizontal resolution (1-km-NHM) with a two-moment bulk parameterization scheme are validated using in situ aircraft observations for orographic snow clouds. To statistically validate cold rain processes simulated by the 1-km-NHM, aircraft observations collected during two winter seasons (March and December 2007, a total of 21 flights) over the Echigo Mountains are analyzed and compared with the model. For the cases where the differences in the cloud top heights and/or temperatures between the simulations and aircraft observations are small (i.e., the forecast errors are thought to be relatively small), the horizontal wind direction, wind speed, and vertical wind velocity for all three analysis height intervals (2.0-2.5 km, 2.5-3.0 km, and 3.0-3.5 km above sea level) and over all four analysis areas (Toukamachi, Senjyoji, Shimizu, and Naramata) exhibit reasonable agreement between the numerical simulations and aircraft observations, although the 1-km-NHM overestimated the horizontal wind speed in the cloud layer by 2-3 m s-1. The simulated liquid water contents at every height interval and over every analysis area are significantly underestimated compared with the aircraft observations. Taking into account the underestimation of ice water content (IWC) measured with the Nevzorov TWC/LWC probe, the simulated IWCs in the upper and middle parts of the clouds are also slightly underestimated. The simulated total solid particle number concentrations (TNCs) in the upper and middle parts of the clouds were underestimated compared with the aircraft observations, while the simulated TNCs in the lower parts of the clouds are slightly overestimated. The ratios of simulated cloud ice number concentrations to snow number concentrations are less than unity and much smaller than the corresponding ratios obtained from the aircraft observations. This suggests that the overall conversion from cloud ice to snow in the 1-km-NHM, which occurs primarily through depositional growth, is faster than that in real clouds.
机译:使用日本气象厅/气象研究所开发的非静水云解析模型模拟的冷雨过程,该过程以水平矩1 km(1-km-NHM)进行,并具有两步的整体参数化方案,并使用飞机原位观测进行了验证。地形雪云。为了从统计学上验证1-km-NHM模拟的冷雨过程,分析了越后山脉两个冬季(2007年3月和2007年12月,共进行了21次飞行)收集到的飞机观测资料,并将其与模型进行了比较。对于模拟和飞机观测值之间的云顶高度和/或温度差异很小(即,预测误差被认为相对较小)的情况,水平风向,风速和垂直风速所有三个分析高度间隔(海拔2.0-2.5 km,2.5-3.0 km和3.0-3.5 km)以及所有四个分析区域(Toukamachi,Senjyoji,Shimizu和Naramata)在数值模拟和飞机之间都显示出合理的一致性尽管1 km-NHM高估了云层中的水平风速2-3 m s-1。与飞机观测结果相比,在每个高度间隔和每个分析区域内模拟的液态水含量都被大大低估了。考虑到使用Nevzorov TWC / LWC探头测得的冰水含量(IWC)的低估,在云层中上部的模拟IWC也被低估了。与飞机观测结果相比,云层上部和中部的模拟总固体颗粒数浓度(TNC)被低估了,而云层下部的模拟TNC则被高估了一点。模拟的云冰数量浓度与雪数量浓度的比率小于1,远小于从飞机观测获得的相应比率。这表明,在1 km-NHM中,从云冰到雪的总体转化(主要是通过沉积增长)要比真实云快。

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