ERA5单水平参数估算两个大海拔差站点水汽和云衰减的精度评价

G. Siles, Juan Pablo Arciénega, Yasmín Balderrama
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引用次数: 0

摘要

ERAS再分析提供了有助于预测大气传播效应的气象参数。在玻利维亚埃尔阿尔托(4065 m.a.s.l)和西班牙马德里(633 m.a.s.l)不同的气候条件下,利用ERA5单水平参数$ twv $和$TCLW$分别计算水汽和云衰减的精度。评估使用物理模式结合无线电探空仪大气垂直剖面预测的衰减作为参考:4年(El Alto)和8年(Madrid)。还实施了ITU-R最新的全球预测模型,以完成测试分析:P.676-12和P.804-8基于全球地图的方法。结果表明,利用twv预测的水汽衰减量可以在较小的误差范围内使用。来自$TCLW$的云衰减在El Alto显示出很大的差异。然而,在马德里,当使用Salonen08 Tunned模型作为云检测模型时,观察到与基于raob的统计数据有很好的一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accuracy assessment of water vapor and cloud attenuation estimated from ERA5 single level parameters at two sites with large difference of altitude
ERAS reanalysis provides meteorological parameters that can help to predict atmospheric propagation effects. We investigate the accuracy of using ERA5 single level parameters, $TCWV$ and $TCLW$, to calculate water vapor and cloud attenuation, respectively, in El Alto (4065 m.a.s.l, Bolivia) and Madrid (633 m.a.s.l, Spain), locations having different climatological conditions. The assessment is performed using as reference the attenuation predicted by physical models combined with atmospheric vertical profiles from radiosondes: 4 years (El Alto) and 8 years (Madrid). The most recent global prediction models from ITU-R are also implemented to complete testing analysis: P.676-12 and P.804-8 global maps based methods. The results obtained show that water vapour attenuation from $TCWV$ predict statistics than can be used with small errors. Cloud attenuation from $TCLW$ show large discrepancies in El Alto. However, in Madrid, good agreement with RAOBS-based statistics is observed when using Salonen08 Tunned model as cloud detection model.
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