用于雷达传播预报的中尺度NWP模式中减少湍流混合

S. Fox
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引用次数: 0

摘要

在复杂的沿海环境中,大气对雷达覆盖的影响在许多海军应用中具有重要意义。由温度和湿度的垂直梯度驱动的大气折射率的变化可以显著地增加或减少可探测到特定目标的范围。中尺度数值天气预报(NWP)模式可用于预测大气折射率场的时空变化,这是预测雷达覆盖模式的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reduced turbulent mixing in a mesoscale NWP model for radar propagation forecasting
The effect of the atmosphere on radar coverage in complex coastal environments is of great importance in many naval applications. Variations in atmospheric refractivity driven by vertical gradients of temperature and moisture can significantly enhance or reduce the range at which a particular target may be detected. Mesoscale Numerical Weather Prediction (NWP) models can be used to predict the spatial and temporal variation of atmospheric refractivity fields, which form the basis for forecasting radar coverage patterns.
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