Further Study on the Predictability of Landscape-Induced Atmospheric Flow.
Further Study on the Predictability of Landscape-Induced Atmospheric Flow.
复制标题
景观诱发大气流可预测性的进一步研究。
DOI：
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发表时间：
1995
期刊：
影响因子：
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通讯作者：
R. Pielke
中科院分区：
文献类型：
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作者：
X. Zeng;R. Pielke
摘要通过200多个二维数值模拟，研究了天气尺度风场作为地面特征函数对台风引起的大气流动可预报性的影响。基于域平均信噪比定义可预测性度量。将信号分解为两个不同的部分也被用来进一步了解天气尺度风场对中尺度大气可预报性的影响。强调不同的可预报性测度应用于不同的目的，基于不同的测度可以得到不同的可预报性结果。对于尺度L = 0 ~ 150 km的地面热斑，以及U = 0、3、5、7和9 m s-1的大尺度恒定平均风场，我们发现，位温θ、θ与其水平区域平均值θ′的偏差、水平速度u当L = 10 ~ 150 km时，u ′和u′在白天的任何时刻都是可预报的。
Abstract The effect of the synoptic-scale wind on the predictability of landscape-induced atmospheric flow as a function of surface characteristics is studied by means of over 200 two-dimensional numerical simulations. The predictability measure is defined based on domain-averaged signal to noise ratio. The decomposition of the signal into two different parts is also used to further understand the effect of the synoptic-scale wind on the mesoscale atmospheric predictability. It is emphasized that different predictability measures should be used for different purposes, and different predictability results can be obtained based on different measures. For the cases of surface heat patches with patch sizes from L = 0 to 150 km and constant large-scale mean winds of U = 0, 3, 5, 7, and 9 m s−1, it is found that the potential temperature θ, the deviation of θ from its horizontally domain-averaged value θ′, the horizontal velocity u, and u′ are all predictable at any time during the day when L = 10 to 150 km reg...