首页> 外文期刊>Journal of Applied Meteorology and Climatology >Sensitivity of Low-Level Winds Simulated by the WRF Model in California's Central Valley to Uncertainties in the Large-Scale Forcing and Soil Initialization
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Sensitivity of Low-Level Winds Simulated by the WRF Model in California's Central Valley to Uncertainties in the Large-Scale Forcing and Soil Initialization

机译:由WRF模型模拟的加利福尼亚中央山谷低空风对大规模强迫和土壤初始化不确定性的敏感性

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The sensitivity of the Weather and Research Forecasting (WRF) model-simulated low-level winds in the Central Valley (CV) of California to uncertainties in the atmospheric forcing and soil initialization is investigated using scatter diagrams for a 5-day period in which meteorological conditions are typical of those associated with poor-air-quality events during the summer in the CV. It is assumed that these uncertainties can be approximated by two independent operational analyses. First, the sensitivity is illustrated using scatter diagrams and is measured in terms of the linear regression of the output from two simulations that differ in either the atmospheric forcing or the soil initialization. The spatial variation of the sensitivity is then investigated and is linked to the dominant low-level flows within the CV. The results from this case study suggest that the WRF-simulated low-level winds in the northern CV [i.e., the Sacramento Valley (SV)] are more sensitive to the uncertainties in the atmospheric forcing than to those in the soil initialization in the typical weather conditions during the summer that are prone to poor air quality in the CV. The simulated low-level winds in the southernmost part of the San Joaquin Valley (SJV) are more sensitive to the uncertainties in the soil initialization than they are in the SV. In the northern SJV, the simulated low-level winds are overall more sensitive to the uncertainties in the large-scale upper-level atmospheric forcing than to those in the soil initialization. This spatial variation in sensitivity reflects the important roles that the large-scale forcing, specified by the lateral boundary conditions and the local forcing associated with the soil state, play in controlling the low-level winds in the CV.
机译:使用散布图研究了为期5天的加利福尼亚州中央谷地(CV)的天气和研究预测(WRF)模型模拟​​的低风对大气强迫和土壤初始化不确定性的敏感性这种情况是CV夏季与空气质量不良事件相关的典型情况。假定可以通过两个独立的操作分析来近似这些不确定性。首先,使用散点图说明灵敏度,并根据来自两个模拟的输出的线性回归来测量灵敏度,这两个模拟在大气强迫或土壤初始化方面都不同。然后研究灵敏度的空间变化,并将其与CV内主要的低水平流量相关联。该案例研究的结果表明,在典型CV的北部CV [即萨克拉门托山谷(SV)]中,WRF模拟的低空风对大气强迫的不确定性比对土壤初始化的不确定性更为敏感。夏季的天气状况,容易导致简历中的空气质量差。在圣华金河谷(SJV)最南端的模拟低空风比在SV中对土壤初始化的不确定性更为敏感。在SJV北部,模拟的低空风总体上对大规模高层大气强迫的不确定性比对土壤初始化的不确定性更为敏感。灵敏度的这种空间变化反映了由横向边界条件和与土壤状态相关的局部强迫所指定的大规模强迫在控制CV中的低层风中所起的重要作用。

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