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Numerical Simulation of Orographic-Convective Rainfall with Kuo and Betts-Miller Cumulus Parameterization Schemes

机译:Kuo和Betts-Miller积云参数化方案对地形对流降水的数值模拟

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Two different cumulus parameterization schemes, one developed by Kuo and the other by Betts-Miller, are used to simulate the orographic-convective rainfall associated with the Western Ghats for two days during which monsoon rainfall was moderate to heavy. A ten-layer primitive equation limited area nested grid model is used to perform numerical simulations. It is found that predicted rainfall near the Western Ghats with the Kuo scheme agrees well with the observations. With the Betts-Miller scheme, model failed to predict rainfall over this region.To find out uncertainties in the adjustment parameters used in the Betts-Miller scheme, five sensitivity experiments are performed. Different values are assigned to the two adjustment parameters, namely the relaxation time scale and the saturation pressure departure, in each of the sensitivity experiments. Results from these sensitivity studies indicate that specification of relaxation time scale depends on the model horizontal resolution. Relaxation time scale needs to be smaller as the model horizontal resolution increases. Also, rainfall predictions are less sensitive to different values of relaxation time scales than those for the saturation pressure departure. Variations in the prescribed thermodynamic reference profiles caused by small prescribed changes in the values of saturation pressure departure led to improvements in the rainfall predictions. It was also found that there exists a lower limit on the values of relaxation time scales and saturation pressure departures for the monsoon region beyond which predicted rainfall rates do not show further improvement.
机译:两种不同的积云参数化方案,一种是由Kuo开发的,另一种是由Betts-Miller开发的,用于模拟与西高止山脉相关的地形对流降水两天,在此期间季风降雨为中度至重度。十层原始方程式有限区域嵌套网格模型用于执行数值模拟。研究发现,利用Kuo方案预测的西高止山脉附近的降雨量与观测值非常吻合。使用Betts-Miller方案时,模型无法预测该地区的降雨。为找出Betts-Miller方案中使用的调整参数的不确定性,进行了五个敏感性实验。在每个灵敏度实验中,将不同的值分配给两个调整参数,即松弛时间标度和饱和压力偏差。这些敏感性研究的结果表明,弛豫时间尺度的规格取决于模型的水平分辨率。随着模型水平分辨率的提高,弛豫时间的标度应更小。而且,降雨预测对弛豫时间标度的不同值的敏感性比饱和压力偏离的敏感性低。由饱和压力偏差值的小的规定变化引起的规定热力学参考曲线的变化导致降雨预测的改善。还发现,季风区的弛豫时间标度和饱和压力离差值存在一个下限,超过该范围,预测的降雨率没有进一步改善。

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