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首页> 外文期刊>Atmospheric research >The impact of modified rate of precipitation conversion parameter in the convective parameterization scheme of operational weather forecast model (GFS T1534) over Indian summer monsoon region
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The impact of modified rate of precipitation conversion parameter in the convective parameterization scheme of operational weather forecast model (GFS T1534) over Indian summer monsoon region

机译:印度夏季季风区运营天气预报模型(GFS T1534)对流参数化方案修改率的影响

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The performance of the present operational global forecast system (GFS) at T1534 (similar to 12.5 km) horizontal resolution with modified fractional cloud condensate to precipitation conversion parameter in the revised simplified Arakawa-Schubert (RSAS) convection scheme is evaluated for the summer monsoon seasons of 2018 and 2019 over the Indian region. The modified parameter has the form of an exponentially decreasing function of temperature above the freezing level. In contrast, below the freezing level, it is constant and is similar to default conversion parameter. The results reveal that the GFS T1534 with modified conversion parameter (EXPT) shows better fidelity in forecasting the mean summer monsoon rainfall over the Indian subcontinent region as compared to default GFS T1534 (CTRL). The rainfall probability distribution function analysis indicates a notable improvement in forecasting moderate and heavier category rainfall in EXPT as compared to CTRL. The improved distribution of total rainfall is found to be contributed by the proper forecasting of convective and large-scale rainfall in EXPT. It is likely that the reduced rate of conversion of cloud condensate to convective precipitation above the freezing level leads to a reduction in the convective rainfall, which eventually increases the moisture in the upper level through detrainment and hence enhances the large-scale precipitation. Further, EXPT shows relative improvement in forecasting outgoing longwave radiation, wind circulation, cloud fraction, dynamical-thermodynamical processes, and moist-convective feedback through improved lower tropospheric moistening over the Indian region. Finally, various skill score analyses suggest that EXPT shows better skill in predicting moderate and heavier category rainfall with longer lead time over the Indian subcontinent region. Considering the large socioeconomic impact of heavy and extreme precipitation over India, the modified conversion parameter can be incorporated in the present operational GFS T1534 model.
机译:目前运营的全球预测系统(GFS)在T1534(类似于12.5公里)的水平分辨率,在修订的简化Arakawa-Schubert(RSAS)对流方案中评估了修改的分数云凝结到降水转换参数的水平分辨率进行评估为夏季季风季节2018年和2019年在印度地区。修改的参数具有高于冷冻水平的温度的指数下降低的形式。相反,低于冻结级别,它是常量的并且类似于默认转换参数。结果表明,与修改转换参数(EXPT)的GFS T1534在预测印度夏季季风降雨中,与默认GFS T1534(CTRL)相比,预测印度夏季季风降雨的平均夏季季风降雨显示出更好的保真度。降雨概率分布函数分析表明,与CTRL相比,在EXPT中预测中等和更重物的降雨的显着改善。发现总降雨量的改善是通过对流和大规模降雨的适当预测来贡献。云的转化率降低可能降低到冷冻水平以上的对流降沉淀导致对流降雨的降低,这最终通过碎屑增加了上层的水分,因此增强了大规模降水。此外,通过改善印度区域的较低的对流层润湿,expt显示出预测输出长波辐射,风循环,云分数,动态热力学过程和潮湿的反馈。最后,各种技能评分分析表明,EXPT表明,在印度次大陆地区的较长时间内,延长了预测中等和更重物的降雨。考虑到印度重和极端降水的大型社会经济影响,修改的转换参数可以包含在本操作GFS T1534模型中。

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