Simulation of intense organized convective precipitation observed during the Arabian Sea Monsoon Experiment (ARMEX)

Simulation of intense organized convective precipitation observed during the Arabian Sea Monsoon Experiment (ARMEX)
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DOI:
10.1029/2006jd007627
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发表时间:
2007-10
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通讯作者:
Someshwar Das;R. Ashrit;M. Moncrieff;M. Gupta;J. Dudhia;Changhai Liu;S. R. Kalsi
Someshwar Das;R. Ashrit;M. Moncrieff;M. Gupta;J. Dudhia;Changhai Liu;S. R. Kalsi
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文献类型:
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作者:
Someshwar Das;R. Ashrit;M. Moncrieff;M. Gupta;J. Dudhia;Changhai Liu;S. R. Kalsi

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[1]我们研究了2002年6月26-28日在印度西海岸形成的一个深降水系统,该系统产生了2-61 cm日-1的强降雨。由于一个东移西风槽和一个向西移季风低压的相互作用,系统发展成一个明显的低压区。我们使用PSU/NCAR中尺度模式(MM 5),使10天的交互嵌套模拟在90,30和10公里的网格分辨率。我们使用的观察,从一个特殊的数据集收集在阿拉伯海季风实验(ARMEX)进行2002年6月至8月。轻推观测结果产生了一个平衡的大气,这反过来又使涡旋的位置与卫星观测到的云团相匹配。模拟的降雨量与观测值吻合较好。然后,我们使用模拟的领域作为强迫和边界条件的MM 5运行在云系统解决模式在2公里网格分辨率的细节云集群嵌入季风扰动。我们研究了不同的物理参数化的敏感性,也连续轻推四维资料同化(FDDA)的降水预报的效果。虽然对流事件的模拟改善了某些物理参数化的组合,降雨没有预测在正确的位置,无论使用哪种参数化,除非连续FDDA在整个集成的所有域中进行。最后,云系统分辨模拟的云团性质与观测进行了比较。
[1] We examine a deep precipitating system that formed over the west coast of India during 26–28 June 2002 producing heavy rainfall of 2–61 cm day−1. The system developed into a well-marked low pressure area due to interaction between an eastward moving westerly trough and a westward moving monsoon low. We used the PSU/NCAR Mesoscale Model (MM5) to make 10-day interactively nested simulations at 90, 30, and 10 km grid-resolutions. We used observations from a special data set collected during an Arabian Sea Monsoon Experiment (ARMEX) conducted June–August, 2002. Nudging the observations produced a balanced atmosphere which, in turn, matched the location of vortex with cloud clusters observed from satellite. The simulated rainfall corresponded well with observations. We then use the simulated fields as forcing and boundary conditions for MM5 run in cloud-system resolving mode at 2 km grid-resolution to detail cloud-clusters embedded within the monsoon disturbance. We examined the sensitivity to different physical parameterizations and also the effect of continuous nudging four dimensional data assimilation (FDDA) on the rainfall forecasts. While the simulation of the convective event improved with certain combinations of physical parameterizations, the rainfall was not forecasted at the correct location, no matter which parameterization was used, unless continuous FDDA was performed in all domains throughout the integrations. Finally, cloud-cluster properties of the cloud-system resolving simulations were compared with observations.