首页> 外文期刊>Mausam: Journal of the Meteorological Department of India >Simulation of monsoon depression over India using high resolution WRF Model — Sensitivity to convective parameterization schemes
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Simulation of monsoon depression over India using high resolution WRF Model — Sensitivity to convective parameterization schemes

机译:使用高分辨率WRF模型模拟印度季风低压—对对流参数化方案的敏感性

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摘要

The monsoon depression of September 2008, which crossed Orissa coast near Chandbali on 16th had contributed heavy rainfall over Orissa, Chhattisgarh and northern India along the track of the system. The sensitivity of three cumulus parameterization schemes viz., Kain-Fritch (KF) scheme, Grell-Devenyi (GD) scheme and Betts-Miller-Janjic (BMJ) Scheme are tested using high resolution advanced version (3.0) Weather Research Forecasting (WRF) model in forecasting the monsoon depression. The results of the present study shows that the genesis of the system was almost well captured in the model as indicated in 48hr forecast with all three convective parameterization schemes. It is seen that the track of monsoon depression is quite sensitive to the cumulus parameterization schemes used in the model and is found that the track forecast using three different cumulus schemes are improved when the model was started from the initial condition of a depression stage compared to that when it started from the initial condition of low pressure area. It is also seen that when the system was over land all the schemes performed reasonably well with KF and GD schemes closely followed the observed track compared to that of BMJ track. The performance of KF and GD schemes are almost similar till 72 hrs with lowest landfall error in KF scheme compared to other two schemes, whereas the BMJ scheme gives lowest mean forecast error upto 48 hr and largest mean forecast error at 72 hr. The overall rainfall forecast associated with the monsoon depression is also well captured in WRF model with KF scheme compared to that of GD scheme and BMJ scheme with observed heavy rainfall over Orissa, Chhattisgarh and western Himalayas is well captured in the model with KF scheme compared to that with GD scheme and BMJ scheme.
机译:2008年9月的季风洼地于16日越过Chandbali附近的奥里萨邦海岸,沿该系统的轨道在奥里萨邦,恰蒂斯加尔邦和印度北部造成了大雨。使用高分辨率高级版本(3.0)气象研究预报(WRF)测试了三种积云参数化方案的敏感性,即Kain-Fritch(KF)方案,Grell-Devenyi(GD)方案和Betts-Miller-Janjic(BMJ)方案)模型来预测季风低压。本研究的结果表明,如使用所有三种对流参数化方案进行的48小时预报所示,该系统的成因在模型中几乎被很好地捕获。可以看出,季风depression陷的轨道对模型中使用的积云参数化方案非常敏感,并且发现从该模型从condition陷阶段的初始条件开始时,使用三种不同积云方案的轨道预报将得到改善。从低压区域的初始状态开始。还可以看到,当系统处于陆上状态时,与BMJ轨道相比,KF和GD方案的所有方案都表现得相当好。与其他两个方案相比,KF和GD方案的性能直到72小时几乎与KF方案相比具有最低的登陆误差,而BMJ方案的最低平均预报误差为48 hr,最大的平均预报误差为72 hr。与GD方案和BMJ方案相比,在WRF模型的KF方案中也很好地捕获了与季风低压有关的整体降雨,而在与KF方案的模型中,在Orissa,Chhattisgarh和喜马拉雅西部观测到的强降雨也得到了很好的捕获。 GD方案和BMJ方案。

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