Modeling and simulation of summer monsoon rainfall for Northern Hilly Area of Pakistan

M. Tufail, Saqib-ur-Rehman, B. Usmani
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Abstract

This study assesses the inter-annual variability of summer monsoon rainfall of Northern Hilly Area of Pakistan, which includes Balakot, Chitral, Murree, Gilgit, Skardu, Chilas, Muzaffarabad and Dir. The region receives a heavy rainfall, the total annual rainfall being 1000 mm or more. We attempt to model the rainfall process of the data from 1971-2000. Initially we use twelve predictors out of which only four, viz., sea surface temperature (SST-10a), temperature of Hyderabad city of Pakistan (HT-5) and pressure of Kakul (KP-10)and Lahore (LP-3), are selected with the help of stepwise multiple linear regression. The mean square error of the regression model is found to be 13.8%. Since the entire modeling procedure is based on selected predictors, we suggest that the selected predictors, which are selected here according to their correlation, should be refined by using more sophisticated technique such as principal component analysis, or nonlinear correlations.
巴基斯坦北部丘陵地区夏季季风降雨的模拟与模拟
本研究评估了巴基斯坦北部丘陵地区夏季季风降雨的年际变化,包括Balakot、Chitral、Murree、Gilgit、Skardu、Chilas、Muzaffarabad和Dir。该地区雨量充沛,年总降雨量在1000毫米以上。我们试图模拟1971-2000年数据的降雨过程。最初,我们使用了12个预测因子,其中只有4个,即海面温度(SST-10a),巴基斯坦海得拉巴市的温度(HT-5)和卡库尔(KP-10)和拉合尔(LP-3)的压力,是在逐步多元线性回归的帮助下选择的。回归模型的均方误差为13.8%。由于整个建模过程是基于所选择的预测因子的,我们建议根据它们的相关性来选择所选择的预测因子,应该通过使用更复杂的技术,如主成分分析或非线性相关性来改进。
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