Research Journal of Applied Sciences

Year: 2018
Volume: 13
Issue: 1
Page No. 94 - 102

Simulation of Large Scale Resolution IAP DCP Model for Pre-Monsoon and Southwest Monsoon Events over Indo China Peninsular

Authors : Usa Humphries, Pramet Kaewmesri, Prungchan Wongwies, Boonlert Archevarapuprok and Sirapong Sooktawee

Abstract: The aim of this research was to use the Institute of Atmospheric Physics Dynamical Seasonal Prediction (IAP DCP) Model to simulate rainfall over the Indochina Peninsular with a domain of 5° by 4° grid spacing. The IAP DCP Model was shown to simulate monsoon events over the ICP during the pre-monsoon and Southwest monsoon seasons during a period starting in the year 2000 and concluding in 2015. The observation data was compared to the results from The Global Precipitation Climatology Project Version-2.3 (GPCP). Gathering the area average rate of rainfall was the first step in comparing the results between the IAP DCP and GPCP. The second step used a statistical method (RMSE and MAE) to compare the results from the IAP DCP. The third step, regarding the mean rate of rainfall spatial distribution of pre-monsoon, can capture the trend rate of rainfall over the centre and North of Thailand. In the same way, the mean rate of rainfall spatial distribution of Southwest monsoons is accepted over India, Myanmar, Laos and Thailand. In general, the performance of simulation by the IAP DCP gave a good rate of rainfall area prediction when compared with GPCP data over the ICP. However, the mem_mean performed better in simulating statistics and spatial distribution when compared with other members. The mem_mean technique of seven members demonstrated an improved performance for the rate of rainfall and showed good statistical value in this research.

How to cite this article:

Usa Humphries, Pramet Kaewmesri, Prungchan Wongwies, Boonlert Archevarapuprok and Sirapong Sooktawee, 2018. Simulation of Large Scale Resolution IAP DCP Model for Pre-Monsoon and Southwest Monsoon Events over Indo China Peninsular. Research Journal of Applied Sciences, 13: 94-102.

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