@article{MAKHILLRJAS201813110066,
    title = {Simulation of Large Scale Resolution IAP DCP Model for Pre-Monsoon and
Southwest Monsoon Events over Indo China Peninsular},
    journal = {Research Journal of Applied Sciences},
    volume = {13},
    number = {1},
    pages = {94-102},
    year = {2018},
    issn = {1815-932x},
    doi = {rjasci.2018.94.102},
    url = {https://makhillpublications.co/view-article.php?issn=1815-932x&doi=rjasci.2018.94.102},
    author = {Usa,Pramet,Prungchan,Boonlert and},
    keywords = {LAP DCP,GPCP,pre-monsson,Southwest monsoon,statistical,rainfall,Physics},
    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.}
    }