The Initial Perturbation for Mesoscale Predictability

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The initial conditions and the effective models are important for weather prediction. The efficiency of the forecast depends on the initial conditions. There are many processes that are used to generate the initial conditions, in this research will be generate the initial conditions by the regular perturbation method because it can be used to the big data for weather prediction. The weathers prediction by the single level primitive equation model (SILEPE). The data used in this study from Intergovernmental Panel on Climate Change (IPCC). The forecast error between observed data and forecast data used to the Mean Absolute Deviation (MAD). The results to show that the regular perturbation method can be used to generate the initial conditions for the northeast monsoon prediction on 4 days forecast.

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Edited by:

Dr. Noppakun Sanpo, Dr. Jirasak Tharajak and Dr. Paisan Kanthang

Pages:

212-216

Citation:

S. Saiuparad, "The Initial Perturbation for Mesoscale Predictability", Applied Mechanics and Materials, Vol. 879, pp. 212-216, 2018

Online since:

March 2018

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