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Numerical Weather Prediction Introduction

NWP is to quantitatively predict the evolution of atmospheric state, determined by temperature, wind, humidity, and pressure through numerical simulations. The current atmospheric state is determined by the interpolation of various obserational data onto regularly spaced model grid points.

The governing equations of atmospheric motion in the model are integrated from the initial state to project the future state. The Numerical outputs from the model are used as a guideline for the interpretation of local weather elements, when the forecasters prepare the weather forecasts. The outputs are further processed to diagnose the ocean wave height. The statistical models are also used for the objective interpretation of weather elements such as the maximum and minimum temperatures and probability of precipitation (PoP).

Several numerical models such as Regional Data Assimilation and Prediction System (RDPS) and Global Data Assimilation and Prediction System (GDAPS) are operationally being used in the acquired supercomputer, Cray XE6 at NCMS Ochang