THE MODEL STUDY OF THE SOUTH CHINA SEA METEOROLOGICAL DATAUSING ENHANCED SYSTEM MODELING METHOD
Yonggang Chen · Journal of Tropical Meteorology · 2004
The paper introduces a dynamic data system modeling method. Using the improved system modeling method, the paper studies the model of the South China Sea temperature data and verifies the model's validity. Then the stability, the reversibility and the correctness are discussed based on the Green function, the inverse function and the autocorrelations function deduced from the model. The paper also analyzes and discusses the frequency properties and the spectrum function. Figures are also shown in the paper. Based on the adaptability test of the model, we can draw the conclusions that the ARMA (4, 3) model is most suitable for the South China Sea Meteorological Data and the model is stable and reversible. All the modeling and analysis procedures are realized by MATLAB software. The result shows that the method is simple and easy to apply in practice. It can be used to determine the rational model quickly and accurately.