Meteorological Statistical Analysis and Forecast Methods

Author: Huang Jiayou
Publisher:
Publish Date: 2004-03-01
Features: This book primarily introduces the fundamental theories and computational methods in meteorology related to weather statistical analysis and forecasting. It systematically reviews currently widely used methods both domestically and internationally, such as multivariate analysis (regression analysis, principal component analysis, factor analysis, discriminant analysis, cluster analysis), and time series analysis (autoregressive moving average models, spectral analysis, and Markov chain analysis). The book focuses on teaching these methods, their basic principles, computational steps, and their applications in weather analysis and dynamical forecasting. This book has been reviewed by the China Meteorological Administration's Higher Education Textbook Review Committee for Atmospheric Sciences and confirmed by the Ministry of Education's Higher Education Teaching Guidance Committee as a general undergraduate textbook. Additionally, it can serve as a reference book for teaching at junior colleges and universities in relevant fields. It also holds reference value for meteorological practitioners.