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Since the founding of the People's Republic of China in 1949there has been a rapid advance in climatology in China. The number of climatological stations has increased from less than 100 to more than of Chinese climatologists covers various 2,000, and the research work fields. The climate of China is no longer just a description of the average weather for an area or locality, but covers many fields such as the monsoon climate, the fluctuation of climate, the spatial and temporal variations of the climatic elements and physical and dynam ic climate. Four books on the climate of China, written in Chinese, have been published so far. There is, however, no excellent book written in English on the climate of China, although Volume 8 of the World Survey oj Climatology, dealing with the climates of northern and eastern Asia, edited by H. Arakawa in 1969, contains a chapter on the climate of China and Korea written by LE. M. Watts. The data sources for China are based mainly on observations from 1940-1952 and the climatological charts of China published by the Central Weather Bureau of China in 1953 and 1955. This monograph on The Climate ojChina by Prof. Dr. M. Dom ros and Prof. Peng Gongbing is the first comprehensive and advanced book in English on the climate of China."
In this book the authors consider the natural environment as an integrated system and describe a cohesive approach to its modelling and prediction. The book emphasises the mathematical representation and numerical simulation of the interactions between the various environmental components and those of the environmental processes, including physical, chemical and biological. Furthermore, it summarises some of the recent progress and new developments in the modelling and prediction of the atmosphere, ocean, land surface, continental hydrosphere, cryosphere, etc. The authors also explore new theoretical frameworks in environmental prediction, such as systems analysis and statistical-dynamic modelling. The applications of remote sensing and geographic information systems in environmental modelling and prediction are discussed. Examples of integrated environmental modelling are given
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