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该书从Markov链理论出发,探讨用随机模拟方法建立各种统计或动力模式,并应用于大气和水文科学各个领域。全书共分三篇7章:第一篇为基础篇,叙述Markov过程与隐式Markov过程的基本理论;基于Markov理论的随机模拟方法与时空降尺度技术;第二篇为应用篇,介绍基于Markov链的天气气候变量的随机模拟技术方法;第三篇则
Starting from the Markov chain theory, the book explores the use of stochastic modeling to establish various statistical or dynamical models and applies them in all areas of the atmospheric and hydrological sciences. The book is divided into three chapters in seven chapters: the first one is based on the description of the basic theory of Markov process and implicit Markov process; based on Markov theory of random simulation and space-time scaling technology; the second is the application of articles based on Markov Chain of weather and climate variables of the random simulation technology method;