摘要
运用Markov过程建立模型,以新疆乌鲁木齐市1980~2010年的年降水量资料为基础,探讨Markov模型在年降水量预测中的应用.与其他方法相比,Markov预测法能更加充分地利用已有的信息进行求解和分析,为提高中短期年降水量的预测精度提供了一条研究途径.
The annual rainfall prediction is an important research in meteorology. To predict annual rainfall is very important for agriculture, water conservancy, people＇ s life and so on. In the process of building model, in this paper, we use the Markov process to establish the model, based on the annual precipitation data of Urumqi city in Xinjiang Province in province, and explore the application of Markov chain model in annual precipitation forecast. Compared with other methods, Markov forecasting method can more fully utilize the existing information to solve and analyze, which provides a way to improve file accuracy of the forecast of the annual precipitation in the short term.
出处
《伊犁师范学院学报（自然科学版）》
2016年第2期20-25,共6页
Journal of Yili Normal University：Natural Science Edition
基金
新疆维吾尔自治区气象局吐哈空中水资源项目(TUHA201514)
国家自然科学基金项目(11461063)
国家社科基金项目(14BTJ021)
气象局人影办青年基金项目(RY1403)
新疆维吾尔自治区普通高等学校人文社会科学重点研究基地基金项目(050315B03)
