摘要
气象要素日变化进程数值模拟问题涉及多个因素,传统线性模型无法得到准确的数值模拟结果,所以提出基于时间序列的气象要素日变化进程数值模拟方法。对气象要素日数据进行采集,建立气象要素数据库,构造不同气象要素表,编写数据转换至入库程序,实现气象要素数据预处理。把气象要素日进程动态数据数值模拟问题转变成计算一个高维非线性常微分方程问题进行分析求解,得到相应的气象要素日变化进程数值模拟结果。经验证结果表明,本研究数值模拟准确,应用性强。
There are many factors involved in the numerical simulation of daily variation process of meteorological elements. The traditional linear model can not get accurate numerical simulation results. Therefore, a numerical simulation method based on time series is proposed. The daily data of meteorological elements are collected, the database of meteorological elements is established, the tables of different meteorological elements are constructed, and the program of data conversion to storage is compiled to realize the data preprocessing of meteorological elements. In this paper, the numerical simulation of daily process data of meteorological elements is transformed into the problem of calculating a high-dimensional nonlinear ordinary differential equation, and the corresponding numerical simulation results of daily variation process of meteorological elements are obtained. The results show that the numerical simulation is accurate and has strong applicability.
作者
王海燕
鲁岳
刘新雨
WANG Hai-yan;LU Yue;LIU Xin-yu(Jiuquan Meteorological Bureau,Jiuquan 735000 China)
出处
《自动化技术与应用》
2022年第2期33-37,共5页
Techniques of Automation and Applications
基金
酒泉市科技计划项目(2020016)。
关键词
时间序列
气象要素
日变化进程
数值模拟
time series
meteorological elements
daily change process
numerical simulation
