Warming Substantiated by Multiple Sine Functions Decomposition of Multiple Cities' Temperature Data

被引:0
|
作者
Zhang, Yunong [1 ,2 ,3 ]
Ma, Jingyao [1 ,2 ,3 ]
Qiu, Binbin [1 ,2 ,3 ]
Ding, Sitong [1 ,2 ,3 ]
Yang, Zhi [1 ,2 ,3 ]
机构
[1] Sun Yat Sen Univ, Sch Informat Sci & Technol, Guangzhou 510006, Guangdong, Peoples R China
[2] SYSU CMU Shunde Int Joint Res Inst, Foshan 528300, Peoples R China
[3] Minist Educ, Key Lab Autonomous Syst & Networked Control, Guangzhou 510640, Guangdong, Peoples R China
来源
2015 CHINESE AUTOMATION CONGRESS (CAC) | 2015年
关键词
Temperature; Forecast; Multiple sine functions decomposition (MSFD); Warming trend; TRENDS; MODEL;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In recent years, extensive efforts have been committed to the temperature forecast work, and more and more studies have indicated that the temperature is rising. For the purpose of forecasting long-term temperature trend, a temperature forecast method named multiple sine functions decomposition (MSFD) method is presented in this paper. Based on the numerical experiments for 12 Asia-Pacific (APAC) cities, the efficacy of the MSFD method and the warming trend of APAC region are substantiated. The core concept of the MSFD method is that, by decomposing a historical temperature sequence into sine waveforms, multiple sine functions are thus obtained and applied to forecasting the future temperature trend. Different degrees of warming in the ensuing 200 years are forecasted from the results of numerical experiments. In addition, we find that the high-latitude cities are generally more evident in terms of temperature change compared with those low-latitude cities. In summary, with the most possibility, the general temperature trend of APAC region is upward.
引用
收藏
页码:70 / 74
页数:5
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