A Method of Antarctic Temperature Forecasting Based on Time Series Model
Authors
Liwen Liang
Corresponding Author
Liwen Liang
Available Online April 2017.
- DOI
- 10.2991/fmsmt-17.2017.203How to use a DOI?
- Keywords
- Antarctic Temperature Forecasting, Correlation Analysis, Linear regression analysis, Time series analysis
- Abstract
Based on the analysis of the Antarctic temperature change trend, this paper analyze the influence factors of the surface temperature in Antarctica, and established the corresponding model. Then, it extracts a part of the time series of dynamic data part provided by the site, and drew a timing diagram of sample data and some images about autocorrelation and partial correlation, correlation analysis.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Liwen Liang PY - 2017/04 DA - 2017/04 TI - A Method of Antarctic Temperature Forecasting Based on Time Series Model BT - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017) PB - Atlantis Press SP - 1039 EP - 1043 SN - 2352-5401 UR - https://doi.org/10.2991/fmsmt-17.2017.203 DO - 10.2991/fmsmt-17.2017.203 ID - Liang2017/04 ER -