Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

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/).

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Volume Title
Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-331-9
ISSN
2352-5401
DOI
10.2991/fmsmt-17.2017.203How to use a DOI?
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  -