Proceedings of the 2016 International Conference on Economy, Management and Education Technology

The Average Surface Temperature in Antarctica

Authors
Ruiyang Li
Corresponding Author
Ruiyang Li
Available Online May 2016.
DOI
https://doi.org/10.2991/icemet-16.2016.273How to use a DOI?
Keywords
The Average Earth Land Surface Temperature; Inverse Distance To A Power Method; Gray Prediction; Hermit Cubic Interpolation; Meshing
Abstract

The average Earth land surface temperature is a key indicator of climate change and global warming. To estimate the average Earth land surface temperature, we use inverse distance to a power method for spatial interpolation of Antarctica. By observing various automatic weather station data, we estimate that the average surface temperature of the unknown, and then we use gray prediction model for Antarctica mean surface temperature prediction and description. We found that the model error control in 0.2%, with a more accurate fitting resistance, which can be well predicted mean surface temperature in Antarctica.

Copyright
© 2016, 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 2016 International Conference on Economy, Management and Education Technology
Series
Advances in Social Science, Education and Humanities Research
Publication Date
May 2016
ISBN
978-94-6252-193-3
ISSN
2352-5398
DOI
https://doi.org/10.2991/icemet-16.2016.273How to use a DOI?
Copyright
© 2016, 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  - Ruiyang Li
PY  - 2016/05
DA  - 2016/05
TI  - The Average Surface Temperature in Antarctica
BT  - Proceedings of the 2016 International Conference on Economy, Management and Education Technology
PB  - Atlantis Press
SP  - 1259
EP  - 1263
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemet-16.2016.273
DO  - https://doi.org/10.2991/icemet-16.2016.273
ID  - Li2016/05
ER  -