Proceedings of the International Conference on Science and Technology (ICST 2018)

Generalized Extreme Value for Climate Change Analysis

Authors
Affiati Oktaviarina, Ayunin Sofro, Hery Sutanto
Corresponding Author
Affiati Oktaviarina
Available Online December 2018.
DOI
https://doi.org/10.2991/icst-18.2018.170How to use a DOI?
Keywords
climate change, extreme value theory, block maxima
Abstract
Impact of climate change is very complex because it occurs in various sector of live such as health, agriculture, forestry and transportation. Extreme weather is one of climate change effect, that is a weather condition or phenomenon above normal that occurs in a particular area with short term duration, for instance average temperature condition in some place is 33 0C then change dramatically to 33-47 °C with rainfall greater than 100 mm and wind speed more than 34 knot. Extreme Value Theory is one of statistical methods which is used for the description of rare events. This research evaluates the performance of Block Maxima approach for modelling average temperature in East Java and estimate how high return level of average temperature will be happened in 100 months later.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the International Conference on Science and Technology (ICST 2018)
Series
Atlantis Highlights in Engineering
Publication Date
December 2018
ISBN
978-94-6252-650-1
ISSN
2589-4943
DOI
https://doi.org/10.2991/icst-18.2018.170How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Affiati Oktaviarina
AU  - Ayunin Sofro
AU  - Hery Sutanto
PY  - 2018/12
DA  - 2018/12
TI  - Generalized Extreme Value for Climate Change Analysis
BT  - Proceedings of the International Conference on Science and Technology (ICST 2018)
PB  - Atlantis Press
SP  - 840
EP  - 842
SN  - 2589-4943
UR  - https://doi.org/10.2991/icst-18.2018.170
DO  - https://doi.org/10.2991/icst-18.2018.170
ID  - Oktaviarina2018/12
ER  -