Open AccessPREDICTION OF CLIMATE CHANGE USING ARIMA MODEL
Author(s) -
D Hebsiba beula,
AUTHOR_ID,
Sudarsan Srinivasan,
C. D. Nanda Kumar,
AUTHOR_ID,
AUTHOR_ID
Publication year - 2021
Publication title -
ymer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.103
H-Index - 5
ISSN - 0044-0477
DOI - 10.37896/ymer20.12/21
Subject(s) - climate change , autoregressive integrated moving average , extreme weather , reinsurance , climate risk , flood myth , actuarial science , meteorology , climatology , computer science , business , environmental science , geography , time series , ecology , archaeology , machine learning , geology , biology
The climate and weather system prediction has always attracted interest. Climate change risks including physical risks, liability risks and transition risks, it’s directly affecting the insurance industry. Climate change is majorly affecting the insurance sector; they are such as extreme heat during summer and extreme rainfall (Flood). It affects both insurance and reinsurance sector. Constructing the model is a necessary process but choosing the model which suits our data is very necessary. In those days the weather reports telecast in news but now even our smart phone notified the weather. In this paper study the climate prediction algorithms using R and also using Cost-free R language tool to forecast the climate using time ARIMA model for the Indian climate.