Time series analysis of climate variables using seasonal ARIMA approach-Reference-Cited by-同舟云学术

Time series analysis of climate variables using seasonal ARIMA approach

Published:2020-06-27 Issue:1 Volume:129 Page:
ISSN:2347-4327
Container-title:Journal of Earth System Science
language:en
Short-container-title:J Earth Syst Sci

Author:

Dimri Tripti^ORCID,Ahmad Shamshad,Sharif Mohammad

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Link

https://link.springer.com/content/pdf/10.1007/s12040-020-01408-x.pdf

Reference41 articles.

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2. Afrifa-Yamoah E 2015 Application of ARIMA models in forecasting monthly average surface temperature of Brong Ahafo Region of Ghana; Int. J. Stat. Appl. 5(5) 237–246, https://doi.org/10.5923/j.statistics.20150505.08.

3. Aiyelokun O and Olodo A 2017 Forecasting one decade ahead minimum temperature and relative humidity for water resources management in lower Niger; J. Water Security 3 jws2017006, https://doi.org/10.15544/jws.2017.006.

4. Akinbobola A, Okogbue E C and Ayansola A K 2018 Statistical modelling of monthly rainfall in selected stations in forest and savannah eco-climatic regions of Nigeria; J. Climatol. Weather Forecasting 6 S1, https://doi.org/10.4172/2332-2594.1000226.

5. Babazadeh H and Shamsnia S A 2014 Modeling climate variables using time series analysis in arid and semi-arid regions; African J. Agr. Res. 9(26) 2018–2027.

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