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Journals / International Journal of Environment and Geoinformatics / 2018 / Cilt: 5 - Sayı: 2

On Some Climatic Scenarios For Turkey From The Perspective of Changes in the Annual Mean Temperatures via Aggregation by Steady-State Distribution

Salih ÇELEBİOĞLU
Pages
197–217
Publication Date
2018-08-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It is also given comments on some scenarios while an extreme scenario as a solution to a few problems is pointed out to which is feared in respect of climatic change.

📌 3 Key Takeaways

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Objective & Hypothesis:In this study, it is tried to give a system of Markov chains approach to the trend of annual mean temperatures in Turkey.
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Key Findings & Data:For this reason, a data of annual mean temperatures between the years 1965 - 2012 of 58 meteorological stations of Turkey are used.
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Conclusion & Impact:It is also given comments on some scenarios while an extreme scenario as a solution to a few problems is pointed out to which is feared in respect of climatic change.
🔬Design:Research Article
📍Scope:2012 Verileri
⚙️Variables:Annual mean temperatures · climatic change · Markov chain

Abstract

In this study, it is tried to give a system of Markov chains approach to the trend of annual mean temperatures in Turkey. For this reason, a data of annual mean temperatures between the years 1965 - 2012 of 58 meteorological stations of Turkey are used. Each scenario is given as a solution to a quadratic programming problem for which is spanned by the transition matrices of twelve groups. The steady-state distribution method given here facilitates the multiple station Markov chain applications. In the meantime, the linear regression approaches in which the averages of station groups are considered as independent variables are as well introduced. It is also given comments on some scenarios while an extreme scenario as a solution to a few problems is pointed out to which is feared in respect of climatic change.

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Cite This Article

ÇELEBİOĞLU, S. (2018). On Some Climatic Scenarios For Turkey From The Perspective of Changes in the Annual Mean Temperatures via Aggregation by Steady-State Distribution. International Journal of Environment and Geoinformatics, Cilt: 5 - Sayı: 2, 197–217. https://ajindex.com/articles/672602

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