Time series analysis of sea surface temperature change in the coastal seas of Türkiye

Bilgili, Mehmet; Durhasan, Tahir; Pinar, Engin

doi:10.1016/j.jastp.2024.106339

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2024

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Cited by 2 publications

References 36 publications

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Comparative time series analysis of SARIMA, LSTM, and GRU models for global SF6 emission management system

Tuğba Önder

2024

Journal of Atmospheric and Solar-Terrestrial Physics

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Comparative time series analysis of SARIMA, LSTM, and GRU models for global SF6 emission management system

Tuğba Önder

2024

Journal of Atmospheric and Solar-Terrestrial Physics

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A Comparative Analysis of Advanced Modeling Techniques for Global Methane Emission Forecasting Using SARIMA, LSTM, and GRU Models

ÖNDER

2024

Preprint

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Forecast methods are an important aid to the early detection of future levels of pollutant amounts released from global pollutants. This research predicts changes in future global methane gas emissions using SARIMA, LSTM, and GRU models, and also compares the accuracy of these three prediction methods. In the study, a time series analysis was conducted by focusing on the monthly methane (CH4) gas emission amounts recorded between 1984 and 2024. Methane emission data measured between 1984 and 2024 were used as input in the development of the models. By comparing the prediction results and actual values, they were evaluated with performance criteria such as R², RMSE, MAE, and MAPE%. The results revealed that all three methods performed well in estimating global methane gas emissions. The SARIMA model shows the best performance, followed by the LSTM and GRU models. It was determined that the SARIMA model had the lowest error rate with 0.0020 MAPE, 0.0335 MAE, 0.0335 RMSE, and 0.9998 R² values. It has been revealed that estimated global methane emission values may be approximately 1.5 times higher than today's level by 2050.

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Time series analysis of sea surface temperature change in the coastal seas of Türkiye

Cited by 2 publications

References 36 publications

Comparative time series analysis of SARIMA, LSTM, and GRU models for global SF6 emission management system

Comparative time series analysis of SARIMA, LSTM, and GRU models for global SF6 emission management system

A Comparative Analysis of Advanced Modeling Techniques for Global Methane Emission Forecasting Using SARIMA, LSTM, and GRU Models

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