Analysis of the memory mechanism in the pan evaporation phenomenon by the band similarity method

Yilmaz, Volkan

doi:10.1007/s00704-023-04502-4

Theor Appl Climatol

2023

DOI: 10.1007/s00704-023-04502-4

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Analysis of the memory mechanism in the pan evaporation phenomenon by the band similarity method

Volkan Yilmaz

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2024

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Cited by 2 publications

References 41 publications

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Performance of data-driven models based on seasonal-trend decomposition for streamflow forecasting in different climate regions of Türkiye

Yilmaz,

Koycegiz,

Buyukyildiz

2024

Physics and Chemistry of the Earth, Parts A/B/C

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Performance of data-driven models based on seasonal-trend decomposition for streamflow forecasting in different climate regions of Türkiye

Yilmaz,

Koycegiz,

Buyukyildiz

2024

Physics and Chemistry of the Earth, Parts A/B/C

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An approach on the estimation and temporal interaction of runoff: the band similarity method

Yilmaz,

Koycegiz,

Buyukyildiz

2024

Journal of Water and Climate Change

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This study is based on the investigation of the performance of the band similarity (BS) method, which is quite new in the literature, in the prediction of flow and in determining the memory properties of the flow phenomenon. For this purpose, flow prediction models for the monthly flow data of the Sarız station, located in the Seyhan Basin in Türkiye, were produced first with the particle swarm optimization (PSO) algorithm. Second, these models were used in the BS method to create the BSPSO approach. Then, flow prediction was made for the same data set with support vector regression (SVR). In the test period, the standalone PSO, BSPSO, and SVR models achieved the most successful Nash–Sutcliffe efficiency (NSE) values of 0.516, 0.691, and 0.659, respectively. As a result, it was seen that BS increased the success of PSO by approximately 35%.

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Analysis of the memory mechanism in the pan evaporation phenomenon by the band similarity method

Cited by 2 publications

References 41 publications

Performance of data-driven models based on seasonal-trend decomposition for streamflow forecasting in different climate regions of Türkiye

Performance of data-driven models based on seasonal-trend decomposition for streamflow forecasting in different climate regions of Türkiye

An approach on the estimation and temporal interaction of runoff: the band similarity method

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