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Rukiye Uzun Arslan

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Open access Aug 2026

Interpretable Machine Learning for Monthly Mean Air Temperature Modeling Under Correlated Meteorological Predictors: A Single-Station Case Study in Zonguldak, Türkiye

Reliable modelling of monthly air temperature is relevant to station-scale climate assessment and the evaluation of meteorological data-driven models. However, station-scale monthly meteorological datasets often contain correlated and partially redundant predictors because thermal, moisture, precipitation, wind, and se...

Rukiye Uzun Arslan, İrem Şenyer Yapıcı, Berna Aksoy · 0 citations

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