Author

E. Gül

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Open access Sep 2026

CryoSENSE-HK: Explainable Lead-Time Forecasting of ERA5-Land Snow State, Bounded by Station and Physically Based References (Hakkari, Türkiye)

In the semi-arid Cilo-Sat cryosphere of Hakkari Province, Türkiye, mountain snow is the dominant freshwater store, and a sparse ground network leaves reanalysis as the only practical source of data. This study introduces CryoSENSE-HK, an explainable machine-learning framework that forecasts ERA5-Land snow cover, snow w...

E. Gül · Water · 0 citations

Open access Oct 2026

Climatic Drivers of Water Availability in the Atatürk Dam Basin: An Explainable Machine-Learning (XGBoost–SHAP) Framework Using ERA5-Land (1950–2025)

Water availability in the Atatürk Dam basin, the largest reservoir of the Southeastern Anatolia Project (GAP) and a snow-fed Euphrates headwater, is sensitive to warming, yet its climatic drivers have not been ranked. Existing studies use trend tests, process models, or black-box machine learning. This study attributes...

E. Gül · Adıyaman Üniversitesi Mühend... · 0 citations