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C. Șerban

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Open access Oct 2026

Exploring SPI-Based Machine Learning and Statistical Models for Drought Prediction in Southeastern Romania

This study analyzes the performance of several forecasting models applied to Standardized Precipitation Index (SPI) time series for the 1967–2021 period, using data from six weather stations in southeastern Romania. Four temporal aggregation scales (SPI3, SPI6, SPI12, and SPI24) were considered for one-step-ahead (one-...

C. Șerban, Anata-Flavia Ionescu, C. Maftei et al. · 0 citations

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