July 2026
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Fattahi et al. (2026) Deep Learning LSTM-Based Model for Predicting SPI and SPEI Drought Indices
The study develops a deep learning LSTM-based model to predict the Standard Precipitation Index (SPI) and Standardized Precipitation-Evapotranspiration Index (SPEI) in two Iranian watersheds, demonstrating superior accuracy and dynamic property preservation compared to traditional time-series models.