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Model for downscaling and validating GLDAS groundwater storage anomalies
This dataset underpins a framework for statistically downscaling GLDAS‑2.2 groundwater storage anomalies (GWSA) from a coarse 0.25° spatial resolution to a finer 0.05°... -
Leveraging historic streamflow and weather data with deep learning for enhanc...
This study evaluates deep learning methods for daily streamflow prediction in data-scarce contexts, using two headwater catchments of the Steelpoort River (Olifants River basin,...
