Analysis of spatio-temporal contexts for short-term wind forecasting

Description This dataset contains the spatiotemporal meteorological time series and analysis outputs generated during a study aimed at optimizing short-term wind forecasting and meteorological network design. The core objective of the research is to empirically identify the maximally informative Spatiotemporal (ST) context—defined as the optimal subset of spatial locations and historical time lags—that maximizes the accuracy of local wind predictions for short-term horizons (1, 3, and 5 hours ahead) while minimizing data redundancy. The dataset reflects a multi-horizon forecasting framework applied to a regional case study in Argentina.