kdayday/forecasting
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Generate and evaluate probabilistic solar forecasts,
focusing on post-processing numerical weather prediction ensembles.
Options include empirical cumulative distribution functions (CDFs)
suitable for raw ensembles and persistence ensembles; Bayesian
model averaging (BMA) and ensemble model output statistics (EMOS)
post-processing, and some discontinued attempts at kernel density
estimation and spatial aggregation with copulas (not exported).