Fig. 3: Chord diagram showing performance transitions before and after post-processing.
From: Hybrid approaches enhance hydrological model usability for local streamflow prediction
The performance for process-based (E-HYPE, left side of the chord) and hybrid models (E-HYPE integrated with GLM, QM, RF and LSTM, right side of the chord) in predicting streamflow total volume (SMAE; a), high extremes (NSE; b), and low extremes (logNSE; c) are presented. The diagram visualizes how stations transition across six performance groups. The width of each chord represents the proportion of stations shifting between performance groups, highlighting improvements or deteriorations due to post-processing. Portions of stations that experienced performance jumps (i.e., from fair to very good, and from poor to good/very good), are displayed below each chord diagram.
