Fig. 5: Improved physical reality of existing datasets.
From: Fusion of multi-source precipitation records via coordinate-based generative models
a Log-transformed histogram of precipitation intensity (2 mm/hr bins) at only gauge locations, aggregated over test sets. This panel highlights the ability of different datasets to reproduce the tail of the precipitation distribution (with the purple line as the ground truth). b Probability density functions (PDFs) of Pearson correlation coefficients (PCCs) between each dataset and the individual gauge observations. Higher PCC values indicate better structural fidelity to ground truth. c Spatial lag correlation maps, with the 0.6 PCC contour visualized for each dataset. Elliptical fits to these contours are used to quantify the spatial coherence, including the major axis length (focal distance, F) and orientation angle (O), as summarized below (c). Colors in panels a–c are illustrated in the legend below.
