Table 1 Statistics of different flood model performance metrics

From: GPU-accelerated city-scale urban flood forecasting for real-time decision-making

Model comparison

IoU

Recall

Precision

F1-score

Bias

Area similarity (%)

HAND vs. SAR

0.30

0.31

0.75

0.42

0.46

54.98

SWMM-HEC-RAS-2D vs. SAR

0.35

0.39

0.85

0.49

0.37

62.88

GPU (SynxFlow) vs. SAR

0.60

0.65

0.91

0.74

0.32

76.42

  1. Domain average performance metrics of GPU-based SynxFlow and CPU-based SWMM–HEC-RAS-2D and HAND models against CNN-SAR observations for the City of Chicago region. The definition of each performance metric is provided in the Supplementary Material Section A.
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