Table 1 Performance indicators for the evaluation of flood extents (total scores and medians of map-by-map scores, separated by ⋆, with interquartile range in parentheses, Fig. 5)
From: Modeling surge dynamics improves coastal flood estimates in a global set of tropical cyclones
Model | MCC | F1 | F2 | TNR (%) | Bias |
|---|---|---|---|---|---|
GeoClaw | +0.22 ⋆ +0.10 | 0.34 ⋆ 0.15 | 0.20 ⋆ 0.08 | 89% ⋆ 93% | −0.22 ⋆ −0.18 |
(+0.04 to +0.21) | (0.07 to 0.28) | (0.04 to 0.16) | (87% to 98%) | (−1.51 to +0.72) | |
GeoClaw + Aqueduct | +0.11 ⋆ +0.04 | 0.13 ⋆ 0.03 | 0.07 ⋆ 0.01 | 98% ⋆ 99% | −1.65 ⋆ −2.77 |
(+0.00 to +0.08) | (0.00 to 0.08) | (0.00 to 0.04) | (98% to 100%) | (−5.27 to −0.80) | |
GTSM + Aqueduct | +0.10 ⋆ +0.06 | 0.12 ⋆ 0.04 | 0.06 ⋆ 0.02 | 98% ⋆ 99% | −1.74 ⋆ −1.95 |
(+0.00 to +0.11) | (0.01 to 0.12) | (0.00 to 0.07) | (97% to 100%) | (−3.77 to −0.39) | |
CLIMADA | +0.09 ⋆ +0.05 | 0.18 ⋆ 0.05 | 0.10 ⋆ 0.03 | 94% ⋆ 97% | −0.86 ⋆ −1.47 |
(+0.00 to +0.11) | (0.01 to 0.19) | (0.00 to 0.10) | (95% to 100%) | (−3.24 to +0.12) |
