Ensemble flash flood predictions using a high-resolution nationwide distributed rainfall-runoff model: case study of the heavy rain event of July 2018 and Typhoon Hagibis in 2019

Progress in Earth and Planetary Science

Table 2 Values of the verification metrics for the F18 simulation at each dam reservoir.

Dam name	Region	Peak runoff [mm/h]	r	α	β	KGE	NSE	PE
Kuzuryu	Kinki	14.0	0.93	1.14	0.90	0.81	0.68	0.81
Hiyoshi	Kinki	15.3	0.97	1.14	1.14	0.80	0.90	1.08
Hitokura	Kinki	18.8	0.94	1.02	1.15	0.84	0.75	1.01
Tomata	Chugoku	10.8	0.95	1.15	1.26	0.70	0.74	1.01
Hattabara	Chugoku	12.4	0.96	1.06	1.30	0.69	0.74	0.91
Haizuka	Chugoku	16.7	0.94	0.83	1.10	0.79	0.80	0.71
Nagayasuguchi	Shikoku	20.9	0.98	1.02	0.74	0.74	0.79	0.89
Nomura	Shikoku	34.4	0.90	0.70	0.81	0.63	0.61	0.58
Shingu	Shikoku	14.5	0.81	0.79	0.94	0.72	0.53	0.80
Tomisato	Shikoku	19.5	0.95	1.01	0.84	0.83	0.76	0.68
Nakasujigawa	Shikoku	22.2	0.95	1.45	1.26	0.48	0.56	1.13
Odo	Shikoku	10.8	0.97	1.10	0.92	0.87	0.88	1.02
Samerura	Shikoku	22.3	0.93	0.94	0.82	0.80	0.69	0.75
Terauchi	Kyushu	24.3	0.97	1.08	0.99	0.91	0.84	0.95
Egawa	Kyushu	25.2	0.97	0.95	0.84	0.83	0.84	0.79
Ryumon	Kyushu	24.6	0.98	1.12	1.05	0.87	0.85	0.94
Shimouke	Kyushu	23.5	0.98	1.00	0.99	0.97	0.87	0.86
Yabakei	Kyushu	21.7	0.92	0.84	1.03	0.81	0.72	0.69
Mean		19.5	0.94	1.02	1.00	0.78	0.75	0.87
Median		20.2	0.95	1.02	0.99	0.81	0.75	0.87
Standard deviation		5.9	0.04	0.17	0.16	0.11	0.10	0.15