JP-Yoyogi: Manabe_1T

NOTE: Results presented here are highly dependent on how models are configured in this experiment and may be subject to variable output formatting errors. Results are not intended to indicate the quality of any individual model, but to help participants better understand and improve modelling approaches in different urban environments.

Submitted metadata

• Baseline
• Detailed

Error metrics

flux	experiment	MAE	MBE	nSD	R	5th	95th	RMSE	cRMSE	AMBE	1-nSD	1-R	nSkewness	nKurtosis	Overlap
SWup	baseline	13.8831	12.5349	1.39824	0.965	0.901331	43.0863	21.0188	0.506428	12.5349	0.398236	0.035	0.28495	0.754521	0.165409
SWup	detailed	5.70725	-0.472016	1.05953	0.963742	1.26166	7.65353	9.45699	0.283506	0.472016	0.059524	0.0362578	0.343607	1.26586	0.0978086
LWup	baseline	17.4666	16.2616	1.30127	0.96123	0.321568	56.3968	27.4993	0.437796	16.2616	0.30127	0.0387703	1.81967	1.26992	0.0773438
LWup	detailed	16.3351	15.0101	1.29914	0.960892	0.348292	55.8098	26.7511	0.437147	15.0101	0.299137	0.0391083	1.92729	1.35796	0.0697275
Qle	baseline	21.8065	-17.6729	0.434088	0.54614	1.33271	61.0101	36.766	0.845155	17.6729	0.565912	0.45386	0.163877	0.437905	0.32628
Qle	detailed	21.7068	-17.1948	0.453529	0.537045	1.21817	59.5115	36.6236	0.847678	17.1948	0.546471	0.462955	0.175895	0.504864	0.308216
Qh	baseline	33.4384	-5.76639	0.903132	0.699813	8.66435	17.1724	49.3908	0.742698	5.76639	0.0968679	0.300187	0.346444	1.19042	0.150831
Qh	detailed	34.5091	2.2056	1.08001	0.722541	4.19848	15.8948	51.4505	0.778281	2.2056	0.0800137	0.277459	0.299091	1.00933	0.111514

• MAE: mean absolute error (close to 0 is better)
• MBE: mean bias error (close to 0 is better)
• NSD: ratio of model to obs standard deviation (close to 1 is better)
• R: Pearson’s correlation (close to 1 is better)
• all others: closer to 0 is better

Link to variable definitions

subset_SWup_v0-9

out of range: baseline

out of range: detailed

Link to variable definitions