JP-Yoyogi: UT&C

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	7.54783	4.9969	1.1598	0.968292	1.10277	16.5983	11.6167	0.314778	4.9969	0.159797	0.0317079	0.00593182	0.0702026	0.113265
SWup	detailed	5.50969	-1.15607	1.01127	0.965876	1.27936	0.643421	8.83637	0.262951	1.15607	0.0112673	0.0341237	0.0125601	0.153114	0.0903963
LWup	baseline	14.1366	10.8225	1.24479	0.958146	1.11821	49.0846	23.1996	0.405118	10.8225	0.244788	0.0418542	2.18607	1.53622	0.0576487
LWup	detailed	12.3942	10.658	1.15549	0.965442	6.45625	38.8674	19.5073	0.322553	10.658	0.155489	0.0345582	1.9489	1.30024	0.0638948
Qle	baseline	21.6865	-14.4551	0.612956	0.55152	0.481864	44.952	35.0284	0.836421	14.4551	0.387044	0.44848	0.0690297	0.313783	0.336385
Qle	detailed	22.482	-15.882	0.561144	0.530106	0.953349	47.16	36.054	0.848499	15.882	0.438856	0.469894	0.123772	0.438359	0.322345
Qh	baseline	28.3932	18.5738	1.27231	0.892037	19.9448	65.4611	43.2064	0.590655	18.5738	0.272305	0.107963	0.111693	0.00211239	0.245053
Qh	detailed	46.2295	42.1052	1.32409	0.867353	32.9207	95.5867	61.3458	0.675507	42.1052	0.324092	0.132647	0.0294613	0.22298	0.35841

• 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