JP-Yoyogi: JULES_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	14.5524	13.2811	1.41903	0.964567	0.880899	45.0954	21.9747	0.525493	13.2811	0.419025	0.0354328	0.311322	0.939291	0.172169
SWup	detailed	5.78842	0.266067	1.07882	0.963788	1.24123	9.66262	9.67932	0.290423	0.266067	0.0788217	0.036212	0.342124	1.25241	0.101779
LWup	baseline	16.9928	15.7069	1.29568	0.961681	0.0251724	55.6656	26.9406	0.432112	15.7069	0.295674	0.0383187	1.78359	1.25	0.0770791
LWup	detailed	15.9459	14.5458	1.29407	0.961452	0.599642	54.7993	26.2571	0.431556	14.5458	0.294065	0.0385476	1.89267	1.33651	0.0700611
Qle	baseline	23.2987	-19.5248	0.458279	0.581859	0.139021	62.2516	36.9588	0.822625	19.5248	0.541721	0.418141	0.140858	0.386008	0.37702
Qle	detailed	23.4583	-19.3878	0.471283	0.565307	0.331891	61.7055	37.1334	0.830222	19.3878	0.528717	0.434693	0.211546	0.588362	0.379525
Qh	baseline	32.6091	-3.85563	0.928262	0.718212	9.07557	12.1679	48.1601	0.726837	3.85563	0.0717383	0.281788	0.338361	1.17911	0.141277
Qh	detailed	34.0698	4.30579	1.10719	0.736546	4.81446	21.1863	51.1225	0.771281	4.30579	0.107186	0.263454	0.294043	1.00919	0.0983131

• 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