CA-Sunset: 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	18.0322	16.9962	1.65765	0.976962	0.635092	55.4021	26.2708	0.713358	16.9962	0.657651	0.0230382	0.000403616	0.495584	0.16887
SWup	detailed	6.8842	4.64622	1.21637	0.976859	0.714516	17.4089	10.144	0.321116	4.64622	0.216377	0.0231414	0.000734723	0.496977	0.107181
LWup	baseline	10.7818	5.19952	1.22556	0.962415	4.73367	25.8453	16.6712	0.378154	5.19952	0.225552	0.0375851	0.0734457	0.19932	0.0883342
LWup	detailed	10.639	5.09014	1.2273	0.9637	4.11184	26.6106	16.5191	0.375185	5.09014	0.227293	0.0362995	0.118419	0.0758035	0.0845563
Qle	baseline	18.8151	-8.27352	0.659368	0.706578	7.67564	32.406	33.3649	0.709208	8.27352	0.340634	0.293422	0.226163	0.749883	0.218514
Qle	detailed	18.7708	-7.96469	0.665782	0.705957	7.59835	31.7383	33.2979	0.709394	7.96469	0.334219	0.294043	0.229886	0.744874	0.19636
Qh	baseline	35.5569	-14.4691	0.608193	0.883908	11.6684	109.932	57.9955	0.542886	14.4691	0.391809	0.116092	0.0195182	0.0441961	0.250722
Qh	detailed	32.6852	-7.32751	0.718442	0.887754	9.95479	75.121	51.2653	0.490468	7.32751	0.28156	0.112246	0.0176201	0.0168389	0.237367
Qtau	baseline	0.122144	0.0850863	1.7939	0.307408	0.00705832	0.204587	0.185351	1.76498	0.0850863	0.793897	0.692592	0.0163808	0.0803404	0.318709
Qtau	detailed	0.176686	0.149891	2.48498	0.305618	0.0153379	0.383311	0.26777	2.37828	0.149891	1.48497	0.694382	0.0459612	0.137449	0.430922
SoilTemp	baseline	2.09222	1.06585	0.930092	0.935804	1.99499	0.100582	2.57469	0.352566	1.06585	0.0699045	0.0641956	0.483033	0.456988	0.144909
SoilTemp	detailed	2.06886	1.02977	0.927361	0.936473	1.96664	0.0224322	2.54958	0.350859	1.02977	0.0726355	0.0635274	0.48041	0.46036	0.142307

• 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