CA-Sunset: JULES_2T

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	18.0312	17.0046	1.65759	0.977025	0.635092	55.4021	26.2717	0.713153	17.0046	0.65759	0.0229748	0.000627022	0.496696	0.168804
SWup	detailed	6.8829	4.65659	1.21639	0.976916	0.714516	17.4089	10.1435	0.320909	4.65659	0.216391	0.0230841	0.00111565	0.498433	0.107095
LWup	baseline	10.781	4.79506	1.24976	0.967227	5.78064	28.9432	16.6181	0.379864	4.79506	0.249757	0.032773	0.13365	0.0133005	0.0897859
LWup	detailed	11.0522	4.60029	1.26102	0.966053	5.54608	30.9452	17.0562	0.392107	4.60029	0.261019	0.0339468	0.199927	0.207612	0.0874122
Qle	baseline	18.8236	-8.35635	0.662298	0.70734	7.04601	32.3916	33.3458	0.708307	8.35635	0.337704	0.29266	0.233211	0.757323	0.213673
Qle	detailed	18.818	-8.08736	0.670214	0.706485	6.31923	31.7077	33.2949	0.708657	8.08736	0.329787	0.293515	0.241573	0.756463	0.183006
Qh	baseline	30.8441	-13.8584	0.648758	0.91721	11.0944	97.5624	51.5944	0.480408	13.8584	0.351244	0.0827899	0.00936646	0.0115476	0.225697
Qh	detailed	25.6092	-6.55576	0.781428	0.929395	8.34614	56.5399	41.6553	0.397643	6.55576	0.218575	0.0706053	0.0136617	0.0438792	0.180778
Qtau	baseline	0.12031	0.0821863	1.80871	0.312951	0.00596989	0.204979	0.184609	1.77182	0.0821863	0.808698	0.687049	0.00596945	0.0559527	0.29336
Qtau	detailed	0.173305	0.145135	2.51142	0.312377	0.0117914	0.383792	0.266479	2.39546	0.145135	1.51141	0.687623	0.0295162	0.102321	0.401482
SoilTemp	baseline	2.04912	0.995806	0.927519	0.936534	1.94574	0.00247221	2.53503	0.350692	0.995806	0.0724774	0.0634656	0.497992	0.449103	0.13646
SoilTemp	detailed	2.01387	0.943332	0.923777	0.937585	1.90997	0.107268	2.49849	0.34803	0.943332	0.0762201	0.0624151	0.50429	0.449653	0.138282

• 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