UK-KingsCollege: JULES_MORUS

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	3.55395	2.74043	1.05265	0.989121	0.506309	3.57405	4.67031	0.160241	2.74043	0.0526529	0.0108795	0.153167	0.821124	0.101168
SWup	detailed	2.60315	-0.05946	0.974617	0.987942	0.619404	2.28917	3.66794	0.155397	0.05946	0.0253841	0.012058	0.108122	0.67315	0.0959096
LWup	baseline	5.96505	0.57877	1.04162	0.982343	3.58582	0.338599	7.46703	0.196255	0.57877	0.0416209	0.0176569	0.432016	1.29619	0.0871046
LWup	detailed	5.24468	0.442613	1.07191	0.987993	4.71558	3.49975	6.68404	0.175819	0.442613	0.0719107	0.0120072	0.298887	0.914538	0.0760225
Qle	baseline	13.957	-3.44254	0.694609	0.480952	7.97075	17.6907	19.7549	0.902405	3.44254	0.305391	0.519048	0.853576	1.39876	0.210741
Qle	detailed	13.9761	-3.32846	0.698475	0.478908	8.11566	17.133	19.7886	0.904907	3.32846	0.301525	0.521092	0.87169	1.44773	0.214079
Qh	baseline	45.3171	-39.5476	0.833467	0.761527	18.1279	52.4321	58.2365	0.652114	39.5476	0.166535	0.238473	0.322494	0.686456	0.36971
Qh	detailed	44.0766	-38.0895	0.889116	0.787183	24.3447	43.2061	55.9459	0.625087	38.0895	0.110886	0.212817	0.254421	0.495571	0.355326
Qtau	baseline	0.157323	-0.151497	0.56909	0.712744	0.0383226	0.321227	0.218263	0.715984	0.151497	0.43091	0.287256	0.0364192	0.209215	0.344765
Qtau	detailed	0.133457	-0.117817	0.702075	0.759131	0.0319649	0.228279	0.185589	0.653434	0.117817	0.297925	0.240869	0.00576324	0.092396	0.26362

• 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