UK-KingsCollege: Manabe_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	12.8286	12.4543	1.52805	0.986612	0.434209	38.5546	18.254	0.565466	12.4543	0.528049	0.0133877	0.0395144	0.238742	0.141067
SWup	detailed	2.98487	0.756883	1.0346	0.986582	0.626598	1.82015	4.08715	0.170185	0.756883	0.034602	0.0134184	0.0394213	0.238305	0.0919217
LWup	baseline	11.2411	6.43975	1.29518	0.977815	6.34204	30.134	15.7966	0.380258	6.43975	0.29518	0.0221845	0.0762595	0.0894844	0.126596
LWup	detailed	10.3171	6.68434	1.28218	0.981569	4.80194	30.2884	15.0752	0.356212	6.68434	0.282176	0.0184313	0.16742	0.18305	0.11075
Qle	baseline	13.9363	-3.35788	0.773149	0.48995	9.2074	9.62785	20.0419	0.916597	3.35788	0.226851	0.51005	1.00517	1.30875	0.278524
Qle	detailed	13.9347	-3.00261	0.779143	0.485576	9.4533	9.50753	20.1042	0.92217	3.00261	0.220857	0.514424	1.03483	1.42618	0.270065
Qh	baseline	55.1089	-50.335	0.714506	0.672877	24.5958	83.4814	69.9482	0.740925	50.335	0.285495	0.327123	0.339888	0.810732	0.476756
Qh	detailed	53.2593	-44.7187	0.888751	0.693562	30.42	51.5667	66.2851	0.746372	44.7187	0.111251	0.306438	0.331494	0.718796	0.443764
Qtau	baseline	0.142746	-0.130937	0.645263	0.740535	0.038673	0.272702	0.198318	0.678738	0.130937	0.354737	0.259465	0.0519931	0.161332	0.289228
Qtau	detailed	0.109522	-0.0354676	0.986665	0.776397	0.0357878	0.0316373	0.150053	0.664395	0.0354676	0.0133358	0.223603	0.00216238	0.0107851	0.0911135

• 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