JP-Yoyogi: TEB-CNRM

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	10.9607	-7.7938	0.968172	0.882949	2.38133	13.6553	17.7041	0.477141	7.7938	0.0318294	0.117051	2.1558	13.6918	0.16293
SWup	detailed	6.86852	-0.156609	1.11189	0.937618	2.38133	6.16424	12.9575	0.388902	0.156609	0.11189	0.0623823	0.509465	2.12417	0.140908
LWup	baseline	21.3654	11.0463	1.50232	0.941823	16.9017	78.9512	34.8988	0.653548	11.0463	0.502317	0.0581772	2.58689	2.09065	0.112889
LWup	detailed	9.97307	8.3764	1.18142	0.990891	1.45233	28.3882	14.4857	0.233317	8.3764	0.181419	0.00910901	0.889661	0.645122	0.0680639
Qle	baseline	25.5387	-13.4786	0.911891	0.423091	0.244403	21.1337	41.5215	1.02952	13.4786	0.0881093	0.576909	0.623133	1.25848	0.354208
Qle	detailed	20.5962	-14.9005	0.650758	0.557743	0.323509	43.2975	35.1727	0.835209	14.9005	0.349242	0.442257	0.498575	1.36993	0.309262
Qh	baseline	39.7842	34.4169	1.42997	0.889662	25.2975	109.109	58.0298	0.707414	34.4169	0.429969	0.110338	0.175904	0.19036	0.287934
Qh	detailed	31.7054	19.6316	0.909249	0.854548	26.0434	10.3414	39.6877	0.522246	19.6316	0.0907519	0.145452	0.191582	0.674329	0.322491

• 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