FI-Kumpula: 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	12.0979	-7.17623	0.922894	0.924065	1.05377	7.46322	19.008	0.382237	7.17623	0.0771169	0.0759347	0.149061	0.252074	0.086119
SWup	detailed	10.3461	-5.30793	0.900692	0.936152	0.986154	8.3105	17.1164	0.353379	5.30793	0.0993191	0.0638481	0.0385739	0.186308	0.134528
LWup	baseline	8.35987	2.24746	1.15216	0.984675	0.907617	28.57	12.9447	0.241803	2.24746	0.15216	0.0153255	3.51649	0.699543	0.0982107
LWup	detailed	7.05001	-4.48203	1.01083	0.987469	0.581789	2.22356	9.5304	0.159531	4.48203	0.0108279	0.0125306	1.91785	0.159016	0.0814814
Qle	baseline	14.9333	-8.06526	0.598757	0.724086	5.75925	37.4014	27.7257	0.701004	8.06526	0.401242	0.275914	0.08469	0.22756	0.268952
Qle	detailed	14.9456	-3.09824	0.814106	0.721783	5.72412	18.5692	26.6036	0.69825	3.09824	0.185892	0.278217	0.127741	0.24853	0.149027
Qh	baseline	28.7443	15.5015	0.817589	0.786577	19.7002	23.4291	39.6858	0.618271	15.5015	0.182411	0.213423	0.113648	0.0727203	0.327182
Qh	detailed	21.0951	0.917862	0.91307	0.823618	1.467	18.8946	33.9387	0.574155	0.917862	0.0869306	0.176382	0.124004	0.128642	0.100434

• 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