PL-Lipowa: 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	8.92774	6.36126	1.53852	0.916919	1.29	24.5997	16.3445	0.738676	6.36126	0.538514	0.0830807	1.00005	9.40806	0.204355
SWup	detailed	12.3153	10.2466	1.62436	0.946193	1.29	35.9802	18.427	0.751418	10.2466	0.624356	0.0538073	0.218153	0.734161	0.250666
LWup	baseline	20.6215	-16.9413	1.1493	0.982504	22.6692	11.9559	22.5469	0.250015	16.9413	0.149298	0.0174962	0.73757	2.26153	0.172314
LWup	detailed	21.5676	-21.5584	0.940302	0.994101	17.9491	31.4929	22.7304	0.121066	21.5584	0.0597007	0.0058987	0.267709	0.41404	0.152938
Qle	baseline	19.3843	-8.18988	0.654039	0.427164	11.98	38.347	31.4031	0.932204	8.18988	0.345961	0.572836	1.87161	4.06377	0.312081
Qle	detailed	16.5347	-6.84512	0.602417	0.614551	12.1609	30.36	26.5556	0.788971	6.84512	0.397583	0.385449	0.802806	0.980545	0.300879
Qh	baseline	54.3051	53.1964	1.32022	0.901875	41.7077	112.802	66.7634	0.601357	53.1964	0.320216	0.0981247	0.0828747	0.379877	0.523896
Qh	detailed	47.2432	43.5622	0.962432	0.871041	38.5318	36.9534	54.965	0.499639	43.5622	0.0375688	0.128959	0.135759	0.291979	0.519822

• 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