KR-Jungnang: 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	11.5501	5.33165	1.17865	0.740658	5.36502	0.66135	26.8592	0.802036	5.33165	0.178647	0.259342	3.88874	9.81123	0.117071
SWup	detailed	18.6624	18.416	1.37818	0.788165	7.35735	27.3611	33.5001	0.85259	18.416	0.378174	0.211835	2.27906	4.6465	0.154753
LWup	baseline	21.7806	6.45854	1.35655	0.973397	21.5255	66.9433	30.937	0.446436	6.45854	0.35655	0.0266029	1.50472	0.858422	0.12212
LWup	detailed	9.89948	4.4694	1.12391	0.993236	6.17897	20.0524	12.6619	0.174808	4.4694	0.123907	0.00676414	0.246378	0.0996963	0.0784953
Qle	baseline	19.7977	-10.767	0.883449	0.340562	6.63654	41.8892	32.7341	1.0857	10.767	0.116552	0.659438	2.00755	2.73507	0.474023
Qle	detailed	17.802	-10.755	0.661526	0.416187	6.71412	32.6269	28.8918	0.941796	10.755	0.338476	0.583813	1.29969	1.24001	0.422978
Qh	baseline	42.0648	24.824	1.37349	0.854251	19.3658	104.282	61.5417	0.734757	24.824	0.373491	0.145749	0.183296	0.0338296	0.333546
Qh	detailed	31.0758	-0.0816499	0.866802	0.827553	15.4303	7.05886	43.1309	0.562758	0.0816499	0.1332	0.172447	0.253464	0.737435	0.226281

• 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