KR-Ochang: Lodz-SUEB

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	7.35023	-5.76909	0.833667	0.945662	1.74849	15.3177	17.5349	0.343899	5.76909	0.166335	0.0543379	0.557229	1.22238	0.0889977
SWup	detailed	7.25058	0.633988	0.944822	0.945662	1.65239	1.13061	15.6689	0.325152	0.633988	0.0551792	0.0543379	0.557229	1.22238	0.0961237
LWup	baseline	18.0673	17.2258	1.22503	0.980774	0.4249	56.5001	26.2696	0.312637	17.2258	0.225025	0.0192261	4.99722	0.539956	0.0834348
LWup	detailed	18.8538	18.397	1.21519	0.981041	2.7421	57.3143	26.6504	0.303945	18.397	0.215187	0.0189586	4.99637	0.508123	0.0893516
Qle	baseline	26.158	8.62291	1.16797	0.755319	3.40004	27.9581	43.7104	0.77445	8.62291	0.167967	0.244681	0.373502	0.871884	0.348123
Qle	detailed	25.9964	8.56292	1.15441	0.755945	3.42084	25.7919	43.2602	0.766368	8.56292	0.154408	0.244055	0.385748	0.888322	0.338004
Qh	baseline	18.5027	2.55258	0.85132	0.89359	16.408	17.7246	30.3631	0.45087	2.55258	0.14868	0.10641	0.0156327	0.094016	0.33238
Qh	detailed	18.9187	0.818816	0.749386	0.903717	16.2973	37.862	30.5502	0.455098	0.818816	0.250613	0.0962833	0.102726	0.296156	0.363562

• 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