PL-Narutowicza: JULES_MORUS

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	14.9047	14.0082	1.68661	0.933933	0.542084	40.229	22.8063	0.833245	14.0082	0.686612	0.0660668	0.798692	6.20995	0.193155
SWup	detailed	11.5412	10.1425	1.5234	0.940952	0.276596	30.3377	17.7369	0.673686	10.1425	0.523398	0.0590476	0.685924	5.2481	0.162589
LWup	baseline	11.7046	-6.41067	0.962556	0.974698	4.78775	14.1719	14.513	0.223857	6.41067	0.0374435	0.0253023	0.402971	0.556856	0.0654444
LWup	detailed	11.2197	-6.63725	0.96261	0.976504	4.76303	12.7874	14.2061	0.215945	6.63725	0.0373886	0.0234956	0.273669	0.257315	0.0648584
Qle	baseline	23.3435	-6.89767	0.85365	0.643038	14.2688	8.20204	34.8972	0.794267	6.89767	0.146352	0.356962	0.602649	0.134304	0.29168
Qle	detailed	23.4967	-8.81814	0.802223	0.637516	14.0229	15.4261	35.0593	0.787847	8.81814	0.197779	0.362484	0.60176	0.157834	0.308298
Qh	baseline	29.2691	3.39099	0.847452	0.834391	15.8946	19.548	40.3825	0.551328	3.39099	0.15255	0.165609	0.0838211	0.324108	0.1937
Qh	detailed	28.3477	7.82315	0.958555	0.859315	10.2899	1.6962	38.8217	0.520985	7.82315	0.0414476	0.140685	0.0404036	0.170815	0.159658

• 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