PL-Lipowa: 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	12.0825	10.8287	1.60578	0.953657	0.718926	35.0453	18.2082	0.718195	10.8287	0.605777	0.0463432	0.417539	3.21517	0.194651
SWup	detailed	8.55426	6.64136	1.45579	0.942642	0.837016	23.1231	14.1346	0.612165	6.64136	0.455785	0.0573583	0.728554	6.95216	0.172738
LWup	baseline	25.3375	-25.3364	0.914888	0.993863	19.9259	38.424	26.5961	0.135914	25.3364	0.0851133	0.00613656	0.355871	0.56716	0.174642
LWup	detailed	26.9515	-26.9512	0.916983	0.995749	22.0742	38.5076	27.8996	0.121198	26.9512	0.0830185	0.00425147	0.274735	0.247521	0.181437
Qle	baseline	16.0639	-3.14032	0.730799	0.6271	12.051	12.8097	25.748	0.785811	3.14032	0.269202	0.3729	0.232553	0.352123	0.247655
Qle	detailed	16.3817	-4.38461	0.698476	0.619971	11.679	17.0479	26.0167	0.788543	4.38461	0.301525	0.380029	0.252543	0.274253	0.256375
Qh	baseline	34.8237	27.6693	1.05295	0.858591	19.6507	32.923	46.0261	0.548266	27.6693	0.052944	0.141409	0.154496	0.356853	0.324372
Qh	detailed	38.2139	33.7404	1.22787	0.880779	18.1313	69.1343	51.8624	0.58711	33.7404	0.227863	0.119221	0.131847	0.370364	0.319923

• 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