PL-Lipowa: JULES_2T

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	21.7426	20.7881	2.12073	0.951809	0.658929	71.2453	32.2313	1.20849	20.7881	1.12073	0.0481914	0.147881	0.628314	0.266481
SWup	detailed	7.3807	4.51326	1.40148	0.934883	0.907639	21.1602	12.7733	0.586267	4.51326	0.401482	0.0651166	0.813228	7.28529	0.159149
LWup	baseline	18.1217	-17.6613	1.05409	0.992976	19.6402	7.35311	19.3578	0.13317	17.6613	0.0540922	0.00702414	0.286926	0.764994	0.143384
LWup	detailed	18.6952	-17.6029	1.08446	0.990747	20.5633	1.45741	20.1542	0.164932	17.6029	0.0844541	0.00925342	0.521938	1.46513	0.151068
Qle	baseline	15.8172	-3.79038	0.706471	0.639746	12.0917	14.9324	25.3743	0.771477	3.79038	0.293529	0.360254	0.231381	0.382406	0.264419
Qle	detailed	16.1736	-4.65758	0.687684	0.629931	11.7558	17.657	25.7523	0.778795	4.65758	0.312317	0.370069	0.250565	0.300218	0.263841
Qh	baseline	27.0803	14.8899	0.885967	0.861498	19.8481	4.58412	37.2118	0.508351	14.8899	0.114035	0.138502	0.145647	0.37038	0.28448
Qh	detailed	31.5042	25.9758	1.18042	0.885923	16.8392	53.709	45.0919	0.549424	25.9758	0.180416	0.114077	0.141433	0.429476	0.255918

• 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