FI-Kumpula: 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	11.7391	9.42778	1.21564	0.971518	0.171738	30.2279	18.2842	0.340222	9.42778	0.215629	0.0284823	0.16159	0.459785	0.141345
SWup	detailed	8.53689	5.07773	1.14213	0.973747	0.0249063	17.1842	13.9917	0.283141	5.07773	0.142111	0.0262534	0.0635771	0.214015	0.123452
LWup	baseline	6.24494	-1.33737	1.10731	0.992364	11.455	11.2193	8.98916	0.168607	1.33737	0.107311	0.00763645	0.110812	0.276374	0.0743509
LWup	detailed	5.65325	-0.606687	1.09261	0.993286	7.3062	11.7438	8.06125	0.15247	0.606687	0.0926023	0.00671397	0.49328	0.281875	0.0705863
Qle	baseline	13.2851	-4.04328	0.769916	0.78579	4.85406	16.4715	23.7593	0.618696	4.04328	0.230083	0.21421	0.115375	0.335742	0.149834
Qle	detailed	13.4509	-4.41991	0.741992	0.781289	4.60494	19.2197	24.0758	0.625406	4.41991	0.258007	0.218711	0.12872	0.344126	0.139866
Qh	baseline	29.1996	-19.1351	0.637151	0.728184	9.85915	75.21	45.1141	0.691401	19.1351	0.362849	0.271816	0.184354	0.0538836	0.194059
Qh	detailed	28.2299	-18.4999	0.741319	0.765521	13.7277	58.4376	42.3055	0.643866	18.4999	0.25868	0.234479	0.121684	0.0153839	0.196561

• 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