FI-Torni: 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	38.4365	38.406	2.62132	0.774426	3.63835	146.093	65.8241	1.95225	38.406	1.62132	0.225574	2.57991	4.52054	0.219534
SWup	detailed	24.3383	24.0104	2.39326	0.668705	2.57239	127.389	56.7545	1.87801	24.0104	1.39326	0.331295	3.83201	7.31018	0.156142
LWup	baseline	13.423	-1.51477	1.31633	0.979493	26.7936	31.6867	19.2864	0.392494	1.51477	0.316325	0.0205075	0.337132	0.555267	0.156709
LWup	detailed	12.8482	-0.778804	1.30982	0.98053	22.849	35.2399	18.7973	0.383394	0.778804	0.309816	0.01947	0.681035	0.956769	0.142007
Qle	baseline	16.4909	-8.39971	0.578369	0.526063	4.82311	25.2519	28.2279	0.852052	8.39971	0.421631	0.473937	0.255461	0.557939	0.31704
Qle	detailed	16.7329	-8.33993	0.57511	0.510881	4.51613	26.3879	28.5123	0.862048	8.33993	0.42489	0.489119	0.232016	0.496739	0.287852
Qh	baseline	47.1278	-37.7966	0.787051	0.682113	14.0309	60.151	64.4413	0.738739	37.7966	0.21295	0.317887	0.330235	0.505687	0.470916
Qh	detailed	46.9187	-35.7527	0.964744	0.721081	21.656	22.9069	63.0144	0.734448	35.7527	0.0352575	0.278919	0.317194	0.416873	0.4869

• 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