SG-TelokKurau: JULES_1T

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	7.05019	4.90689	1.12439	0.992164	1.58578	16.4426	9.64547	0.181916	4.90689	0.124386	0.00783601	0.169671	0.067229	0.131631
SWup	detailed	4.84987	1.08886	1.06109	0.992164	1.67122	7.5756	6.60394	0.142691	1.08886	0.0610855	0.00783601	0.169671	0.067229	0.102889
LWup	baseline	25.9282	25.6133	1.86722	0.865998	3.91292	61.839	35.5548	1.11915	25.6133	0.867222	0.134002	0.22432	1.97179	0.236153
LWup	detailed	26.5381	26.21	1.89755	0.864822	3.78135	63.6079	36.4303	1.14831	26.21	0.897548	0.135178	0.222867	1.95108	0.235854
Qle	baseline	19.2913	-11.9652	0.572939	0.73601	3.58872	66.6677	34.4613	0.696335	11.9652	0.427061	0.26399	0.00770699	0.49022	0.346624
Qle	detailed	19.8955	-13.2131	0.554212	0.726423	3.99371	70.911	35.4372	0.708495	13.2131	0.445788	0.273577	0.0871839	0.827988	0.429398
Qh	baseline	39.7085	-2.56087	0.808679	0.750932	3.91867	43.0083	57.8162	0.6629	2.56087	0.191321	0.249068	0.0611443	0.0711034	0.165064
Qh	detailed	40.0802	0.00166342	0.836493	0.754427	3.77524	35.5886	57.6369	0.661494	0.00166342	0.163507	0.245573	0.0663834	0.080779	0.166286
Qtau	baseline	0.0459906	-0.0218656	0.798035	0.861097	0.0052285	0.0777933	0.0723398	0.512337	0.0218656	0.201965	0.138903	0.0770153	0.106284	0.0911156
Qtau	detailed	0.0440998	-0.0136223	0.835734	0.862744	0.00707093	0.0614079	0.0695	0.506362	0.0136223	0.164266	0.137256	0.0491508	0.00441353	0.0826145
TairSurf	baseline	0.405631	-0.151068	0.944603	0.965378	0.043	0.3626	0.533111	0.26168	0.151068	0.0553969	0.0346219	0.224987	0.0747917	0.0641022
TairSurf	detailed	0.423683	-0.240374	0.927382	0.965512	0.10336	0.52336	0.567524	0.263137	0.240374	0.0726183	0.0344884	0.268438	0.09979	0.0693394
SoilTemp	baseline	3.68561	2.38101	0.303291	0.162627	4.27869	3.11171	4.07679	0.996664	2.38101	0.696709	0.837373	1.34882	1.15594	0.724913
SoilTemp	detailed	3.72941	2.4512	0.313585	0.159297	4.27679	2.99266	4.12498	0.999214	2.4512	0.686415	0.840703	1.36858	1.06645	0.719559

• 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