SG-TelokKurau: 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	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	25.407	25.1245	2.04515	0.944339	1.46992	69.9323	35.6669	1.14892	25.1245	1.04515	0.0556609	0.171185	1.82824	0.172948
LWup	detailed	26.2515	25.6113	2.22298	0.963801	0.24364	78.938	38.2132	1.2871	25.6113	1.22298	0.0361991	0.124013	1.64754	0.149205
Qle	baseline	19.2233	-12.0976	0.570174	0.740679	3.35712	66.9716	34.3694	0.693157	12.0976	0.429826	0.259321	0.0468942	0.367428	0.361565
Qle	detailed	19.7981	-13.3245	0.550406	0.732052	3.53985	70.9081	35.3308	0.70505	13.3245	0.449594	0.267948	0.0362711	0.665742	0.381109
Qh	baseline	29.6999	-1.19909	0.879153	0.857687	3.18728	25.9926	44.8556	0.51462	1.19909	0.120847	0.142313	0.0426879	0.0704325	0.120029
Qh	detailed	25.6881	1.85025	0.967446	0.893693	1.40408	4.49619	39.6619	0.4547	1.85025	0.0325539	0.106307	0.0376884	0.0952307	0.0898296
Qtau	baseline	0.0466657	-0.0268501	0.823115	0.867989	0.0013984	0.0747712	0.0722803	0.498608	0.0268501	0.176885	0.132011	0.0747643	0.138784	0.0906654
Qtau	detailed	0.0441884	-0.0198107	0.870432	0.871248	0.000169181	0.0576604	0.0689697	0.490844	0.0198107	0.129568	0.128752	0.0602563	0.0677221	0.0653411
TairSurf	baseline	0.369683	-0.237906	0.993565	0.977798	0.21781	0.26781	0.474516	0.210143	0.237906	0.00643507	0.0222023	0.122902	0.0729576	0.0739202
TairSurf	detailed	0.404217	-0.343045	0.992567	0.981585	0.33078	0.37486	0.507374	0.191339	0.343045	0.00743265	0.0184146	0.124598	0.0759015	0.0926011
SoilTemp	baseline	3.60527	2.24184	0.301701	0.171113	4.16995	3.23918	3.98942	0.993868	2.24184	0.698299	0.828887	1.32894	1.20283	0.716573
SoilTemp	detailed	3.61098	2.24905	0.311785	0.173435	4.11683	3.17482	3.99526	0.994515	2.24905	0.688215	0.826565	1.3363	1.14809	0.711586

• 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