SG-TelokKurau: Manabe_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	5.66898	2.7809	1.08914	0.992164	1.63336	11.5052	7.73674	0.15816	2.7809	0.0891385	0.00783601	0.169671	0.067229	0.116001
SWup	detailed	4.33215	-1.03713	1.02584	0.992164	1.7188	2.63817	5.99723	0.129401	1.03713	0.025838	0.00783601	0.169671	0.067229	0.0918284
LWup	baseline	29.9105	29.7255	2.16444	0.950653	2.26466	78.9515	40.5664	1.25281	29.7255	1.16444	0.0493474	0.165763	1.68052	0.218597
LWup	detailed	30.3	29.8038	2.3522	0.968571	0.0772	88.8147	42.986	1.40581	29.8038	1.3522	0.0314291	0.117182	1.49846	0.176682
Qle	baseline	23.6188	-16.7698	0.449144	0.633559	4.61519	69.7766	40.5443	0.795369	16.7698	0.550856	0.366441	0.445856	1.51915	0.321617
Qle	detailed	23.387	-16.6513	0.460129	0.63902	4.41726	67.7577	40.2566	0.789719	16.6513	0.539871	0.36098	0.401375	1.33939	0.277116
Qh	baseline	31.386	-0.530956	0.830996	0.846934	4.6195	37.0229	46.3515	0.531937	0.530956	0.169004	0.153066	0.0996296	0.299476	0.176576
Qh	detailed	26.3334	1.60753	0.907108	0.889583	2.9673	20.1473	39.8611	0.45711	1.60753	0.0928921	0.110417	0.0923918	0.320173	0.128095
Qtau	baseline	0.0512171	-0.0391024	0.720959	0.866647	0.00175921	0.114567	0.0801416	0.519758	0.0391024	0.279041	0.133353	0.0695485	0.103511	0.136035
Qtau	detailed	0.0489437	-0.0358962	0.751047	0.870409	0.000427233	0.105477	0.0770548	0.506593	0.0358962	0.248953	0.129591	0.0508561	0.0317956	0.120432
TairSurf	baseline	0.343097	-0.128685	0.987086	0.97656	0.1283	0.18843	0.440265	0.215502	0.128685	0.0129137	0.02344	0.169585	0.0321955	0.0569618
TairSurf	detailed	0.357362	-0.257699	0.988605	0.980754	0.26407	0.30528	0.460612	0.195408	0.257699	0.0113945	0.0192465	0.158002	0.0490312	0.0723147
SoilTemp	baseline	4.02029	2.92796	0.477085	0.184446	3.73965	1.75224	4.49071	1.02548	2.92796	0.522915	0.815554	1.36461	1.70096	0.647424
SoilTemp	detailed	3.9785	2.85668	0.485282	0.187682	3.61951	1.76579	4.4467	1.02632	2.85668	0.514718	0.812318	1.35615	1.68244	0.640128

• 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