GR-HECKOR: Manabe_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	12.7468	-12.7139	0.933038	0.993175	2.90909	18.7902	15.0493	0.131222	12.7139	0.0669623	0.00682469	0.210954	0.0617628	0.102309
SWup	detailed	6.56291	-4.21798	1.03893	0.993175	2.74743	0.639163	8.76896	0.125285	4.21798	0.0389308	0.00682469	0.210954	0.0617628	0.0974409
LWup	baseline	33.0921	33.0159	1.52732	0.949071	9.31635	86.3317	43.7736	0.65851	33.0159	0.527317	0.0509287	0.778595	0.637095	0.162404
LWup	detailed	28.3489	28.2698	1.44259	0.9533	8.91339	73.0445	37.8024	0.574998	28.2698	0.442587	0.0466997	0.744374	0.633365	0.148984
Qle	baseline	25.5843	-21.0796	0.395649	0.130665	3.32137	69.6629	42.0199	1.02623	21.0796	0.604351	0.869335	2.27432	5.76552	0.586283
Qle	detailed	25.6784	-21.1426	0.398865	0.126946	3.31439	68.907	42.1214	1.02851	21.1426	0.601135	0.873054	2.2762	5.77159	0.58685
Qh	baseline	32.9994	-0.787986	0.98512	0.889272	3.15748	4.93119	49.4778	0.467314	0.787986	0.0148797	0.110728	0.0440999	0.148546	0.0886871
Qh	detailed	33.1483	-0.181346	1.03633	0.893709	4.05409	18.1634	49.8377	0.47077	0.181346	0.0363298	0.106291	0.0302048	0.140921	0.0690863
Qtau	baseline	0.193899	-0.183891	0.52757	0.923204	0.018081	0.572735	0.299038	0.551561	0.183891	0.47243	0.0767956	0.0365886	0.0624038	0.19689
Qtau	detailed	0.127781	-0.0872434	0.770846	0.927864	0.00882065	0.289049	0.193747	0.404626	0.0872434	0.229155	0.0721356	0.110919	0.27106	0.12563

• 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