KR-Jungnang: 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	21.4479	21.3756	1.30509	0.982658	8.34122	41.59	24.6161	0.371946	21.3756	0.305084	0.0173424	0.059488	0.00732349	0.18174
SWup	detailed	5.4559	-0.5777	0.88298	0.982636	4.78572	5.64016	6.93696	0.210613	0.5777	0.117022	0.017364	0.0595225	0.00786717	0.120878
LWup	baseline	18.0592	14.8416	1.26701	0.980223	4.48493	61.3324	27.891	0.34844	14.8416	0.267009	0.0197771	1.41087	0.754172	0.0813944
LWup	detailed	25.7936	22.4918	1.38851	0.963438	5.40595	89.3833	40.8106	0.502471	22.4918	0.388513	0.0365621	1.92384	1.08126	0.0961989
Qle	baseline	18.6926	-14.7215	0.330952	0.403218	7.50436	56.2254	29.9979	0.917953	14.7215	0.669049	0.596782	1.90693	3.11629	0.580944
Qle	detailed	18.6163	-14.5836	0.339496	0.403963	7.48245	55.5925	29.9078	0.917044	14.5836	0.660504	0.596037	1.89024	3.10159	0.540975
Qh	baseline	39.9525	-23.1054	0.938148	0.730207	1.42188	22.0157	59.4128	0.714169	23.1054	0.061855	0.269793	0.360705	1.36816	0.267336
Qh	detailed	38.8538	-20.5959	0.984333	0.748483	0.988415	11.8136	57.7427	0.703845	20.5959	0.0156699	0.251517	0.350627	1.31424	0.275218

• 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