JP-Yoyogi: CM

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	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan
SWup	detailed	259.674	259.669	7.83825	0.965256	5.94867	714.223	346.317	6.87796	259.669	6.83824	0.0347444	0.212102	0.310036	0.428574
LWup	baseline	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan
LWup	detailed	53.738	-53.7358	1.20298	0.838449	80.266	51.173	63.1706	0.655657	53.7358	0.202977	0.161551	1.86609	0.497548	0.317961
Qle	baseline	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan
Qle	detailed	24.9627	5.01544	1.06599	0.57356	5.16981	10.62	36.8032	0.955779	5.01544	0.0659854	0.42644	0.366835	0.562629	0.192113
Qh	baseline	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan
Qh	detailed	35.1803	11.1181	1.29856	0.810213	5.0366	57.991	51.5994	0.762913	11.1181	0.298558	0.189787	0.131275	0.233941	0.181342

• 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

• CM SWnet min value of -0.0050 is less than expected 0.0 [W/m2]
• CM Albedo max value of 1.0001 is greater than expected 1.0 [1]

Link to variable definitions