JP-Yoyogi: JULES_MORUS

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	4.91545	-0.678409	1.00759	0.964261	1.10747	0.608803	8.9701	0.268474	0.678409	0.00758827	0.035739	0.287004	2.84383	0.0710887
SWup	detailed	7.27914	-5.67072	0.895813	0.961845	1.31883	11.6456	10.9581	0.28145	5.67072	0.104188	0.0381549	0.464273	4.5124	0.103153
LWup	baseline	7.43689	5.51613	1.14425	0.991618	2.30502	24.398	11.5339	0.199974	5.51613	0.144246	0.00838211	0.816517	0.567226	0.0567119
LWup	detailed	6.68595	4.76399	1.13318	0.99144	1.69247	22.7744	10.862	0.192712	4.76399	0.13318	0.00856021	0.873765	0.583521	0.0473396
Qle	baseline	23.8555	-19.6377	0.481489	0.568077	0.214595	60.7054	37.1769	0.827518	19.6377	0.518511	0.431923	0.227222	0.680287	0.390549
Qle	detailed	23.9367	-19.4856	0.48848	0.55424	0.0237235	60.1102	37.3383	0.83495	19.4856	0.51152	0.44576	0.282074	0.861114	0.379801
Qh	baseline	31.0429	15.6753	1.16427	0.832559	14.884	41.5281	45.4336	0.645659	15.6753	0.164266	0.167441	0.259057	0.820534	0.162509
Qh	detailed	31.9601	19.8416	1.21124	0.851527	11.5653	50.2163	46.4469	0.635843	19.8416	0.21124	0.148473	0.163217	0.58534	0.170747

• 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