JP-Yoyogi: ASLUMv3.1

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	9.96794	7.89152	1.20069	0.956399	0.237665	25.5453	14.9396	0.380759	7.89152	0.200684	0.0436013	0.190014	0.368016	0.100943
SWup	detailed	7.15405	2.85858	1.05145	0.949227	0.020552	10.0837	11.385	0.330784	2.85858	0.0514455	0.0507734	0.101683	0.243521	0.0831846
LWup	baseline	13.0815	1.1946	1.25627	0.977566	16.1896	33.0427	17.7356	0.349342	1.1946	0.256269	0.0224336	0.950709	0.774008	0.111229
LWup	detailed	8.70581	-2.81916	1.12787	0.986617	10.8032	12.6389	11.2851	0.215728	2.81916	0.127865	0.0133831	0.488616	0.36003	0.0832356
Qle	baseline	22.3095	-14.9933	0.675327	0.504104	0.444556	43.4976	36.781	0.880452	14.9933	0.324673	0.495896	0.169963	0.317532	0.346951
Qle	detailed	23.4516	-8.047	0.96287	0.50364	0.431079	13.8311	38.1799	0.978386	8.047	0.0371305	0.49636	0.23203	0.428355	0.306446
Qh	baseline	22.9007	-9.57384	0.895964	0.87165	7.4899	19.5531	33.7953	0.490731	9.57384	0.104037	0.12835	0.195203	0.416156	0.199407
Qh	detailed	24.0883	-5.43293	1.03321	0.866964	2.40369	1.31558	35.1213	0.525369	5.43293	0.033214	0.133036	0.102343	0.206147	0.149167

• 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