JP-Yoyogi: JULES_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	14.5504	13.2826	1.4188	0.964786	0.880899	45.0954	21.9549	0.524711	13.2826	0.418803	0.0352141	0.303358	0.874547	0.172132
SWup	detailed	5.79118	0.28117	1.08086	0.96329	1.24123	9.66262	9.76814	0.293077	0.28117	0.0808553	0.0367101	0.391942	1.69735	0.101802
LWup	baseline	17.6669	15.3284	1.36152	0.961743	3.76806	63.8462	28.9411	0.484634	15.3284	0.361517	0.038257	2.06888	1.51294	0.0817649
LWup	detailed	17.2036	14.7296	1.36699	0.956493	3.29153	65.5547	29.4571	0.503617	14.7296	0.366988	0.0435075	2.31308	1.69735	0.0744338
Qle	baseline	23.302	-19.5707	0.460138	0.576968	0.000244498	61.7266	37.0625	0.82508	19.5707	0.539862	0.423032	0.152371	0.446524	0.373322
Qle	detailed	23.4881	-19.4051	0.474437	0.55748	0.239313	61.1752	37.2763	0.834333	19.4051	0.525563	0.44252	0.241711	0.72041	0.366765
Qh	baseline	24.1102	-0.284684	1.03022	0.850883	5.21399	7.59314	36.6653	0.555122	0.284684	0.0302224	0.149117	0.212628	0.640092	0.112095
Qh	detailed	27.1518	8.19271	1.25207	0.866714	2.73973	47.7505	42.4295	0.630324	8.19271	0.252072	0.133286	0.147594	0.398632	0.102962

• 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