UK-KingsCollege: 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	12.7175	12.3377	1.523	0.986579	0.436157	38.1826	18.0925	0.560721	12.3377	0.522996	0.0134213	0.039503	0.238293	0.139478
SWup	detailed	2.93932	0.64189	1.02957	0.986567	0.628546	1.44814	4.03801	0.168922	0.64189	0.0295645	0.0134331	0.0396414	0.238483	0.0941511
LWup	baseline	9.58206	4.88972	1.24008	0.984945	5.97308	23.6859	12.6719	0.308185	4.88972	0.240081	0.0150555	0.0171287	0.364666	0.113321
LWup	detailed	9.35732	4.80162	1.26048	0.985322	5.82922	26.316	13.1881	0.323804	4.80162	0.260476	0.0146776	0.151	0.153588	0.0974285
Qle	baseline	13.7951	-3.47531	0.684091	0.498252	7.95365	16.9065	19.428	0.886725	3.47531	0.315909	0.501748	0.70333	0.974511	0.219051
Qle	detailed	13.86	-3.13837	0.699585	0.489105	8.1875	16.4187	19.5948	0.897262	3.13837	0.300415	0.510895	0.814544	1.28543	0.203662
Qh	baseline	51.5305	-48.3246	0.692415	0.746121	17.9516	81.9953	65.2128	0.667973	48.3246	0.307586	0.253879	0.408673	0.86304	0.477305
Qh	detailed	48.3808	-42.1672	0.929543	0.78813	24.8709	37.5139	59.0938	0.631545	42.1672	0.0704589	0.21187	0.385252	0.644434	0.474652
Qtau	baseline	0.142893	-0.131621	0.664338	0.746712	0.0394558	0.260301	0.197375	0.670229	0.131621	0.335662	0.253288	0.0253029	0.152761	0.291922
Qtau	detailed	0.111729	-0.0396547	1.02632	0.780087	0.0354314	0.0120064	0.152789	0.672378	0.0396547	0.026316	0.219913	0.000624841	0.041144	0.13088

• 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