CA-Sunset: TEB-CNRM

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	4.92674	-0.230743	1.02902	0.939037	0.933333	1.588	9.98264	0.355398	0.230743	0.0290268	0.0609633	0.178133	6.70329	0.0774291
SWup	detailed	9.56552	8.05962	1.30628	0.953648	0.933333	22.9072	15.3108	0.463575	8.05962	0.306279	0.0463519	0.0404987	2.1808	0.124057
LWup	baseline	14.0405	5.98827	1.39731	0.958099	9.14084	48.3087	22.7656	0.524358	5.98827	0.397311	0.0419005	0.369055	0.960694	0.108097
LWup	detailed	10.5355	4.82496	1.25821	0.968916	7.21944	29.4228	16.6582	0.380645	4.82496	0.258207	0.0310838	0.0963554	0.108744	0.0966533
Qle	baseline	21.9395	-11.8608	0.631825	0.611509	7.74507	42.9271	37.9732	0.791498	11.8608	0.368176	0.388491	0.314202	0.427885	0.219655
Qle	detailed	19.3909	-8.95525	0.687033	0.695984	7.09508	32.4324	33.9318	0.718113	8.95525	0.312969	0.304016	0.00675034	0.303308	0.192591
Qh	baseline	30.0088	19.266	0.933895	0.946843	25.7477	10.8424	38.4772	0.321956	19.266	0.066109	0.053157	0.019819	0.0085713	0.407906
Qh	detailed	24.7863	-1.42803	0.791536	0.940715	14.6907	49.6308	38.3604	0.370553	1.42803	0.208467	0.0592851	0.00442639	0.000425964	0.266279
Qtau	baseline	0.114741	0.0753106	1.70777	0.295497	0.0107039	0.180447	0.176002	1.70505	0.0753106	0.707762	0.704503	0.069221	0.172193	0.296511
Qtau	detailed	0.132629	0.0967012	1.86424	0.300989	0.00963816	0.241957	0.196311	1.83116	0.0967012	0.864234	0.699011	0.140983	0.193019	0.329216
SoilTemp	baseline	1.98952	0.136671	1.0935	0.927924	0.229416	3.10729	2.71495	0.407887	0.136671	0.0935081	0.0720755	2.06683	1.05157	0.11241
SoilTemp	detailed	2.1528	-0.381762	1.07435	0.921197	0.383292	2.34726	2.80586	0.418155	0.381762	0.0743612	0.078803	1.82323	1.043	0.120018

• 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