ABoVE domain Globe

	Download Data	Period Mean (original grids) [degC]		Bias [degC]	RMSE [degC]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	-1.76
ACCESS-ESM1-5	[-]	-0.184		1.57	4.46	0.00		0.865	0.754	1.00	0.844
ACCESS1-3	[-]	-1.11		0.943	4.41	0.00		0.897	0.740	1.00	0.844
CanESM2	[-]	0.358		2.52	5.62	0.00		0.818	0.705	1.00	0.807
CanESM5	[-]	-2.19		-0.433	4.72	0.00		0.917	0.710	1.00	0.834
CESM2	[-]	-0.464		1.29	4.71	0.0646		0.885	0.728	0.996	0.834
CNRM-ESM2-1	[-]	0.0389		1.79	4.60	0.00		0.866	0.739	1.00	0.836
EnsembleCMIP5	[-]	-0.381		1.68	4.08	0.00		0.873	0.774	1.00	0.855
EnsembleCMIP6	[-]	-0.816		0.940	3.59	0.00		0.905	0.781	1.00	0.867
GFDL_ESM4	[-]	-1.70		0.0527	4.12	0.00		0.946	0.740	1.00	0.856
HadGEM2-CC	[-]	-5.26		-3.50	6.51	0.00		0.774	0.655	1.00	0.771
IPSL-CM5A-LR	[-]	-1.61		0.204	4.72	0.00		0.920	0.718	1.00	0.839
IPSL-CM6A-LR	[-]	-1.88		-0.124	5.43	0.00		0.941	0.670	1.00	0.820
MIROC-ES2L	[-]	0.274		2.03	4.96	0.00		0.834	0.741	1.00	0.829
MPI-ESM1-2-LR	[-]	-0.612		1.14	4.94	0.191		0.893	0.707	0.987	0.823
NorESM1-M	[-]	-2.78		-0.669	5.12	0.00		0.933	0.687	1.00	0.827
NorESM2-LM	[-]	-0.689		1.07	4.69	0.127		0.899	0.719	0.992	0.832
UKESM1-0-LL	[-]	-3.73		-1.98	5.28	0.00		0.868	0.692	1.00	0.813

	Download Data	Period Mean (original grids) [degC]		Bias [degC]	RMSE [degC]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	10.3
ACCESS-ESM1-5	[-]	12.0		1.64	3.88	0.375		0.713	0.666	0.973	0.755
ACCESS1-3	[-]	11.5		1.66	4.05	0.374		0.741	0.682	0.969	0.768
CanESM2	[-]	12.1		2.52	4.73	0.366		0.696	0.655	0.971	0.744
CanESM5	[-]	11.0		0.733	3.90	0.470		0.749	0.644	0.962	0.750
CESM2	[-]	12.0		1.69	3.75	0.591		0.727	0.671	0.959	0.757
CNRM-ESM2-1	[-]	10.5		0.227	3.44	0.470		0.761	0.674	0.966	0.769
EnsembleCMIP5	[-]	10.9		1.19	3.27	0.320		0.781	0.741	0.977	0.810
EnsembleCMIP6	[-]	11.1		0.772	2.97	0.350		0.778	0.727	0.976	0.802
GFDL_ESM4	[-]	9.56		-0.749	3.35	0.325		0.780	0.658	0.972	0.767
HadGEM2-CC	[-]	9.49		-0.956	4.17	0.559		0.793	0.635	0.954	0.754
IPSL-CM5A-LR	[-]	9.02		-0.877	3.68	0.415		0.788	0.679	0.966	0.778
IPSL-CM6A-LR	[-]	9.96		-0.346	3.78	0.506		0.778	0.651	0.962	0.761
MIROC-ES2L	[-]	12.2		1.88	4.03	0.323		0.725	0.656	0.969	0.752
MPI-ESM1-2-LR	[-]	10.6		0.282	3.61	0.415		0.773	0.648	0.966	0.759
NorESM1-M	[-]	10.0		-0.00451	3.67	0.416		0.803	0.680	0.967	0.782
NorESM2-LM	[-]	12.0		1.67	3.87	0.631		0.732	0.659	0.957	0.752
UKESM1-0-LL	[-]	9.62		-0.688	3.99	0.475		0.759	0.629	0.958	0.744

ABoVE domain Globe Temporally integrated period mean Temporally integrated period mean bias Temporally integrated period mean bias score Temporally integrated period mean max month Temporally integrated mean phase shift Temporally integrated mean phase shift score Temporally integrated period mean rmse Temporally integrated period mean rmse score Spatially integrated regional mean cycle Spatially integrated regional mean detrended cycle Spatially integrated regional mean

  Title:

FluxNet Tower eddy covariance measurements (Tier 1)

  Version:

2015

  Institutions:

FluxNet, AmeriFlux, AfriFlux, AsiaFlux, ChinaFlux, Fluxnet-Canada, KoFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, GreenGrass, OzFlux-TERN, LBA, NECC, ICOS, TCOS-Siberia, and USCCC

  References:

Reichstein, M., D. Papale, R. Valentini, M. Aubinet, C. Bernhofer, A. Knohl, T. Laurila, A. Lindroth, E. Moors, K. Pilegaard, and G. Seufert (2007), Determinants of terrestrialecosystem carbon balance inferred from European eddy covarianceflux sites, Geophys. Res. Lett., 34, L01402, doi:10.1029/2006GL027880

Lasslop, G., M. Reichstein, D. Papale, A.D. Richardson, A. Arneth, A. Barr, P. Stoy, and G. Wohlfahrt (2010), Separation of net ecosystem exchange into assimilation and respiration using a light response curve approach: critical issues and global evaluation, Global Change Biology, 16, 187-208, doi:10.1111/j.1365-2486.2009.02041.x

Knauer, J., S. Zaehle, B.E. Medlyn, M. Reichstein, C.A. Williams, M. Migliavacca, M.G. De Kauwe, C. Werner, C. Keitel, P. Kolari, J.-M. Limousin, and M.-L. Linderson (2018), Towards physiologically meaningful water use efficiency estimates from eddy covariance data, Global Change Biology, 24(2), 694-710, doi:10.1111/gcb.13893

  Comment:

Fluxnet variable(s) used: TA_F