ABoVE domain Globe

	Download Data	Period Mean (original grids) [g m-2 d-1]		Bias [g m-2 d-1]	RMSE [g m-2 d-1]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	-0.130
ACCESS-ESM1-5	[-]	0.138		0.267	1.47	3.57		0.556	0.250	0.306
BCC-CSM2-MR	[-]	-0.117		0.0130	1.36	4.81		0.791	0.274	0.372
CanESM2	[-]	0.0103		0.137	1.16	3.51		0.653	0.317	0.243
CanESM5	[-]	0.0355		0.165	1.42	2.74		0.620	0.266	0.413
CESM2	[-]	0.127		0.256	1.61	4.21		0.557	0.201	0.294
CNRM-ESM2-1	[-]	0.145		0.275	1.52	3.76		0.500	0.229	0.252
EnsembleCMIP5	[-]	0.169		0.292	1.73	3.88		0.486	0.208	0.242
EnsembleCMIP6	[-]	0.0854		0.215	1.44	4.08		0.554	0.248	0.308
GFDL_ESM4	[-]	0.372		0.501	1.85	3.64		0.405	0.194	0.281
IPSL-CM5A-LR	[-]	0.152		0.290	1.94	4.08		0.494	0.178	0.301
IPSL-CM6A-LR	[-]	0.107		0.237	1.22	3.95		0.537	0.303	0.336
MIROC-ES2L	[-]	0.106		0.236	2.32	4.57		0.563	0.128	0.305
MPI-ESM-LR	[-]	0.326		0.477	2.47	3.47		0.399	0.113	0.298	0.231
MPI-ESM1-2-LR	[-]	0.166		0.296	1.86	4.14		0.503	0.174	0.302
NorESM1-M	[-]	0.0328		0.166	1.37	4.66		0.615	0.264	0.361
NorESM2-LM	[-]	0.103		0.233	1.55	4.21		0.547	0.229	0.294
UKESM1-0-LL	[-]	0.0977		0.227	1.60	4.08		0.544	0.220	0.326

	Download Data	Period Mean (original grids) [g m-2 d-1]		Bias [g m-2 d-1]	RMSE [g m-2 d-1]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	-0.663
ACCESS-ESM1-5	[-]	0.377		1.05	2.41	4.03		0.288	0.273	0.164
BCC-CSM2-MR	[-]	0.0636		0.727	2.43	4.33		0.380	0.243	0.185
CanESM2	[-]	0.0236		0.791	2.17	2.84		0.386	0.307	0.590
CanESM5	[-]	0.0295		0.693	2.62	3.33		0.394	0.216	0.251
CESM2	[-]	0.184		0.841	2.53	4.20		0.347	0.247	0.151
CNRM-ESM2-1	[-]	0.157		0.820	2.47	3.99		0.350	0.244	0.186
EnsembleCMIP5	[-]	0.185		0.900	2.58	4.29		0.364	0.252	0.184
EnsembleCMIP6	[-]	0.232		0.895	2.41	4.18		0.324	0.259	0.169
GFDL_ESM4	[-]	0.538		1.20	2.74	3.95		0.248	0.227	0.212
IPSL-CM5A-LR	[-]	0.358		1.13	3.12	4.09		0.293	0.209	0.273
IPSL-CM6A-LR	[-]	0.235		0.903	2.45	3.88		0.328	0.258	0.200
MIROC-ES2L	[-]	0.291		0.954	2.55	4.14		0.316	0.259	0.207
MPI-ESM-LR	[-]	0.441		1.19	3.41	3.93		0.283	0.163	0.248	0.214
MPI-ESM1-2-LR	[-]	0.191		0.850	2.77	4.11		0.339	0.219	0.168
NorESM1-M	[-]	0.0900		0.847	2.45	4.27		0.370	0.249	0.214
NorESM2-LM	[-]	0.184		0.847	2.51	4.14		0.342	0.247	0.156
UKESM1-0-LL	[-]	0.136		0.794	2.40	4.19		0.360	0.254	0.182

ABoVE domain Globe

	Download Data	Precipitation|GPCPv2.3 Hellinger Distance [1]	SurfaceDownwardSWRadiation|CERESed4.1 Hellinger Distance [1]		Precipitation|GPCPv2.3 Score [1]	SurfaceDownwardSWRadiation|CERESed4.1 Score [1]	Overall Score [1]
ACCESS-ESM1-5	[-]
BCC-CSM2-MR	[-]
CanESM2	[-]
CanESM5	[-]
CESM2	[-]
CNRM-ESM2-1	[-]
EnsembleCMIP5	[-]
EnsembleCMIP6	[-]
GFDL_ESM4	[-]
IPSL-CM5A-LR	[-]
IPSL-CM6A-LR	[-]
MIROC-ES2L	[-]
MPI-ESM-LR	[-]						0.00
MPI-ESM1-2-LR	[-]
NorESM1-M	[-]
NorESM2-LM	[-]
UKESM1-0-LL	[-]

	Download Data	Precipitation|GPCPv2.3 Hellinger Distance [1]	SurfaceDownwardSWRadiation|CERESed4.1 Hellinger Distance [1]		Precipitation|GPCPv2.3 Score [1]	SurfaceDownwardSWRadiation|CERESed4.1 Score [1]	Overall Score [1]
ACCESS-ESM1-5	[-]	0.734			0.234
BCC-CSM2-MR	[-]
CanESM2	[-]
CanESM5	[-]
CESM2	[-]		0.674			0.286
CNRM-ESM2-1	[-]	0.644			0.323
EnsembleCMIP5	[-]
EnsembleCMIP6	[-]
GFDL_ESM4	[-]	0.713			0.205
IPSL-CM5A-LR	[-]	0.666			0.222
IPSL-CM6A-LR	[-]	0.774			0.284
MIROC-ES2L	[-]	0.705			0.269
MPI-ESM-LR	[-]						0.00
MPI-ESM1-2-LR	[-]
NorESM1-M	[-]	0.561			0.327
NorESM2-LM	[-]	0.659			0.308
UKESM1-0-LL	[-]	0.585			0.325

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 Relationship with Precipitation Relationship with func_Precipitation Relationship with SurfaceDownwardSWRadiation Relationship with func_SurfaceDownwardSWRadiation

  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: NEE_VUT_REF