ABoVE domain Globe

	Download Data	Period Mean (original grids) [mm d-1]		Bias [mm d-1]	RMSE [mm d-1]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	0.852
ACCESS-ESM1-5	[-]	1.74		0.885	1.36	1.40		0.416	0.303	0.827	0.462
ACCESS1-3	[-]	1.81		0.968	1.54	1.50		0.361	0.281	0.816	0.435
BCC-CSM2-MR	[-]	1.38		0.529	1.16	0.770		0.611	0.323	0.930	0.547
CanESM2	[-]	1.21		0.357	1.13	0.888		0.650	0.310	0.886	0.539
CanESM5	[-]	1.60		0.748	1.38	0.770		0.459	0.280	0.930	0.487
CNRM-ESM2-1	[-]	1.20		0.347	1.10	1.28		0.668	0.328	0.834	0.540
EnsembleCMIP5	[-]	1.46		0.582	0.970	0.889		0.561	0.437	0.916	0.587
EnsembleCMIP6	[-]	1.52		0.670	0.952	0.897		0.517	0.481	0.911	0.597
GFDL_ESM4	[-]	1.79		0.938	1.47	0.770		0.386	0.296	0.952	0.483
HadGEM2-CC	[-]	1.36		0.490	1.12	1.57		0.607	0.329	0.793	0.514
IPSL-CM5A-LR	[-]	1.40		0.566	1.11	1.02		0.556	0.336	0.904	0.533
IPSL-CM6A-LR	[-]	1.57		0.716	1.25	1.03		0.490	0.305	0.930	0.508
MIROC-ES2L	[-]	1.89		1.04	1.31	1.02		0.322	0.357	0.868	0.476
MPI-ESM1-2-LR	[-]	1.59		0.736	1.28	0.898		0.479	0.312	0.918	0.505
NorESM1-M	[-]	1.25		0.374	0.954	0.889		0.692	0.377	0.916	0.590
NorESM2-LM	[-]	1.21		0.356	0.918	1.02		0.645	0.405	0.891	0.587
UKESM1-0-LL	[-]	1.47		0.615	1.17	0.961		0.537	0.320	0.916	0.523

	Download Data	Period Mean (original grids) [mm d-1]		Bias [mm d-1]	RMSE [mm d-1]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	2.16
ACCESS-ESM1-5	[-]	2.60		0.438	2.47	2.22		0.619	0.279	0.628	0.451
ACCESS1-3	[-]	2.56		0.534	2.35	1.88		0.569	0.274	0.698	0.454
BCC-CSM2-MR	[-]	2.20		0.0387	2.23	1.84		0.682	0.307	0.716	0.503
CanESM2	[-]	1.79		-0.301	2.09	1.86		0.629	0.305	0.700	0.485
CanESM5	[-]	2.20		0.0423	2.28	1.66		0.647	0.310	0.731	0.499
CNRM-ESM2-1	[-]	2.53		0.374	2.44	2.04		0.643	0.295	0.657	0.472
EnsembleCMIP5	[-]	2.33		0.205	1.78	1.84		0.660	0.379	0.684	0.526
EnsembleCMIP6	[-]	2.45		0.286	1.80	1.89		0.692	0.398	0.684	0.543
GFDL_ESM4	[-]	2.58		0.419	2.25	1.49		0.654	0.316	0.770	0.514
HadGEM2-CC	[-]	2.28		0.197	2.11	1.78		0.680	0.296	0.721	0.498
IPSL-CM5A-LR	[-]	2.14		0.144	2.20	1.99		0.594	0.292	0.674	0.463
IPSL-CM6A-LR	[-]	2.84		0.681	2.65	1.82		0.610	0.292	0.714	0.477
MIROC-ES2L	[-]	2.62		0.463	2.14	1.78		0.685	0.320	0.720	0.512
MPI-ESM1-2-LR	[-]	2.30		0.144	2.33	1.78		0.632	0.305	0.702	0.486
NorESM1-M	[-]	2.42		0.194	2.09	1.75		0.678	0.301	0.742	0.506
NorESM2-LM	[-]	2.19		0.0340	2.23	2.07		0.677	0.307	0.658	0.487
UKESM1-0-LL	[-]	2.24		0.0766	2.25	2.02		0.688	0.293	0.667	0.485

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: P_F