Equatorial Africa Equatorial Asia Global - Land High Latitude South America - Amazon Temperate Latitudes

	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	[-]	4.82
ACCESS-ESM1-5	[-]	2.02		-2.80	4.82	3.02		0.428	0.317	0.510	0.393
BCC-CSM2-MR	[-]	4.44		-0.376	4.47	2.52		0.655	0.287	0.545	0.444
BGCLND	[-]	4.33		-0.491	3.14	0.00		0.866	0.386	1.00	0.660
BGCLNDATM_progCO2	[-]	2.69		-2.13	3.53	1.02		0.524	0.427	0.933	0.578
CanESM5	[-]	4.60		-0.224	3.91	3.02		0.867	0.319	0.510	0.503
CNRM-ESM2-1	[-]	5.76		0.939	3.73	1.02		0.797	0.346	0.933	0.606
EC-Earth3-CC	[-]	5.42		0.597	4.00	1.02		0.787	0.312	0.933	0.586
MeanCMIP6	[-]	4.50		-0.323	2.99	3.02		0.820	0.424	0.511	0.545
MIROC-ES2L	[-]	5.93		1.11	4.29	1.53		0.721	0.284	0.837	0.532
MPI-ESM1-2-LR	[-]	6.47		1.65	4.68	0.508		0.639	0.299	0.966	0.551
MRI-ESM2-0	[-]	1.62		-3.20	4.31	0.508		0.384	0.411	0.967	0.543
NorESM2-LM	[-]	2.82		-2.00	3.86	2.52		0.539	0.381	0.545	0.462
UKESM1-0-LL	[-]	2.79		-2.03	3.84	3.02		0.535	0.383	0.511	0.453

	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	[-]	5.11
ACCESS-ESM1-5	[-]	7.36		2.25	4.46	0.00		0.457	0.256	1.00	0.492
BCC-CSM2-MR	[-]	7.47		2.37	6.00	1.02		0.439	0.143	0.933	0.414
BGCLND	[-]	5.66		0.554	3.55	0.00		0.825	0.300	1.00	0.606
BGCLNDATM_progCO2	[-]	6.61		1.50	4.01	1.02		0.593	0.261	0.933	0.512
CanESM5	[-]	9.15		4.04	7.08	0.00		0.245	0.148	1.00	0.385
CNRM-ESM2-1	[-]	6.44		1.33	3.82	1.02		0.629	0.273	0.933	0.527
EC-Earth3-CC	[-]	7.60		2.49	5.12	0.00		0.421	0.225	1.00	0.468
MeanCMIP6	[-]	6.93		1.82	4.24	1.02		0.531	0.277	0.933	0.504
MIROC-ES2L	[-]	4.93		-0.175	3.80	0.00		0.941	0.268	1.00	0.619
MPI-ESM1-2-LR	[-]	4.74		-0.365	3.78	2.03		0.881	0.265	0.749	0.540
MRI-ESM2-0	[-]	7.29		2.18	4.73	0.00		0.469	0.220	1.00	0.477
NorESM2-LM	[-]	7.27		2.16	5.52	0.00		0.472	0.182	1.00	0.459
UKESM1-0-LL	[-]	6.21		1.11	3.56	1.02		0.681	0.310	0.933	0.558

	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		0.436	2.48	2.21		0.620	0.279	0.629	0.452
BCC-CSM2-MR	[-]	2.21		0.0404	2.24	1.82		0.682	0.307	0.718	0.504
BGCLND	[-]	2.29		0.126	2.12	1.74		0.729	0.316	0.735	0.524
BGCLNDATM_progCO2	[-]	2.43		0.271	2.12	1.75		0.690	0.326	0.723	0.517
CanESM5	[-]	2.21		0.0425	2.29	1.66		0.646	0.310	0.731	0.499
CNRM-ESM2-1	[-]	2.54		0.375	2.45	2.02		0.643	0.295	0.659	0.473
EC-Earth3-CC	[-]	2.50		0.331	2.24	1.76		0.648	0.313	0.720	0.498
MeanCMIP6	[-]	2.37		0.210	1.81	1.87		0.693	0.389	0.700	0.543
MIROC-ES2L	[-]	2.63		0.466	2.15	1.78		0.684	0.321	0.720	0.511
MPI-ESM1-2-LR	[-]	2.31		0.146	2.34	1.76		0.632	0.306	0.703	0.487
MRI-ESM2-0	[-]	2.61		0.447	2.42	1.73		0.631	0.302	0.748	0.495
NorESM2-LM	[-]	2.20		0.0338	2.23	2.06		0.676	0.307	0.660	0.487
UKESM1-0-LL	[-]	2.24		0.0761	2.26	2.02		0.688	0.293	0.667	0.485

	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	[-]	1.46
ACCESS-ESM1-5	[-]	2.16		0.704	1.68	2.66		0.584	0.240	0.479	0.386
BCC-CSM2-MR	[-]	1.84		0.383	1.39	2.04		0.689	0.289	0.631	0.475
BGCLND	[-]	1.75		0.324	1.42	2.33		0.737	0.269	0.539	0.454
BGCLNDATM_progCO2	[-]	1.97		0.547	1.43	1.73		0.640	0.284	0.688	0.474
CanESM5	[-]	1.78		0.327	1.47	1.83		0.685	0.274	0.675	0.477
CNRM-ESM2-1	[-]	1.69		0.232	1.50	2.28		0.655	0.264	0.570	0.438
EC-Earth3-CC	[-]	1.85		0.392	1.42	1.72		0.689	0.285	0.687	0.486
MeanCMIP6	[-]	1.92		0.461	1.20	1.72		0.673	0.368	0.683	0.523
MIROC-ES2L	[-]	2.08		0.626	1.48	1.32		0.635	0.296	0.809	0.509
MPI-ESM1-2-LR	[-]	1.97		0.517	1.51	1.58		0.623	0.274	0.755	0.481
MRI-ESM2-0	[-]	2.12		0.666	1.55	1.64		0.581	0.275	0.733	0.466
NorESM2-LM	[-]	1.87		0.410	1.42	2.19		0.683	0.282	0.571	0.454
UKESM1-0-LL	[-]	1.87		0.418	1.49	2.31		0.701	0.267	0.569	0.451

	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	[-]	6.63
ACCESS-ESM1-5	[-]	3.45		-3.18	5.43	1.02		0.451	0.358	0.933	0.525
BCC-CSM2-MR	[-]	2.72		-3.91	6.10	1.02		0.370	0.349	0.933	0.500
BGCLND	[-]	5.98		-0.646	4.46	0.678		0.662	0.363	0.961	0.587
BGCLNDATM_progCO2	[-]	5.03		-1.60	4.40	0.339		0.570	0.391	0.971	0.581
CanESM5	[-]	2.14		-4.49	5.99	0.339		0.320	0.394	0.971	0.520
CNRM-ESM2-1	[-]	4.54		-2.09	5.28	3.32		0.516	0.325	0.407	0.393
EC-Earth3-CC	[-]	3.29		-3.33	5.73	1.02		0.432	0.305	0.933	0.494
MeanCMIP6	[-]	3.95		-2.68	4.84	0.678		0.532	0.398	0.946	0.569
MIROC-ES2L	[-]	6.65		0.0248	4.23	0.339		0.731	0.368	0.971	0.609
MPI-ESM1-2-LR	[-]	2.87		-3.76	6.17	3.69		0.430	0.312	0.440	0.374
MRI-ESM2-0	[-]	4.99		-1.64	5.44	0.339		0.534	0.311	0.971	0.532
NorESM2-LM	[-]	4.13		-2.50	6.02	1.02		0.528	0.274	0.933	0.502
UKESM1-0-LL	[-]	3.88		-2.74	5.92	3.02		0.487	0.288	0.547	0.402

	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	[-]	2.00
ACCESS-ESM1-5	[-]	2.60		0.600	2.25	2.50		0.613	0.258	0.556	0.421
BCC-CSM2-MR	[-]	2.17		0.167	1.96	1.80		0.704	0.298	0.715	0.504
BGCLND	[-]	2.14		0.148	1.97	1.92		0.711	0.292	0.682	0.494
BGCLNDATM_progCO2	[-]	2.34		0.345	1.94	1.80		0.690	0.305	0.712	0.503
CanESM5	[-]	2.10		0.104	2.08	1.77		0.643	0.287	0.714	0.483
CNRM-ESM2-1	[-]	2.65		0.650	2.34	1.93		0.643	0.262	0.673	0.460
EC-Earth3-CC	[-]	2.52		0.525	2.12	1.92		0.640	0.285	0.687	0.474
MeanCMIP6	[-]	2.32		0.318	1.66	1.90		0.686	0.370	0.699	0.531
MIROC-ES2L	[-]	2.52		0.516	1.99	1.75		0.670	0.298	0.719	0.496
MPI-ESM1-2-LR	[-]	2.34		0.340	2.14	1.89		0.642	0.284	0.670	0.470
MRI-ESM2-0	[-]	2.71		0.710	2.29	1.68		0.607	0.276	0.759	0.480
NorESM2-LM	[-]	2.01		0.0130	1.96	2.22		0.688	0.300	0.613	0.475
UKESM1-0-LL	[-]	2.15		0.148	2.06	2.16		0.705	0.269	0.647	0.472

Equatorial Africa Equatorial Asia Global - Land High Latitude South America - Amazon Temperate Latitudes 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