Equatorial Asia Global - Land High Latitudes South America - Amazon

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	-31.5
bcc-csm1-1	[-]	-47.9		-16.4	20.6	1.02		0.00500	0.393	0.933	0.431
BCC-CSM2-MR	[-]	-45.7		-14.2	14.8	0.00		0.140	0.609	1.00	0.589
CanESM2	[-]	-24.0		7.46	8.88	1.02		0.547	0.516	0.933	0.628
CanESM5	[-]	-37.6		-6.06	6.66	1.02		0.632	0.746	0.933	0.764
CESM1-BGC	[-]	-32.5		-0.962	4.35	1.02		0.942	0.780	0.933	0.859
CESM2	[-]	-40.5		-8.98	11.8	2.03		0.455	0.637	0.749	0.619
GFDL-ESM2G	[-]	-47.0		-15.5	15.6	1.02		0.0572	0.690	0.933	0.593
GFDL-ESM4	[-]	-48.3		-16.8	16.8	1.02		0.00	0.749	0.933	0.608
IPSL-CM5A-LR	[-]	-46.1		-14.6	13.5	1.02		0.117	0.771	0.933	0.648
IPSL-CM6A-LR	[-]	-41.1		-9.65	11.6	1.02		0.415	0.717	0.933	0.695
MeanCMIP5	[-]	-38.2		-6.48	7.68	1.02		0.607	0.818	0.933	0.794
MeanCMIP6	[-]	-41.7		-10.2	11.2	0.00		0.383	0.756	1.00	0.724
MIROC-ESM	[-]	-32.7		-1.22	11.2	2.05		0.926	0.444	0.745	0.640
MIROC-ESM2L	[-]	-33.4		-1.95	20.5	0.00		0.882	0.00897	1.00	0.475
MPI-ESM-LR	[-]	-43.2		-11.7	15.6	0.00		0.290	0.497	1.00	0.571
MPI-ESM1.2-HR	[-]	-40.5		-9.02	14.0	3.05		0.453	0.512	0.498	0.494
NorESM1-ME	[-]	-31.3		0.219	6.47	1.02		0.987	0.679	0.933	0.819
NorESM2-LM	[-]	-45.3		-13.8	14.0	0.00		0.162	0.699	1.00	0.640
UK-HadGEM2-ES	[-]	-48.9		-17.2	17.4	2.05		0.00	0.785	0.745	0.579
UKESM1-0-LL	[-]	-42.2		-10.7	11.8	1.02		0.349	0.745	0.933	0.693

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	-55.5
bcc-csm1-1	[-]	-61.2		-0.780	19.6	1.48		0.453	0.123	0.807	0.377
BCC-CSM2-MR	[-]	-63.1		-2.82	18.8	1.30		0.501	0.138	0.827	0.401
CanESM2	[-]	-71.8		-13.5	27.8	1.72		0.243	0.0402	0.755	0.270
CanESM5	[-]	-68.6		-9.37	19.7	1.42		0.363	0.180	0.819	0.385
CESM1-BGC	[-]	-68.7		-11.4	20.5	1.30		0.233	0.238	0.819	0.382
CESM2	[-]	-67.7		-8.16	19.2	1.45		0.361	0.232	0.790	0.404
GFDL-ESM2G	[-]	-62.3		-0.951	17.9	1.32		0.440	0.215	0.839	0.427
GFDL-ESM4	[-]	-60.0		2.87	17.3	1.43		0.496	0.169	0.801	0.409
IPSL-CM5A-LR	[-]	-71.1		-9.49	22.8	1.55		0.238	0.138	0.796	0.328
IPSL-CM6A-LR	[-]	-59.0		-0.518	21.0	1.93		0.421	0.122	0.736	0.350
MeanCMIP5	[-]	-65.5		-5.39	16.1	1.51		0.391	0.302	0.806	0.450
MeanCMIP6	[-]	-63.4		-3.31	14.9	1.07		0.496	0.318	0.863	0.499
MIROC-ESM	[-]	-60.2		-2.18	18.5	2.20		0.364	0.181	0.646	0.343
MIROC-ESM2L	[-]	-60.8		-0.822	16.5	1.63		0.473	0.186	0.780	0.406
MPI-ESM-LR	[-]	-59.7		-0.0653	18.4	2.03		0.482	0.127	0.688	0.356
MPI-ESM1.2-HR	[-]	-60.9		0.527	17.3	1.66		0.471	0.180	0.764	0.399
NorESM1-ME	[-]	-63.2		-5.28	17.1	1.55		0.348	0.266	0.779	0.415
NorESM2-LM	[-]	-66.7		-7.88	19.6	1.30		0.406	0.190	0.831	0.404
UK-HadGEM2-ES	[-]	-72.0		-10.2	22.0	1.68		0.250	0.143	0.770	0.326
UKESM1-0-LL	[-]	-65.1		-3.93	18.5	1.30		0.502	0.164	0.839	0.417

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	-46.3
bcc-csm1-1	[-]	-41.8		2.73	16.5	1.74		0.618	0.130	0.776	0.414
BCC-CSM2-MR	[-]	-45.5		-1.03	16.4	1.25		0.643	0.121	0.829	0.429
CanESM2	[-]	-52.8		-9.37	25.2	1.19		0.189	0.0159	0.827	0.262
CanESM5	[-]	-47.4		-3.27	15.2	0.953		0.486	0.187	0.860	0.430
CESM1-BGC	[-]	-58.3		-13.7	20.6	1.01		0.122	0.255	0.853	0.371
CESM2	[-]	-47.8		-3.33	15.6	0.656		0.498	0.256	0.926	0.484
GFDL-ESM2G	[-]	-47.5		-3.52	16.1	1.37		0.454	0.179	0.837	0.412
GFDL-ESM4	[-]	-42.0		2.97	17.7	1.42		0.505	0.0986	0.806	0.377
IPSL-CM5A-LR	[-]	-55.3		-10.9	20.5	1.77		0.229	0.0756	0.762	0.285
IPSL-CM6A-LR	[-]	-44.4		0.349	17.9	1.61		0.561	0.0635	0.801	0.372
MeanCMIP5	[-]	-49.9		-5.07	14.6	1.02		0.361	0.247	0.906	0.440
MeanCMIP6	[-]	-45.4		-0.655	12.8	0.892		0.612	0.302	0.882	0.525
MIROC-ESM	[-]	-45.7		-0.697	17.5	1.74		0.406	0.140	0.751	0.360
MIROC-ESM2L	[-]	-45.8		1.01	15.6	1.67		0.420	0.193	0.767	0.393
MPI-ESM-LR	[-]	-41.9		3.03	17.1	1.31		0.578	0.108	0.818	0.403
MPI-ESM1.2-HR	[-]	-40.8		3.35	17.0	1.49		0.376	0.140	0.789	0.361
NorESM1-ME	[-]	-51.5		-7.69	16.7	1.07		0.294	0.266	0.863	0.422
NorESM2-LM	[-]	-46.3		-1.53	15.7	1.31		0.569	0.206	0.829	0.452
UK-HadGEM2-ES	[-]	-55.7		-9.29	19.5	1.02		0.152	0.173	0.906	0.351
UKESM1-0-LL	[-]	-46.5		-1.50	15.0	1.14		0.603	0.148	0.877	0.444

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	-34.9
bcc-csm1-1	[-]	-57.3		-20.0	27.8	2.00		0.00	0.303	0.756	0.341
BCC-CSM2-MR	[-]	-55.7		-23.6	28.4	3.02		0.00	0.509	0.506	0.381
CanESM2	[-]	-81.0		-67.9	75.2	2.00		0.00	0.101	0.756	0.239
CanESM5	[-]	-77.3		-66.7	79.8	3.02		0.00	0.00	0.506	0.127
CESM1-BGC	[-]	-45.6		-1.52	9.51	0.983		0.908	0.547	0.937	0.735
CESM2	[-]	-48.8		-14.2	16.9	2.00		0.137	0.557	0.756	0.502
GFDL-ESM2G	[-]	-60.8		-28.7	38.1	2.00		0.00	0.122	0.756	0.250
GFDL-ESM4	[-]	-60.2		-18.7	29.0	2.00		0.00	0.146	0.756	0.262
IPSL-CM5A-LR	[-]	-70.6		-40.6	44.2	2.00		0.00	0.351	0.756	0.365
IPSL-CM6A-LR	[-]	-54.4		-17.7	18.5	3.02		0.00	0.720	0.506	0.487
MeanCMIP5	[-]	-58.5		-24.8	28.7	2.00		0.00	0.531	0.756	0.454
MeanCMIP6	[-]	-52.1		-19.3	23.7	2.00		0.00	0.533	0.756	0.456
MIROC-ESM	[-]	-48.7		-13.4	18.0	2.02		0.187	0.513	0.752	0.492
MIROC-ESM2L	[-]	-29.6		0.747	15.3	2.00		0.955	0.238	0.756	0.547
MPI-ESM-LR	[-]	-66.2		-28.2	39.2	2.02		0.00	0.110	0.752	0.243
MPI-ESM1.2-HR	[-]	-46.5		-7.95	14.4	2.00		0.518	0.521	0.756	0.579
NorESM1-ME	[-]	-37.3		1.90	6.60	0.983		0.884	0.641	0.937	0.776
NorESM2-LM	[-]	-45.6		-12.2	15.8	2.00		0.258	0.542	0.756	0.525
UK-HadGEM2-ES	[-]	-53.6		-13.8	12.5	3.02		0.160	0.625	0.506	0.479
UKESM1-0-LL	[-]	-55.0		-21.8	26.4	0.983		0.00	0.392	0.937	0.430

Equatorial Africa Equatorial Asia Global - Land High Latitudes South America - Amazon 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: LW_IN_F-LW_OUT