ABoVE domain Globe

	Download Data	Period Mean (original grids) [Pg yr-1]	Model Period Mean (intersection) [Pg yr-1]	Benchmark Period Mean (intersection) [Pg yr-1]	Model Period Mean (complement) [Pg yr-1]	Benchmark Period Mean (complement) [Pg yr-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]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	2.75
ACCESS-ESM1-5	[-]	3.86	3.50	2.75	0.112	0.00809		0.221	0.778	0.275		0.718	0.671	0.992	0.869	0.784
BCC-CSM2-MR	[-]	4.65	4.05	2.74	0.232	0.0157		0.387	1.02	0.551		0.651	0.586	0.932	0.821	0.715
CanESM2	[-]	3.10	3.03	2.74	0.142			0.0837	1.03	1.13		0.669	0.545	0.896	0.847	0.700
CanESM5	[-]	3.59	3.40	2.75	0.326			0.197	1.07	0.914		0.657	0.552	0.940	0.818	0.704
CESM2	[-]	5.30	5.02	2.75	0.291	0.0220		0.662	1.44	1.45		0.576	0.548	0.929	0.670	0.654
CNRM-ESM2-1	[-]	5.09	4.26	2.75	0.974	0.000184		0.443	0.953	0.198		0.716	0.653	0.987	0.826	0.767
EnsembleCMIP5	[-]	6.15	5.44	2.75	1.05			0.791	1.23	0.113		0.615	0.635	0.994	0.916	0.759
EnsembleCMIP6	[-]	5.34	4.67	2.75	1.02			0.564	0.835	0.0773		0.682	0.712	0.995	0.937	0.808
GFDL-ESM2M	[-]	9.91	7.91	2.75	2.24			1.52	2.65	0.615		0.480	0.377	0.965	0.825	0.605
GFDL_ESM4	[-]	8.82	6.42	2.75	2.40			1.08	1.78	0.206		0.589	0.505	0.990	0.913	0.700
GISS-E2-1-G	[-]	2.73	2.52	2.72	0.212	0.0302		-0.0621	0.871	0.575		0.749	0.561	0.959	0.909	0.748
IPSL-CM5A-LR	[-]	11.3	8.91	2.75	1.98	0.00467		1.82	2.95	0.156		0.400	0.341	0.992	0.761	0.567
IPSL-CM6A-LR	[-]	4.43	4.07	2.72	0.419	0.0313		0.403	0.982	0.209		0.678	0.621	0.990	0.889	0.760
MIROC-ES2L	[-]	6.35	5.82	2.74	0.690	0.000164		0.909	1.70	1.19		0.470	0.441	0.859	0.504	0.543
MPI-ESM-LR	[-]	4.70	4.68	2.63	0.230	0.126		0.639	1.33	0.244		0.614	0.567	0.986	0.790	0.705
MPI-ESM1-2-LR	[-]	6.52	6.30	2.63	0.453	0.126		1.14	1.88	0.0961		0.543	0.494	0.995	0.834	0.672
NorESM1-M	[-]	3.21	2.77	2.75	0.212			0.00681	0.935	1.09		0.669	0.576	0.931	0.867	0.724
NorESM2-LM	[-]	5.50	4.57	2.75	0.621			0.538	1.23	1.49		0.603	0.585	0.931	0.706	0.682
UKESM1-0-LL	[-]	6.72	5.98	2.72	0.742	0.0309		0.966	1.44	0.155		0.532	0.525	0.993	0.787	0.672

	Download Data	Period Mean (original grids) [Pg yr-1]	Model Period Mean (intersection) [Pg yr-1]	Benchmark Period Mean (intersection) [Pg yr-1]	Model Period Mean (complement) [Pg yr-1]	Benchmark Period Mean (complement) [Pg yr-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]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	115.
ACCESS-ESM1-5	[-]	120.	117.	114.	7.16	0.758		0.0718	1.56	1.37		0.441	0.480	0.785	0.942	0.626
BCC-CSM2-MR	[-]	117.	115.	114.	12.5	0.939		0.00895	1.54	1.12		0.478	0.443	0.818	0.941	0.625
CanESM2	[-]	129.	117.	114.	12.8			0.0434	2.32	2.00		0.386	0.437	0.650	0.834	0.549
CanESM5	[-]	177.	148.	115.	63.0			0.757	1.89	1.59		0.441	0.417	0.713	0.946	0.587
CESM2	[-]	132.	112.	113.	19.6	1.11		-0.0284	1.63	1.33		0.460	0.463	0.772	0.934	0.618
CNRM-ESM2-1	[-]	150.	106.	114.	43.6	0.0897		-0.189	1.57	1.62		0.482	0.393	0.666	0.928	0.572
EnsembleCMIP5	[-]	181.	143.	114.	37.6			0.662	1.67	1.14		0.454	0.461	0.761	0.948	0.617
EnsembleCMIP6	[-]	169.	120.	115.	49.0			0.132	1.15	0.979		0.574	0.522	0.809	0.960	0.678
GFDL-ESM2M	[-]	210.	165.	114.	52.4			1.16	2.83	1.44		0.363	0.285	0.733	0.895	0.512
GFDL_ESM4	[-]	121.	107.	115.	42.3			-0.164	1.60	1.49		0.492	0.401	0.701	0.939	0.587
GISS-E2-1-G	[-]	136.	117.	112.	19.3	2.30		0.109	1.60	1.17		0.440	0.419	0.752	0.912	0.588
IPSL-CM5A-LR	[-]	187.	165.	113.	57.9	0.943		1.18	2.67	1.20		0.326	0.353	0.781	0.896	0.542
IPSL-CM6A-LR	[-]	144.	120.	113.	24.1	1.07		0.149	1.40	1.15		0.546	0.476	0.788	0.961	0.650
MIROC-ES2L	[-]	117.	115.	114.	51.0	0.176		0.0112	1.95	2.00		0.408	0.377	0.631	0.921	0.543
MPI-ESM-LR	[-]	169.	159.	104.	10.1	10.6		1.36	2.36	1.29		0.402	0.371	0.715	0.929	0.558
MPI-ESM1-2-LR	[-]	143.	136.	104.	8.04	10.6		0.779	2.09	1.14		0.404	0.389	0.769	0.922	0.574
NorESM1-M	[-]	164.	130.	114.	33.9			0.348	1.85	1.26		0.389	0.454	0.760	0.865	0.584
NorESM2-LM	[-]	138.	112.	115.	43.3			-0.0587	1.64	1.32		0.444	0.469	0.787	0.938	0.622
UKESM1-0-LL	[-]	164.	132.	113.	33.4	1.18		0.422	1.79	1.16		0.433	0.416	0.790	0.922	0.595

ABoVE domain Globe

	Download Data	Precipitation|GPCPv2.3 Hellinger Distance [1]	SurfaceDownwardSWRadiation|CERESed4.1 Hellinger Distance [1]	SurfaceAirTemperature|CRU4.02 Hellinger Distance [1]		Precipitation|GPCPv2.3 Score [1]	SurfaceDownwardSWRadiation|CERESed4.1 Score [1]	SurfaceAirTemperature|CRU4.02 Score [1]	Overall Score [1]
ACCESS-ESM1-5	[-]	0.685	0.571	0.710		0.576	0.426	0.599	0.534
BCC-CSM2-MR	[-]	0.780	0.364			0.754	0.335		0.545
CanESM2	[-]	0.678	0.564	0.588		0.686	0.780	0.489	0.652
CanESM5	[-]	0.664	0.616	0.585		0.712	0.589	0.550	0.617
CESM2	[-]		0.431	0.596			0.295	0.649	0.472
CNRM-ESM2-1	[-]	0.719	0.716	0.577		0.630	0.691	0.678	0.667
EnsembleCMIP5	[-]	0.728	0.433	0.480		0.621	0.413	0.418	0.484
EnsembleCMIP6	[-]	0.761	0.489	0.589		0.704	0.433	0.457	0.531
GFDL-ESM2M	[-]								0.00
GFDL_ESM4	[-]	0.618	0.387	0.395		0.650	0.338	0.446	0.478
GISS-E2-1-G	[-]								0.00
IPSL-CM5A-LR	[-]	0.533	0.457	0.470		0.393	0.123	0.426	0.314
IPSL-CM6A-LR	[-]	0.824	0.744	0.680		0.617	0.614	0.721	0.651
MIROC-ES2L	[-]	0.697	0.581	0.635		0.306	0.400	0.692	0.466
MPI-ESM-LR	[-]								0.00
MPI-ESM1-2-LR	[-]	0.575	0.455	0.421		0.661	0.136	0.349	0.382
NorESM1-M	[-]	0.691	0.501	0.612		0.504	0.560	0.416	0.493
NorESM2-LM	[-]	0.588	0.468	0.549		0.684	0.301	0.453	0.479
UKESM1-0-LL	[-]	0.672	0.557	0.366		0.498	0.317	0.290	0.368

	Download Data	Precipitation|GPCPv2.3 Hellinger Distance [1]	SurfaceDownwardSWRadiation|CERESed4.1 Hellinger Distance [1]	SurfaceAirTemperature|CRU4.02 Hellinger Distance [1]		Precipitation|GPCPv2.3 Score [1]	SurfaceDownwardSWRadiation|CERESed4.1 Score [1]	SurfaceAirTemperature|CRU4.02 Score [1]	Overall Score [1]
ACCESS-ESM1-5	[-]	0.624	0.521	0.697		0.762	0.616	0.738	0.705
BCC-CSM2-MR	[-]	0.722	0.592			0.816	0.739		0.777
CanESM2	[-]	0.392	0.396	0.429		0.403	0.479	0.474	0.452
CanESM5	[-]	0.440	0.433	0.478		0.535	0.574	0.552	0.554
CESM2	[-]		0.523	0.643			0.750	0.783	0.767
CNRM-ESM2-1	[-]	0.689	0.595	0.705		0.846	0.759	0.775	0.794
EnsembleCMIP5	[-]	0.461	0.462	0.510		0.493	0.532	0.523	0.516
EnsembleCMIP6	[-]	0.452	0.454	0.508		0.498	0.532	0.511	0.513
GFDL-ESM2M	[-]								0.00
GFDL_ESM4	[-]	0.453	0.444	0.474		0.480	0.515	0.485	0.493
GISS-E2-1-G	[-]								0.00
IPSL-CM5A-LR	[-]	0.524	0.601	0.577		0.699	0.436	0.602	0.579
IPSL-CM6A-LR	[-]	0.834	0.720	0.779		0.819	0.727	0.871	0.806
MIROC-ES2L	[-]	0.576	0.559	0.598		0.799	0.753	0.773	0.775
MPI-ESM-LR	[-]								0.00
MPI-ESM1-2-LR	[-]	0.588	0.469	0.612		0.715	0.645	0.619	0.660
NorESM1-M	[-]	0.498	0.520	0.520		0.541	0.519	0.482	0.514
NorESM2-LM	[-]	0.432	0.440	0.479		0.480	0.512	0.495	0.496
UKESM1-0-LL	[-]	0.683	0.537	0.612		0.826	0.588	0.747	0.720

ABoVE domain Globe Temporally integrated period mean Temporally integrated period mean max month Temporally integrated mean phase shift Temporally integrated mean phase shift score Temporally integrated period mean bias Temporally integrated period mean bias 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 Relationship with SurfaceAirTemperature Relationship with func_SurfaceAirTemperature

  Title:

FLUXCOM (RS+METEO) Global Land Carbon Fluxes using CRUNCEP climate data

  Version:

1

  Institutions:

Department Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Germany

  Source:

Data generated by Artificial Neural Networks and forced with CRUNCEPv6 meteorological data and MODIS (RS+METEO)

  History:

2020-08-25: downloaded source from ftp://ftp.bgc-jena.mpg.de/pub/outgoing/FluxCom/CarbonFluxes_v1_2017/RS+METEO/CRUNCEPv6/raw/monthly/

2020-08-25: converted to netCDF, additionally we apply a mask where |var|<1e-15 for all time.

  References:

Jung, M., M. Reichstein, C.R. Schwalm, C. Huntingford, S. Sitch, A. Ahlstrom, A. Arneth, G. Camps-Valls, P. Ciais, P. Friedlingstein, F. Gans, K. Ichii, A.K. Jain, E. Kato, D. Papale, B. Poulter, B. Raduly, C. Rodenbeck, G. Tramontana, N. Viovy, Y.P. Wang, U. Weber, S. Zaehle and N. Zeng (2017), Compensatory water effects link yearly global land CO2 sink changes to temperature, Nature, 541, 516-520, doi:10.1038/nature20780

Tramontana, G., M. Jung, C.R. Schwalm, K. Ichii, G. Camps-Valls, B. Raduly, M. Reichstein, M.A. Arain, A. Cescatti, G. Kiely, L. Merbold, P. Serrano-Ortiz, S. Sickert, S. Wolf, and D. Papale (2016), Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms, Biogeosciences, 13, 4291-4313, doi:10.5194/bg-13-4291-2016

  Comments:

time_period: 1980-01 through 2013-12

temporal_resolution: monthly

spatial_resolution: 0.5 degree

units: g m-2 day-1

  Convention:

CF-1.8