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	[-]	2.94
ACCESS-ESM1-5	[-]	3.42	3.10	2.94	0.0989	0.00778		0.0467	0.569	0.247		0.617	0.623	0.988	0.765	0.723
BCC-CSM2-MR	[-]	4.80	4.19	2.92	0.243	0.0161		0.375	1.11	0.642		0.486	0.373	0.934	0.623	0.558
CanESM2	[-]	3.10	3.04	2.93	0.141			0.0330	0.680	0.632		0.573	0.589	0.938	0.696	0.677
CanESM5	[-]	3.58	3.39	2.94	0.325			0.140	0.745	0.668		0.513	0.575	0.957	0.626	0.649
CESM2	[-]	5.15	4.87	2.94	0.288	0.0179		0.564	1.23	0.745		0.405	0.431	0.944	0.489	0.540
CNRM-ESM2-1	[-]	4.67	3.88	2.94	0.912	0.000196		0.276	0.714	0.374		0.654	0.533	0.976	0.950	0.729
EnsembleCMIP5	[-]	4.83	4.61	2.93	0.549			0.493	0.781	0.0410		0.521	0.591	0.998	0.884	0.717
EnsembleCMIP6	[-]	5.06	4.47	2.94	0.917			0.449	0.679	0.0544		0.565	0.582	0.997	0.843	0.714
GFDL_ESM4	[-]	7.05	5.10	2.94	1.95			0.634	1.06	0.0267		0.545	0.485	0.998	0.943	0.691
IPSL-CM5A-LR	[-]	10.9	8.53	2.93	1.93	0.00481		1.65	2.25	0.0284		0.217	0.290	0.999	0.660	0.491
IPSL-CM6A-LR	[-]	4.10	3.76	2.92	0.402	0.0263		0.252	0.679	0.135		0.587	0.564	0.993	0.827	0.707
MIROC-ES2L	[-]	6.10	5.57	2.93	0.666	0.000391		0.781	1.28	0.809		0.348	0.446	0.888	0.343	0.494
MPI-ESM-LR	[-]	4.25	4.22	2.81	0.214	0.122		0.439	0.825	0.411		0.525	0.577	0.978	0.724	0.676
MPI-ESM1-2-LR	[-]	6.26	6.04	2.82	0.442	0.122		1.00	1.63	0.238		0.406	0.329	0.983	0.725	0.554
NorESM1-M	[-]	3.14	2.71	2.93	0.210			-0.0640	0.706	0.350		0.541	0.550	0.984	0.744	0.674
NorESM2-LM	[-]	5.36	4.45	2.94	0.617			0.447	1.06	0.750		0.437	0.459	0.955	0.527	0.567
UKESM1-0-LL	[-]	6.52	5.79	2.92	0.726	0.0251		0.853	1.12	0.158		0.379	0.475	0.991	0.603	0.585

	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	[-]	96.3
ACCESS-ESM1-5	[-]	94.5	91.9	95.7	5.33	0.601		-0.0907	1.17	1.18		0.369	0.514	0.797	0.927	0.624
BCC-CSM2-MR	[-]	114.	111.	95.5	12.0	0.736		0.350	1.30	0.995		0.391	0.455	0.820	0.892	0.603
CanESM2	[-]	129.	117.	96.0	12.8			0.461	1.81	1.63		0.295	0.463	0.653	0.718	0.518
CanESM5	[-]	177.	147.	96.3	62.6			1.16	1.61	1.09		0.256	0.519	0.810	0.798	0.580
CESM2	[-]	125.	106.	95.4	19.0	0.848		0.253	1.27	1.07		0.393	0.449	0.830	0.915	0.607
CNRM-ESM2-1	[-]	143.	101.	96.2	42.1	0.0735		0.102	1.11	1.39		0.422	0.449	0.716	0.928	0.593
EnsembleCMIP5	[-]	159.	131.	96.0	28.5			0.793	1.33	0.989		0.329	0.513	0.786	0.908	0.610
EnsembleCMIP6	[-]	159.	113.	96.3	45.8			0.379	0.842	0.791		0.464	0.595	0.843	0.957	0.691
GFDL_ESM4	[-]	93.2	82.6	96.3	33.5			-0.313	1.12	1.27		0.399	0.425	0.720	0.949	0.584
IPSL-CM5A-LR	[-]	170.	150.	95.3	54.9	0.728		1.25	2.17	1.14		0.201	0.394	0.757	0.778	0.505
IPSL-CM6A-LR	[-]	135.	113.	95.4	22.7	0.845		0.399	1.04	1.11		0.400	0.545	0.772	0.909	0.634
MIROC-ES2L	[-]	107.	108.	96.1	47.9	0.143		0.263	1.38	1.70		0.346	0.451	0.716	0.890	0.571
MPI-ESM-LR	[-]	154.	144.	87.5	9.41	8.48		1.39	1.87	1.03		0.257	0.375	0.818	0.853	0.535
MPI-ESM1-2-LR	[-]	136.	130.	87.8	7.70	8.50		1.02	1.87	1.00		0.270	0.352	0.825	0.768	0.513
NorESM1-M	[-]	159.	126.	96.0	32.9			0.689	1.72	1.10		0.286	0.448	0.791	0.661	0.527
NorESM2-LM	[-]	131.	106.	96.3	41.9			0.231	1.28	1.14		0.375	0.444	0.819	0.905	0.598
UKESM1-0-LL	[-]	160.	128.	95.4	32.5	0.903		0.751	1.75	1.07		0.263	0.344	0.809	0.750	0.502

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	[-]	0.616	0.562	0.638		0.616	0.559	0.675	0.617
BCC-CSM2-MR	[-]	0.690	0.348			0.688	0.383		0.536
CanESM2	[-]	0.703	0.471	0.609		0.709	0.789	0.546	0.681
CanESM5	[-]	0.582	0.540	0.517		0.662	0.633	0.567	0.621
CESM2	[-]		0.425	0.548			0.388	0.621	0.504
CNRM-ESM2-1	[-]	0.810	0.773	0.705		0.722	0.813	0.802	0.779
EnsembleCMIP5	[-]	0.738	0.488	0.574		0.633	0.555	0.469	0.552
EnsembleCMIP6	[-]	0.658	0.478	0.628		0.735	0.539	0.518	0.598
GFDL_ESM4	[-]	0.677	0.408	0.460		0.718	0.534	0.533	0.595
IPSL-CM5A-LR	[-]	0.540	0.490	0.531		0.339	0.182	0.338	0.287
IPSL-CM6A-LR	[-]	0.723	0.666	0.660		0.720	0.764	0.857	0.780
MIROC-ES2L	[-]	0.603	0.549	0.552		0.254	0.493	0.664	0.470
MPI-ESM-LR	[-]								0.00
MPI-ESM1-2-LR	[-]	0.653	0.446	0.439		0.664	0.191	0.355	0.403
NorESM1-M	[-]	0.617	0.484	0.583		0.522	0.635	0.455	0.537
NorESM2-LM	[-]	0.554	0.503	0.563		0.636	0.399	0.509	0.514
UKESM1-0-LL	[-]	0.679	0.552	0.401		0.362	0.384	0.261	0.336

	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	[-]	0.476	0.441	0.571		0.737	0.656	0.725	0.706
BCC-CSM2-MR	[-]	0.629	0.520			0.899	0.752		0.825
CanESM2	[-]	0.448	0.491	0.485		0.415	0.511	0.497	0.474
CanESM5	[-]	0.363	0.361	0.369		0.605	0.631	0.599	0.611
CESM2	[-]		0.487	0.588			0.735	0.816	0.776
CNRM-ESM2-1	[-]	0.605	0.552	0.661		0.879	0.715	0.758	0.784
EnsembleCMIP5	[-]	0.385	0.382	0.399		0.511	0.562	0.533	0.535
EnsembleCMIP6	[-]	0.399	0.382	0.417		0.531	0.555	0.533	0.540
GFDL_ESM4	[-]	0.381	0.362	0.381		0.486	0.503	0.481	0.490
IPSL-CM5A-LR	[-]	0.467	0.523	0.528		0.533	0.422	0.560	0.505
IPSL-CM6A-LR	[-]	0.736	0.642	0.668		0.932	0.707	0.876	0.838
MIROC-ES2L	[-]	0.508	0.493	0.524		0.904	0.690	0.753	0.782
MPI-ESM-LR	[-]								0.00
MPI-ESM1-2-LR	[-]	0.521	0.435	0.552		0.530	0.584	0.565	0.560
NorESM1-M	[-]	0.423	0.429	0.415		0.592	0.535	0.499	0.542
NorESM2-LM	[-]	0.385	0.378	0.391		0.515	0.535	0.518	0.522
UKESM1-0-LL	[-]	0.535	0.478	0.541		0.573	0.529	0.666	0.589

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