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

	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	[-]	12.9
ACCESS-ESM1-5	[-]	15.3	14.7	12.9	0.242	0.00102		0.523	1.51	2.58		0.373	0.412	0.570	0.883	0.530
BCC-CSM2-MR	[-]	16.7	16.3	12.7	0.403	0.00403		1.08	1.81	2.18		0.259	0.487	0.629	0.675	0.507
BGCLND	[-]	16.9	16.3	12.9	0.611			0.938	1.68	1.52		0.298	0.432	0.765	0.691	0.524
BGCLNDATM_progCO2	[-]	20.7	20.1	12.9	0.637			1.99	2.58	1.71		0.232	0.488	0.730	0.489	0.485
CanESM5	[-]	22.6	19.9	12.9	0.999			2.19	2.47	2.26		0.120	0.521	0.661	0.737	0.512
CNRM-ESM2-1	[-]	9.95	9.79	12.9	0.457	0.00234		-0.761	2.06	2.98		0.256	0.379	0.530	0.768	0.462
EC-Earth3-CC	[-]	14.7	14.3	12.9	0.131			0.359	1.55	3.16		0.346	0.366	0.498	0.879	0.491
MeanCMIP6	[-]	14.9	14.7	12.9	0.461			0.627	1.37	2.10		0.338	0.515	0.622	0.825	0.563
MIROC-ES2L	[-]	16.6	14.6	12.9	0.893	0.000159		0.616	1.73	2.57		0.337	0.407	0.567	0.813	0.506
MPI-ESM1-2-LR	[-]	14.9	15.8	12.4	0.343	0.547		0.977	2.27	2.28		0.224	0.393	0.630	0.561	0.440
MRI-ESM2-0	[-]	25.3	24.7	12.7	0.669	0.00436		3.48	4.04	2.37		0.175	0.365	0.622	0.388	0.383
NorESM2-LM	[-]	10.3	10.3	12.9	0.605			-0.512	1.71	1.90		0.300	0.432	0.727	0.743	0.527
UKESM1-0-LL	[-]	13.9	13.6	12.9	0.334	0.00456		0.284	2.42	2.42		0.181	0.253	0.627	0.570	0.377

	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	[-]	5.79
ACCESS-ESM1-5	[-]	3.85	3.33	5.65	0.524	0.136		-1.73	2.41	2.25		0.0668	0.507	0.644	0.477	0.440
BCC-CSM2-MR	[-]	8.02	6.25	5.69	1.77	0.111		1.73	3.62	2.27		0.0706	0.235	0.658	0.200	0.280
BGCLND	[-]	12.6	9.01	5.79	3.64			3.11	3.35	2.21		0.0339	0.425	0.666	0.714	0.453
BGCLNDATM_progCO2	[-]	13.8	10.2	5.79	3.66			4.24	4.60	1.70		0.0391	0.452	0.757	0.406	0.421
CanESM5	[-]	9.60	5.57	5.81	3.70			3.66	3.80	2.35		0.00849	0.423	0.644	0.863	0.472
CNRM-ESM2-1	[-]	7.22	5.44	5.77	1.74	0.0210		1.62	2.05	3.11		0.100	0.275	0.492	0.711	0.370
EC-Earth3-CC	[-]	5.69	5.26	5.78	0.351			-0.680	3.22	2.85		0.0511	0.178	0.536	0.217	0.232
MeanCMIP6	[-]	6.76	5.01	5.79	1.84			1.27	1.62	2.29		0.164	0.487	0.655	0.878	0.534
MIROC-ES2L	[-]	5.82	2.82	5.77	2.71	0.0424		-1.08	1.56	2.90		0.120	0.341	0.518	0.862	0.436
MPI-ESM1-2-LR	[-]	7.20	5.73	3.35	1.71	2.44		3.93	4.17	2.52		0.0217	0.170	0.612	0.656	0.326
MRI-ESM2-0	[-]	12.5	9.76	5.67	2.73	0.138		6.74	6.95	2.11		0.0225	0.226	0.690	0.388	0.310
NorESM2-LM	[-]	6.89	4.58	5.79	2.26			1.40	1.56	2.12		0.139	0.396	0.690	0.989	0.522
UKESM1-0-LL	[-]	8.82	6.39	5.66	2.43	0.122		3.32	3.85	2.02		0.0480	0.0851	0.709	0.816	0.349

	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	[-]	95.7
ACCESS-ESM1-5	[-]	91.5	88.9	95.2	2.47	0.423		-0.0829	1.17	1.17		0.371	0.514	0.797	0.928	0.625
BCC-CSM2-MR	[-]	112.	106.	95.1	5.73	0.537		0.355	1.29	0.992		0.393	0.455	0.821	0.892	0.603
BGCLND	[-]	134.	125.	95.6	8.82	0.0685		0.683	1.25	0.801		0.340	0.531	0.855	0.816	0.614
BGCLNDATM_progCO2	[-]	143.	135.	95.6	8.24	0.0685		0.910	1.54	0.773		0.311	0.510	0.855	0.684	0.574
CanESM5	[-]	142.	129.	95.7	10.2			1.17	1.60	1.09		0.257	0.520	0.810	0.798	0.581
CNRM-ESM2-1	[-]	98.9	92.4	95.6	6.10	0.0572		0.0993	1.11	1.39		0.423	0.449	0.717	0.928	0.593
EC-Earth3-CC	[-]	126.	122.	95.7	4.41			0.575	1.71	1.43		0.323	0.348	0.723	0.840	0.517
MeanCMIP6	[-]	105.	98.8	95.7	6.31			0.264	0.895	0.875		0.455	0.564	0.821	0.942	0.669
MIROC-ES2L	[-]	110.	98.3	95.6	9.31	0.0967		0.264	1.38	1.70		0.346	0.451	0.716	0.889	0.570
MPI-ESM1-2-LR	[-]	137.	130.	87.8	6.73	7.91		1.02	1.87	1.00		0.270	0.352	0.825	0.768	0.513
MRI-ESM2-0	[-]	181.	172.	95.3	9.08	0.356		2.00	3.09	1.02		0.197	0.313	0.824	0.507	0.431
NorESM2-LM	[-]	102.	93.8	95.7	7.34			0.233	1.27	1.14		0.376	0.445	0.819	0.906	0.598
UKESM1-0-LL	[-]	124.	117.	95.0	6.94	0.646		0.751	1.75	1.06		0.264	0.344	0.809	0.750	0.502

	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	[-]	11.9
ACCESS-ESM1-5	[-]	11.4	11.8	11.9	0.252	0.0326		0.00775	0.722	0.317		0.662	0.598	0.982	0.828	0.733
BCC-CSM2-MR	[-]	15.6	15.6	11.9	0.639	0.0556		0.375	1.08	0.396		0.607	0.456	0.963	0.781	0.653
BGCLND	[-]	18.4	17.8	11.9	0.676	0.0434		0.550	0.949	0.248		0.556	0.590	0.984	0.812	0.706
BGCLNDATM_progCO2	[-]	14.8	14.2	11.9	0.546	0.0434		0.221	0.790	0.179		0.644	0.593	0.989	0.848	0.733
CanESM5	[-]	15.4	15.0	11.9	0.734			0.368	0.862	0.533		0.585	0.600	0.965	0.686	0.687
CNRM-ESM2-1	[-]	13.3	12.9	11.9	0.686	0.00264		0.157	0.716	0.375		0.746	0.574	0.973	0.945	0.762
EC-Earth3-CC	[-]	12.6	12.3	11.9	0.139			0.0281	1.10	0.458		0.547	0.477	0.958	0.648	0.621
MeanCMIP6	[-]	12.7	12.1	11.9	0.575			0.0701	0.481	0.178		0.781	0.691	0.985	0.974	0.824
MIROC-ES2L	[-]	18.2	17.4	11.9	1.04	0.00278		0.560	1.06	0.574		0.520	0.565	0.945	0.623	0.643
MPI-ESM1-2-LR	[-]	18.8	18.5	11.5	0.941	0.471		0.682	1.30	0.295		0.564	0.460	0.977	0.793	0.651
MRI-ESM2-0	[-]	31.7	31.7	11.9	1.16	0.0291		1.97	3.26	0.205		0.191	0.128	0.986	0.375	0.362
NorESM2-LM	[-]	15.2	13.8	11.9	0.515			0.276	1.03	0.555		0.580	0.527	0.968	0.729	0.666
UKESM1-0-LL	[-]	16.3	15.6	11.9	0.705	0.0493		0.445	0.851	0.360		0.634	0.602	0.978	0.800	0.723

	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	[-]	17.0
ACCESS-ESM1-5	[-]	14.7	14.6	17.0	0.143	0.00821		-0.761	1.59	1.97		0.188	0.511	0.702	0.948	0.572
BCC-CSM2-MR	[-]	17.0	16.8	17.0	0.288	0.00747		-0.0160	1.85	2.05		0.223	0.266	0.700	0.764	0.444
BGCLND	[-]	24.7	24.0	17.0	0.666			2.32	2.51	2.03		0.0966	0.360	0.696	0.956	0.494
BGCLNDATM_progCO2	[-]	29.6	28.9	17.0	0.672			3.94	4.16	1.89		0.0338	0.292	0.711	0.720	0.410
CanESM5	[-]	18.7	17.4	17.0	0.414			0.342	1.92	2.38		0.161	0.396	0.624	0.897	0.495
CNRM-ESM2-1	[-]	17.1	16.8	17.0	0.326	0.00307		0.0494	1.66	3.22		0.246	0.266	0.454	0.852	0.417
EC-Earth3-CC	[-]	18.1	18.0	17.0	0.122			0.285	2.57	2.64		0.138	0.158	0.579	0.593	0.325
MeanCMIP6	[-]	17.3	16.9	17.0	0.313			0.0940	1.43	2.25		0.237	0.453	0.651	0.976	0.554
MIROC-ES2L	[-]	16.5	15.3	17.0	0.511	0.00411		-0.417	1.30	2.94		0.261	0.337	0.524	0.981	0.488
MPI-ESM1-2-LR	[-]	21.9	21.0	16.6	0.192	0.403		1.49	3.21	1.87		0.0938	0.138	0.728	0.523	0.324
MRI-ESM2-0	[-]	31.7	31.4	17.0	0.445	0.0200		4.90	5.68	1.96		0.0254	0.246	0.711	0.389	0.323
NorESM2-LM	[-]	19.1	18.3	17.0	0.568			0.749	1.59	2.06		0.245	0.284	0.700	0.932	0.489
UKESM1-0-LL	[-]	22.3	22.1	17.0	0.347	0.0512		1.86	3.44	2.18		0.0799	0.120	0.656	0.709	0.337

	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	[-]	22.1
ACCESS-ESM1-5	[-]	24.5	24.2	22.0	0.776	0.122		0.157	0.817	0.628		0.608	0.599	0.950	0.810	0.713
BCC-CSM2-MR	[-]	30.9	29.1	21.9	1.49	0.196		0.472	1.13	0.468		0.582	0.477	0.955	0.835	0.665
BGCLND	[-]	30.2	28.8	22.1	1.44	0.0584		0.394	0.913	0.394		0.557	0.618	0.971	0.778	0.708
BGCLNDATM_progCO2	[-]	26.2	25.1	22.1	1.16	0.0584		0.177	0.855	0.309		0.606	0.595	0.977	0.825	0.720
CanESM5	[-]	31.2	30.1	22.1	2.57			0.649	1.12	0.681		0.499	0.564	0.943	0.634	0.641
CNRM-ESM2-1	[-]	24.7	23.1	22.1	1.51	0.00463		0.139	0.732	0.598		0.696	0.592	0.952	0.945	0.755
EC-Earth3-CC	[-]	30.5	29.8	22.1	0.920			0.445	1.41	0.682		0.496	0.427	0.933	0.657	0.588
MeanCMIP6	[-]	23.9	22.4	22.1	1.50			0.106	0.577	0.407		0.731	0.668	0.964	0.963	0.799
MIROC-ES2L	[-]	33.1	30.8	22.1	3.31	0.0216		0.629	1.28	1.12		0.470	0.528	0.895	0.574	0.599
MPI-ESM1-2-LR	[-]	36.1	34.8	20.9	1.73	1.27		0.857	1.52	0.490		0.481	0.420	0.962	0.724	0.601
MRI-ESM2-0	[-]	57.2	53.9	22.1	2.73	0.0753		2.04	3.25	0.422		0.203	0.185	0.967	0.331	0.374
NorESM2-LM	[-]	25.9	23.8	22.1	1.60			0.224	1.04	0.520		0.590	0.528	0.965	0.804	0.683
UKESM1-0-LL	[-]	30.4	28.4	22.0	1.81	0.145		0.503	1.01	0.495		0.572	0.589	0.963	0.756	0.694

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

  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) ftp://ftp.bgc-jena.mpg.de/pub/outgoing/FluxCom/CarbonFluxes_v1_2017/RS+METEO/CRUNCEPv6/raw/monthly/ ftp://ftp.bgc-jena.mpg.de/pub/outgoing/FluxCom/EnergyFluxes/RS_METEO/member/CRUNCEP_v8/monthly/

  History:

2024-01-18: downloaded ['TER.ANN.CRUNCEPv6.monthly.1980.nc', 'TER.ANN.CRUNCEPv6.monthly.1981.nc', 'TER.ANN.CRUNCEPv6.monthly.1982.nc', 'TER.ANN.CRUNCEPv6.monthly.1983.nc', 'TER.ANN.CRUNCEPv6.monthly.1984.nc', 'TER.ANN.CRUNCEPv6.monthly.1985.nc', 'TER.ANN.CRUNCEPv6.monthly.1986.nc', 'TER.ANN.CRUNCEPv6.monthly.1987.nc', 'TER.ANN.CRUNCEPv6.monthly.1988.nc', 'TER.ANN.CRUNCEPv6.monthly.1989.nc', 'TER.ANN.CRUNCEPv6.monthly.1990.nc', 'TER.ANN.CRUNCEPv6.monthly.1991.nc', 'TER.ANN.CRUNCEPv6.monthly.1992.nc', 'TER.ANN.CRUNCEPv6.monthly.1993.nc', 'TER.ANN.CRUNCEPv6.monthly.1994.nc', 'TER.ANN.CRUNCEPv6.monthly.1995.nc', 'TER.ANN.CRUNCEPv6.monthly.1996.nc', 'TER.ANN.CRUNCEPv6.monthly.1997.nc', 'TER.ANN.CRUNCEPv6.monthly.1998.nc', 'TER.ANN.CRUNCEPv6.monthly.1999.nc', 'TER.ANN.CRUNCEPv6.monthly.2000.nc', 'TER.ANN.CRUNCEPv6.monthly.2001.nc', 'TER.ANN.CRUNCEPv6.monthly.2002.nc', 'TER.ANN.CRUNCEPv6.monthly.2003.nc', 'TER.ANN.CRUNCEPv6.monthly.2004.nc', 'TER.ANN.CRUNCEPv6.monthly.2005.nc', 'TER.ANN.CRUNCEPv6.monthly.2006.nc', 'TER.ANN.CRUNCEPv6.monthly.2007.nc', 'TER.ANN.CRUNCEPv6.monthly.2008.nc', 'TER.ANN.CRUNCEPv6.monthly.2009.nc', 'TER.ANN.CRUNCEPv6.monthly.2010.nc', 'TER.ANN.CRUNCEPv6.monthly.2011.nc', 'TER.ANN.CRUNCEPv6.monthly.2012.nc', 'TER.ANN.CRUNCEPv6.monthly.2013.nc']

2024-04-09: converted to netCDF, additionally we apply a mask where |var|<1e-15 for all time.

  References:

Jung, M., S. Koirala, U. Weber, K. Ichii, F. Gans, Gustau-Camps-Valls, D. Papale, C. Schwalm, G. Tramontana, and M. Reichstein (2019), The FLUXCOM ensemble of global land-atmosphere energy fluxes, Scientific Data, 74, doi:10.1038/s41597-019-0076-8

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

  Coordinates:

lat_bnds lon_bnds