Global - Land

	Download Data	nbp(2015) [Pg]	diff(2015) [Pg]		Difference Score [1]	Trajectory Score [1]	Temporal Distribution Score [1]	Overall Score [1]
Benchmark	[-]	-37.4
E3SMv3 lowECS 0051	[-]	-29.7	7.73		0.814	0.952	0.400	0.722
E3SMv3 lowECS 0091	[-]	-32.3	5.17		0.872	0.956	0.616	0.815
E3SMv3 lowECS 0101	[-]	-25.6	11.8		0.731	0.973	0.539	0.748
E3SMv3 lowECS 0111	[-]	-34.5	2.99		0.924	0.926	0.463	0.771
E3SMv3 lowECS 0121	[-]	-25.4	12.0		0.726	0.947	0.468	0.714
E3SMv3 lowECS 0131	[-]	-26.6	10.8		0.750	0.977	0.436	0.721
E3SMv3 lowECS 0141	[-]	-27.6	9.80		0.771	0.903	0.339	0.671
E3SMv3 lowECS 0151	[-]	-31.9	5.51		0.864	0.971	0.422	0.752
E3SMv3 lowECS 0161	[-]	-23.7	13.7		0.694	0.987	0.454	0.712
E3SMv3 lowECS 0171	[-]	-32.6	4.85		0.879	0.958	0.417	0.751
E3SMv3 lowECS 0181	[-]	-30.9	6.56		0.840	0.978	0.587	0.802
E3SMv3 lowECS 0191	[-]	-27.5	9.93		0.768	0.980	0.424	0.724
E3SMv3 lowECS 0201	[-]	-28.4	9.02		0.787	1.00	0.622	0.803
E3SMv3 lowECS 0211	[-]	-32.5	4.90		0.878	0.890	0.456	0.741
E3SMv3 lowECS 0221	[-]	-29.0	8.41		0.800	0.945	0.504	0.750
E3SMv3 lowECS 0231	[-]	-26.5	11.0		0.747	0.965	0.425	0.712
E3SMv3 lowECS 0241	[-]	-31.5	5.98		0.853	0.984	0.519	0.785
E3SMv3 lowECS 0251	[-]	-32.1	5.38		0.867	0.874	0.284	0.675
E3SMv3 lowECS 0261	[-]	-30.9	6.56		0.840	0.984	0.570	0.798
E3SMv3 lowECS 0271	[-]	-28.0	9.48		0.777	0.941	0.343	0.687
E3SMv3 lowECS 0281	[-]	-32.2	5.22		0.870	0.977	0.354	0.734
E3SMv3 lowECS 0291	[-]	-29.5	7.97		0.809	0.966	0.397	0.724
E3SMv3 lowECS 0301	[-]	-31.8	5.60		0.862	0.945	0.327	0.711
E3SMv3 lowECS 0311	[-]	-28.4	9.07		0.786	0.965	0.380	0.710
E3SMv3 lowECS 0321	[-]	-25.9	11.5		0.737	0.934	0.516	0.729

Equatorial Africa Equatorial Asia Global - Land High Latitude South America - Amazon Temperate Latitudes Spatially integrated regional mean Accumulated mean

  Title:

Land anthropogenic carbon flux estimates

  Institution:

Global Carbon Project

  History:

2020-03-09: downloaded source from https://www.globalcarbonproject.org/carbonbudget/archive/2016/Global_Carbon_Budget_2016v1.0.xlsx 2020-03-09: converted to netCDF with https://github.com/rubisco-sfa/ILAMB-Data/blob/master/GCP/GCPtoNetCDF4.py

  References:

Le Quéré, C. and Andrew, R. M. and Canadell, J. G. and Sitch, S. and Korsbakken, J. I. and Peters, G. P. and Manning, A. C. and Boden, T. A. and Tans, P. P. and Houghton, R. A. and Keeling, R. F. and Alin, S. and Andrews, O. D. and Anthoni, P. and Barbero, L. and Bopp, L. and Chevallier, F. and Chini, L. P. and Ciais, P. and Currie, K. and Delire, C. and Doney, S. C. and Friedlingstein, P. and Gkritzalis, T. and Harris, I. and Hauck, J. and Haverd, V. and Hoppema, M. and Klein Goldewijk, K. and Jain, A. K. and Kato, E. and Körtzinger, A. and Landschützer, P. and Lefèvre, N. and Lenton, A. and Lienert, S. and Lombardozzi, D. and Melton, J. R. and Metzl, N. and Millero, F. and Monteiro, P. M. S. and Munro, D. R. and Nabel, J. E. M. S. and Nakaoka, S. and O’Brien, K. and Olsen, A. and Omar, A. M. and Ono, T. and Pierrot, D. and Poulter, B. and Rödenbeck, C. and Salisbury, J. and Schuster, U. and Schwinger, J. and Séférian, R. and Skjelvan, I. and Stocker, B. D. and Sutton, A. J. and Takahashi, T. and Tian, H. and Tilbrook, B. and van der Laan-Luijkx, I. T. and van der Werf, G. R. and Viovy, N. and Walker, A. P. and Wiltshire, A. J. and Zaehle, S. (2016), Global Carbon Budget 2016, Earth System Science Data, doi:10.5194/essd-8-605-2016