Mean State

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nbp(2015) [Pg]
diff(2015) [Pg]
Difference Score [1]
Trajectory Score [1]
Temporal Distribution Score [1]
Overall Score [1]
Benchmark [-] -37.4
E3SMv3 highECS 0051 [-] -30.1 7.31 0.823 0.973 0.525 0.774
E3SMv3 highECS 0091 [-] -27.3 10.1 0.764 0.957 0.415 0.712
E3SMv3 highECS 0101 [-] -26.2 11.3 0.741 1.00 0.570 0.770
E3SMv3 highECS 0111 [-] -30.0 7.47 0.820 0.931 0.269 0.673
E3SMv3 highECS 0121 [-] -26.1 11.3 0.741 0.974 0.416 0.710
E3SMv3 highECS 0131 [-] -29.7 7.75 0.814 0.984 0.504 0.767
E3SMv3 highECS 0141 [-] -21.5 16.0 0.654 0.973 0.390 0.672
E3SMv3 highECS 0151 [-] -24.8 12.7 0.714 0.979 0.493 0.729
E3SMv3 highECS 0161 [-] -19.4 18.0 0.620 0.973 0.510 0.701
E3SMv3 highECS 0171 [-] -30.6 6.89 0.833 0.990 0.480 0.768
E3SMv3 highECS 0181 [-] -24.2 13.2 0.703 0.968 0.418 0.697
E3SMv3 highECS 0191 [-] -26.0 11.4 0.739 0.953 0.520 0.737
E3SMv3 highECS 0201 [-] -21.3 16.2 0.650 0.978 0.547 0.725
E3SMv3 highECS 0211 [-] -20.0 17.4 0.629 0.934 0.276 0.613
E3SMv3 highECS 0221 [-] -31.4 6.05 0.852 0.965 0.504 0.773
E3SMv3 highECS 0231 [-] -30.5 6.91 0.832 0.842 0.389 0.688
E3SMv3 highECS 0241 [-] -17.8 19.7 0.593 1.00 0.285 0.626
E3SMv3 highECS 0251 [-] -29.2 8.22 0.804 0.922 0.333 0.686
E3SMv3 highECS 0261 [-] -27.2 10.3 0.761 0.987 0.411 0.719
E3SMv3 highECS 0271 [-] -32.0 5.43 0.866 0.840 0.382 0.696
E3SMv3 highECS 0281 [-] -23.3 14.1 0.687 0.984 0.362 0.678
E3SMv3 highECS 0291 [-] -18.0 19.4 0.597 0.993 0.436 0.675
E3SMv3 highECS 0301 [-] -17.3 20.2 0.585 0.944 0.257 0.595
E3SMv3 highECS 0311 [-] -26.1 11.4 0.739 0.971 0.365 0.692
E3SMv3 highECS 0321 [-] -28.3 9.11 0.785 1.00 0.465 0.750

Spatially integrated regional mean

MODEL COLORS
Data not available
ACCUMULATION
Data not available
TEMPORAL TAYLOR DIAGRAM
Data not available
REGIONAL MEAN
Data not available
ACCUMULATION
Data not available

All Models

Benchmark
Data not available
Data not available
E3SMv3 highECS 0051
Data not available
Data not available
E3SMv3 highECS 0091
Data not available
Data not available
E3SMv3 highECS 0101
Data not available
Data not available
E3SMv3 highECS 0111
Data not available
Data not available
E3SMv3 highECS 0121
Data not available
Data not available
E3SMv3 highECS 0131
Data not available
Data not available
E3SMv3 highECS 0141
Data not available
Data not available
E3SMv3 highECS 0151
Data not available
Data not available
E3SMv3 highECS 0161
Data not available
Data not available
E3SMv3 highECS 0171
Data not available
Data not available
E3SMv3 highECS 0181
Data not available
Data not available
E3SMv3 highECS 0191
Data not available
Data not available
E3SMv3 highECS 0201
Data not available
Data not available
E3SMv3 highECS 0211
Data not available
Data not available
E3SMv3 highECS 0221
Data not available
Data not available
E3SMv3 highECS 0231
Data not available
Data not available
E3SMv3 highECS 0241
Data not available
Data not available
E3SMv3 highECS 0251
Data not available
Data not available
E3SMv3 highECS 0261
Data not available
Data not available
E3SMv3 highECS 0271
Data not available
Data not available
E3SMv3 highECS 0281
Data not available
Data not available
E3SMv3 highECS 0291
Data not available
Data not available
E3SMv3 highECS 0301
Data not available
Data not available
E3SMv3 highECS 0311
Data not available
Data not available
E3SMv3 highECS 0321
Data not available
Data not available

Data Information

  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