Global - Land
bcc-csm1-1
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Period Mean (original grids) [g m-2 d-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]
Overall Score [1]
Benchmark [-] 3.58
bcc-csm1-1 [-] 2.23 -1.42 2.73 0.803 0.165 0.139 0.874 0.329
BCC-CSM2-MR [-] 2.57 -0.934 2.60 1.04 0.229 0.134 0.834 0.333
CanESM2 [-] 2.27 -1.37 2.92 1.56 0.208 0.144 0.749 0.311
CanESM5 [-] 3.29 -0.396 2.70 1.10 0.316 0.137 0.827 0.354
CESM1-BGC [-] 2.45 -1.09 2.77 0.992 0.199 0.151 0.857 0.340
CESM2 [-] 2.48 -1.16 2.73 0.968 0.161 0.167 0.861 0.339
GFDL-ESM2G [-] 3.03 -0.614 3.20 0.979 0.229 0.0459 0.845 0.292
GFDL-ESM4 [-] 1.97 -1.51 2.93 1.05 0.163 0.127 0.819 0.309
IPSL-CM5A-LR [-] 3.85 0.535 3.32 1.04 0.266 0.0933 0.832 0.321
IPSL-CM6A-LR [-] 2.38 -1.37 2.76 0.875 0.164 0.171 0.875 0.346
MeanCMIP5 [-] 2.79 -0.805 2.37 0.883 0.250 0.214 0.840 0.380
MeanCMIP6 [-] 2.65 -0.880 2.27 0.738 0.267 0.240 0.870 0.404
MIROC-ESM [-] 2.84 -0.746 2.60 0.892 0.260 0.142 0.873 0.354
MIROC-ESM2L [-] 2.88 -0.590 2.92 1.45 0.256 0.156 0.804 0.343
MPI-ESM-LR [-] 3.99 0.292 3.00 0.690 0.257 0.108 0.903 0.344
MPI-ESM1.2-HR [-] 2.91 -0.378 2.82 0.903 0.254 0.105 0.868 0.333
NorESM1-ME [-] 2.73 -0.760 2.67 1.14 0.241 0.147 0.853 0.347
NorESM2-LM [-] 2.47 -1.11 2.67 1.02 0.165 0.183 0.857 0.347
UK-HadGEM2-ES [-] 2.33 -1.22 3.01 1.21 0.179 0.0820 0.818 0.290
UKESM1-0-LL [-] 2.56 -0.867 2.80 0.800 0.199 0.132 0.876 0.335

Temporally integrated period mean click to collapse contents

BENCHMARK MEAN
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MODEL MEAN
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BIAS
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BIAS SCORE
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RMSE
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RMSE SCORE
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BENCHMARK MAX MONTH
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MODEL MAX MONTH
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DIFFERENCE IN MAX MONTH
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SEASONAL CYCLE SCORE
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Spatially integrated regional mean click to collapse contents

MODEL COLORS
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REGIONAL MEAN
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ANNUAL CYCLE
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MONTHLY ANOMALY
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ANNUAL CYCLE
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GrossPrimaryProductivity / FLUXNET2015 / 1991-2015 / global / MNAME

Benchmark
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bcc-csm1-1
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BCC-CSM2-MR
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CanESM2
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CanESM5
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CESM1-BGC
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CESM2
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GFDL-ESM2G
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GFDL-ESM4
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IPSL-CM5A-LR
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IPSL-CM6A-LR
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MeanCMIP5
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MeanCMIP6
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MIROC-ESM
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MIROC-ESM2L
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MPI-ESM-LR
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MPI-ESM1.2-HR
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NorESM1-ME
Data not available
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NorESM2-LM
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UK-HadGEM2-ES
Data not available
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UKESM1-0-LL
Data not available
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Data Information

  Title:
FluxNet Tower eddy covariance measurements (Tier 1)

  Version:
2015

  Institutions:
FluxNet, AmeriFlux, AfriFlux, AsiaFlux, ChinaFlux, Fluxnet-Canada, KoFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, GreenGrass, OzFlux-TERN, LBA, NECC, ICOS, TCOS-Siberia, and USCCC

  References:
Reichstein, M., D. Papale, R. Valentini, M. Aubinet, C. Bernhofer, A. Knohl, T. Laurila, A. Lindroth, E. Moors, K. Pilegaard, and G. Seufert (2007), Determinants of terrestrialecosystem carbon balance inferred from European eddy covarianceflux sites, Geophys. Res. Lett., 34, L01402, doi:10.1029/2006GL027880

Lasslop, G., M. Reichstein, D. Papale, A.D. Richardson, A. Arneth, A. Barr, P. Stoy, and G. Wohlfahrt (2010), Separation of net ecosystem exchange into assimilation and respiration using a light response curve approach: critical issues and global evaluation, Global Change Biology, 16, 187-208, doi:10.1111/j.1365-2486.2009.02041.x

Knauer, J., S. Zaehle, B.E. Medlyn, M. Reichstein, C.A. Williams, M. Migliavacca, M.G. De Kauwe, C. Werner, C. Keitel, P. Kolari, J.-M. Limousin, and M.-L. Linderson (2018), Towards physiologically meaningful water use efficiency estimates from eddy covariance data, Global Change Biology, 24(2), 694-710, doi:10.1111/gcb.13893

  Comment:
Fluxnet variable(s) used: GPP_DT_VUT_REF

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