Mean State

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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 [-] 4.46
BCC-CSM2-MR [-] 6.60 2.14 4.26 5.56 0.444 0.296 0.0251 0.265
BGCv2LND.GSW [-] 6.17 1.72 4.06 1.51 0.373 0.357 0.679 0.442
BGCv2LNDATM [-] 5.62 1.16 4.76 4.53 0.259 0.314 0.191 0.269
CanESM5 [-] 8.53 4.08 4.93 3.01 0.194 0.296 0.508 0.323
MeanCMIP6 [-] 4.65 0.191 2.52 4.03 0.534 0.346 0.224 0.362
MIROC-ES2L [-] 7.41 2.95 3.85 2.52 0.463 0.360 0.590 0.443
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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 [-] 4.40
BCC-CSM2-MR [-] 5.00 0.606 1.54 2.03 0.554 0.266 0.749 0.459
BGCv2LND.GSW [-] 10.1 5.72 5.98 0.00 0.00382 0.325 1.00 0.413
BGCv2LNDATM [-] 12.1 7.69 7.79 0.00 0.000561 0.315 1.00 0.408
CanESM5 [-] 9.34 4.95 5.07 0.00 0.00811 0.372 1.00 0.438
MeanCMIP6 [-] 6.79 2.40 2.63 1.02 0.0969 0.387 0.933 0.451
MIROC-ES2L [-] 4.59 0.197 1.06 1.02 0.826 0.364 0.933 0.621
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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 [-] 2.71
BCC-CSM2-MR [-] 2.45 -0.252 1.80 1.11 0.578 0.441 0.859 0.580
BGCv2LND.GSW [-] 2.42 -0.279 1.89 0.802 0.524 0.444 0.896 0.577
BGCv2LNDATM [-] 2.27 -0.427 1.90 0.760 0.533 0.437 0.892 0.575
CanESM5 [-] 3.29 0.579 2.06 0.879 0.532 0.455 0.898 0.585
MeanCMIP6 [-] 2.19 -0.519 1.62 0.778 0.573 0.482 0.900 0.609
MIROC-ES2L [-] 2.58 -0.133 2.02 1.34 0.515 0.445 0.807 0.553
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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 [-] 2.29
BCC-CSM2-MR [-] 2.10 -0.134 1.43 0.933 0.714 0.508 0.936 0.667
BGCv2LND.GSW [-] 1.77 -0.454 1.45 0.335 0.618 0.512 0.977 0.655
BGCv2LNDATM [-] 1.89 -0.335 1.37 0.376 0.681 0.507 0.970 0.666
CanESM5 [-] 2.42 0.133 1.21 0.659 0.744 0.557 0.961 0.705
MeanCMIP6 [-] 1.73 -0.556 1.22 0.341 0.673 0.558 0.973 0.691
MIROC-ES2L [-] 2.57 0.282 1.60 0.994 0.647 0.519 0.948 0.658
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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 [-] 9.78
BCC-CSM2-MR [-] 4.72 -5.06 5.64 2.36 0.144 0.345 0.583 0.354
BGCv2LND.GSW [-] 8.33 -1.45 3.31 0.667 0.409 0.326 0.924 0.496
BGCv2LNDATM [-] 10.9 1.11 2.82 2.01 0.594 0.341 0.721 0.499
CanESM5 [-] 3.57 -6.21 6.55 2.02 0.0883 0.377 0.732 0.394
MeanCMIP6 [-] 4.78 -5.00 5.41 2.02 0.0984 0.371 0.661 0.376
MIROC-ES2L [-] 5.79 -3.99 4.54 4.05 0.166 0.358 0.262 0.286
Download Data
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 [-] 2.60
BCC-CSM2-MR [-] 2.46 -0.129 1.71 0.816 0.642 0.468 0.922 0.625
BGCv2LND.GSW [-] 2.07 -0.513 1.75 0.782 0.574 0.472 0.907 0.606
BGCv2LNDATM [-] 1.94 -0.643 1.79 0.704 0.576 0.462 0.916 0.604
CanESM5 [-] 3.13 0.532 1.91 0.821 0.608 0.479 0.920 0.622
MeanCMIP6 [-] 2.05 -0.549 1.55 0.681 0.623 0.511 0.938 0.646
MIROC-ES2L [-] 2.57 -0.0330 1.92 1.00 0.578 0.470 0.872 0.597

Temporally integrated period mean

BENCHMARK MEAN
Data not available
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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

MODEL COLORS
Data not available
REGIONAL MEAN
Data not available
ANNUAL CYCLE
Data not available
MONTHLY ANOMALY
Data not available
ANNUAL CYCLE
Data not available

All Models

Benchmark
Data not available
Data not available
BCC-CSM2-MR
Data not available
Data not available
BGCv2LND.GSW
Data not available
Data not available
BGCv2LNDATM
Data not available
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CanESM5
Data not available
Data not available
MeanCMIP6
Data not available
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MIROC-ES2L
Data not available
Data not available

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: RECO_DT_VUT_REF