Mean State

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Period Mean (original grids) [degC]
Bias [degC]
RMSE [degC]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Overall Score [1]
Benchmark [-] 24.8
BCC-CSM2-MR [-] 27.2 2.41 2.75 0.00 0.160 0.520 1.00 0.550
BGCv2LND.GSW [-] 25.7 0.887 1.42 0.508 0.549 0.601 0.966 0.679
BGCv2LNDATM [-] 25.1 0.264 0.882 0.00 0.628 0.675 1.00 0.744
CanESM5 [-] 27.9 3.07 3.43 0.508 0.0946 0.506 0.966 0.518
GFDL-ESM4 [-] 26.0 1.26 1.98 0.00 0.388 0.379 1.00 0.536
MeanCMIP6 [-] 27.0 2.23 2.55 0.508 0.182 0.512 0.966 0.543
MIROC-ES2L [-] 26.8 2.06 2.44 2.51 0.211 0.418 0.631 0.419
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Period Mean (original grids) [degC]
Bias [degC]
RMSE [degC]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Overall Score [1]
Benchmark [-] 25.3
BCC-CSM2-MR [-] 27.5 2.20 2.31 1.02 0.0391 0.374 0.933 0.430
BGCv2LND.GSW [-] 25.9 0.538 0.856 0.00 0.453 0.409 1.00 0.568
BGCv2LNDATM [-] 25.6 0.290 0.650 1.02 0.653 0.458 0.933 0.625
CanESM5 [-] 26.7 1.41 1.79 0.00 0.125 0.363 1.00 0.463
GFDL-ESM4 [-] 26.7 1.32 1.75 1.02 0.142 0.231 0.933 0.384
MeanCMIP6 [-] 26.7 1.35 1.51 1.02 0.138 0.453 0.933 0.494
MIROC-ES2L [-] 25.7 0.372 1.25 1.02 0.578 0.179 0.933 0.468
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Period Mean (original grids) [degC]
Bias [degC]
RMSE [degC]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Overall Score [1]
Benchmark [-] 10.4
BCC-CSM2-MR [-] 9.99 -0.398 3.68 0.306 0.768 0.648 0.971 0.759
BGCv2LND.GSW [-] 9.97 -0.437 3.13 0.223 0.808 0.695 0.985 0.796
BGCv2LNDATM [-] 10.9 0.487 3.31 0.356 0.804 0.684 0.976 0.787
CanESM5 [-] 11.2 0.830 3.89 0.402 0.751 0.645 0.967 0.752
GFDL-ESM4 [-] 10.2 -0.197 3.25 0.316 0.791 0.667 0.973 0.774
MeanCMIP6 [-] 7.55 -2.83 4.77 0.271 0.606 0.664 0.973 0.727
MIROC-ES2L [-] 12.2 1.79 3.94 0.266 0.730 0.652 0.978 0.753
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Period Mean (original grids) [degC]
Bias [degC]
RMSE [degC]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Overall Score [1]
Benchmark [-] 2.65
BCC-CSM2-MR [-] 1.11 -1.54 4.61 0.162 0.822 0.646 0.989 0.776
BGCv2LND.GSW [-] 1.08 -1.33 4.00 0.0422 0.853 0.678 0.997 0.801
BGCv2LNDATM [-] 3.22 0.807 3.86 0.169 0.868 0.700 0.989 0.814
CanESM5 [-] 2.66 0.00490 3.97 0.0608 0.848 0.682 0.996 0.802
GFDL-ESM4 [-] 2.45 -0.203 3.48 0.0405 0.879 0.696 0.997 0.817
MeanCMIP6 [-] -1.69 -4.34 5.86 0.0405 0.648 0.653 0.997 0.738
MIROC-ES2L [-] 3.23 0.576 4.01 0.0807 0.864 0.670 0.995 0.800
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Period Mean (original grids) [degC]
Bias [degC]
RMSE [degC]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Overall Score [1]
Benchmark [-] 25.8
BCC-CSM2-MR [-] 27.8 2.02 2.49 0.00 0.119 0.261 1.00 0.410
BGCv2LND.GSW [-] 25.7 -0.0342 0.743 0.00 0.898 0.386 1.00 0.667
BGCv2LNDATM [-] 25.0 -0.780 1.01 0.678 0.442 0.419 0.955 0.559
CanESM5 [-] 30.7 4.95 5.85 0.00 0.0396 0.0729 1.00 0.296
GFDL-ESM4 [-] 27.1 1.36 2.49 0.678 0.196 0.138 0.916 0.347
MeanCMIP6 [-] 27.1 1.35 1.67 0.339 0.227 0.363 0.978 0.483
MIROC-ES2L [-] 25.7 -0.0861 1.45 1.36 0.496 0.209 0.833 0.437
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Period Mean (original grids) [degC]
Bias [degC]
RMSE [degC]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Overall Score [1]
Benchmark [-] 8.01
BCC-CSM2-MR [-] 7.45 -0.557 3.80 0.176 0.818 0.669 0.988 0.786
BGCv2LND.GSW [-] 7.52 -0.481 3.35 0.164 0.835 0.717 0.989 0.814
BGCv2LNDATM [-] 8.66 0.658 3.53 0.335 0.840 0.705 0.977 0.807
CanESM5 [-] 8.90 0.886 4.00 0.302 0.803 0.679 0.980 0.785
GFDL-ESM4 [-] 7.76 -0.249 3.41 0.211 0.831 0.702 0.986 0.805
MeanCMIP6 [-] 4.33 -3.68 5.15 0.141 0.629 0.680 0.991 0.745
MIROC-ES2L [-] 9.94 1.93 4.23 0.155 0.763 0.684 0.990 0.780

Temporally integrated period mean

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

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
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BCC-CSM2-MR
Data not available
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BGCv2LND.GSW
Data not available
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BGCv2LNDATM
Data not available
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CanESM5
Data not available
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GFDL-ESM4
Data not available
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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: TA_F