Mean State

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Period Mean (original grids) [W m-2]
Bias [W m-2]
RMSE [W m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Overall Score [1]
Benchmark [-] 105.
v3.LR.historical_0101 [-] 102. -2.80 21.3 0.871 0.944 0.743 0.917 0.837
v3alt.LR.highECS001.historical [-] 104. -1.02 20.1 0.363 0.941 0.756 0.968 0.855
v3alt.LR.highECS003.historical [-] 104. -0.844 22.3 0.871 0.953 0.734 0.917 0.835
v3alt.LR.lowECS001.historical [-] 102. -2.23 21.1 0.581 0.952 0.746 0.962 0.851
v3alt.LR.lowECS002.historical [-] 97.8 -6.78 22.0 0.436 0.911 0.743 0.963 0.840
v3alt.LR.lowECS003.historical [-] 97.5 -7.07 22.7 0.363 0.909 0.738 0.968 0.838
Download Data
Period Mean (original grids) [W m-2]
Bias [W m-2]
RMSE [W m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Overall Score [1]
Benchmark [-] 158.
v3.LR.historical_0101 [-] 154. -3.56 27.8 0.749 0.862 0.680 0.947 0.792
v3alt.LR.highECS001.historical [-] 155. -3.01 26.6 0.589 0.856 0.695 0.961 0.801
v3alt.LR.highECS003.historical [-] 156. -1.70 27.0 0.696 0.851 0.696 0.954 0.799
v3alt.LR.lowECS001.historical [-] 151. -6.36 26.7 0.776 0.860 0.685 0.946 0.794
v3alt.LR.lowECS002.historical [-] 149. -8.85 31.8 0.696 0.852 0.637 0.951 0.769
v3alt.LR.lowECS003.historical [-] 149. -9.01 29.0 0.749 0.850 0.664 0.947 0.781
Download Data
Period Mean (original grids) [W m-2]
Bias [W m-2]
RMSE [W m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Overall Score [1]
Benchmark [-] 140.
v3.LR.historical_0101 [-] 143. 3.48 28.2 0.605 0.823 0.642 0.949 0.764
v3alt.LR.highECS001.historical [-] 144. 3.68 27.3 0.498 0.825 0.649 0.958 0.770
v3alt.LR.highECS003.historical [-] 144. 3.70 27.9 0.619 0.831 0.645 0.947 0.767
v3alt.LR.lowECS001.historical [-] 140. 0.0366 26.9 0.591 0.843 0.647 0.949 0.771
v3alt.LR.lowECS002.historical [-] 136. -3.97 28.8 0.562 0.839 0.626 0.952 0.761
v3alt.LR.lowECS003.historical [-] 136. -3.92 28.2 0.533 0.836 0.634 0.951 0.764
Download Data
Period Mean (original grids) [W m-2]
Bias [W m-2]
RMSE [W m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Overall Score [1]
Benchmark [-] 158.
v3.LR.historical_0101 [-] 154. -3.56 27.8 0.749 0.862 0.680 0.947 0.792
v3alt.LR.highECS001.historical [-] 155. -3.01 26.6 0.589 0.856 0.695 0.961 0.801
v3alt.LR.highECS003.historical [-] 156. -1.70 27.0 0.696 0.851 0.696 0.954 0.799
v3alt.LR.lowECS001.historical [-] 151. -6.36 26.7 0.776 0.860 0.685 0.946 0.794
v3alt.LR.lowECS002.historical [-] 149. -8.85 31.8 0.696 0.852 0.637 0.951 0.769
v3alt.LR.lowECS003.historical [-] 149. -9.01 29.0 0.749 0.850 0.664 0.947 0.781

Temporally integrated period mean

BENCHMARK MEAN
Data not available
Data not available
MODEL MEAN
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BIAS
Data not available
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BIAS SCORE
Data not available
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RMSE
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RMSE SCORE
Data not available
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BENCHMARK MAX MONTH
Data not available
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MODEL MAX MONTH
Data not available
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DIFFERENCE IN MAX MONTH
Data not available
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SEASONAL CYCLE SCORE
Data not available
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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
v3.LR.historical_0101
Data not available
Data not available
v3alt.LR.highECS001.historical
Data not available
Data not available
v3alt.LR.highECS003.historical
Data not available
Data not available
v3alt.LR.lowECS001.historical
Data not available
Data not available
v3alt.LR.lowECS002.historical
Data not available
Data not available
v3alt.LR.lowECS003.historical
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: SW_IN_F-SW_OUT