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 [-] 23.0
v3.LR.historical_0101 [-] 32.9 9.90 21.1 0.127 0.655 0.466 0.995 0.646
v3alt.LR.highECS001.historical [-] 34.6 11.6 22.1 0.0635 0.628 0.467 0.998 0.640
v3alt.LR.highECS003.historical [-] 35.0 12.0 22.7 0.127 0.625 0.459 0.995 0.635
v3alt.LR.lowECS001.historical [-] 31.1 8.10 20.9 0.127 0.683 0.470 0.995 0.655
v3alt.LR.lowECS002.historical [-] 28.0 4.98 18.4 0.127 0.730 0.497 0.995 0.680
v3alt.LR.lowECS003.historical [-] 28.5 5.50 18.2 0.0635 0.724 0.502 0.998 0.681
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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 [-] 65.5
v3.LR.historical_0101 [-] 147. 81.1 106. 4.58 0.0358 0.0524 0.148 0.0723
v3alt.LR.highECS001.historical [-] 140. 74.8 98.1 5.57 0.0457 0.0504 0.0293 0.0439
v3alt.LR.highECS003.historical [-] 143. 77.7 103. 3.57 0.0409 0.0494 0.361 0.125
v3alt.LR.lowECS001.historical [-] 140. 74.3 97.7 3.57 0.0465 0.0496 0.361 0.127
v3alt.LR.lowECS002.historical [-] 144. 78.4 101. 3.57 0.0397 0.0555 0.361 0.128
v3alt.LR.lowECS003.historical [-] 144. 78.0 99.2 3.57 0.0403 0.0596 0.361 0.130
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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 [-] 40.9
v3.LR.historical_0101 [-] 56.5 15.5 35.6 0.715 0.526 0.421 0.882 0.563
v3alt.LR.highECS001.historical [-] 59.6 18.7 36.8 0.790 0.503 0.423 0.870 0.555
v3alt.LR.highECS003.historical [-] 57.9 17.0 36.7 0.684 0.512 0.419 0.892 0.560
v3alt.LR.lowECS001.historical [-] 54.3 13.4 34.1 0.700 0.558 0.424 0.890 0.574
v3alt.LR.lowECS002.historical [-] 50.0 9.05 32.4 0.669 0.593 0.422 0.889 0.581
v3alt.LR.lowECS003.historical [-] 50.2 9.33 32.0 0.715 0.590 0.431 0.883 0.584
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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 [-] 40.1
v3.LR.historical_0101 [-] 53.5 13.4 31.2 0.912 0.557 0.411 0.867 0.561
v3alt.LR.highECS001.historical [-] 55.7 15.6 32.1 0.987 0.546 0.412 0.857 0.556
v3alt.LR.highECS003.historical [-] 54.8 14.6 32.1 0.957 0.548 0.407 0.862 0.556
v3alt.LR.lowECS001.historical [-] 51.5 11.3 29.8 1.04 0.596 0.412 0.845 0.566
v3alt.LR.lowECS002.historical [-] 48.2 8.11 28.7 0.997 0.611 0.413 0.845 0.571
v3alt.LR.lowECS003.historical [-] 48.8 8.68 28.9 1.01 0.610 0.418 0.838 0.571
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 [-] 40.2
v3.LR.historical_0101 [-] 53.7 13.5 33.4 0.596 0.551 0.439 0.919 0.587
v3alt.LR.highECS001.historical [-] 57.1 17.0 34.9 0.643 0.526 0.442 0.912 0.580
v3alt.LR.highECS003.historical [-] 55.2 15.1 34.6 0.596 0.535 0.437 0.919 0.582
v3alt.LR.lowECS001.historical [-] 51.7 11.5 32.1 0.611 0.583 0.443 0.917 0.597
v3alt.LR.lowECS002.historical [-] 47.1 6.91 30.3 0.580 0.621 0.440 0.915 0.604
v3alt.LR.lowECS003.historical [-] 47.4 7.22 29.9 0.628 0.618 0.450 0.910 0.607

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
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
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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: LE_F_MDS