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 [-] 313.
v3.LR.historical_0101 [-] 321. 8.36 21.2 0.00 0.868 0.715 1.00 0.825
v3alt.LR.highECS001.historical [-] 326. 13.3 24.4 0.00 0.795 0.712 1.00 0.805
v3alt.LR.highECS003.historical [-] 326. 13.6 26.5 0.00 0.788 0.698 1.00 0.796
v3alt.LR.lowECS001.historical [-] 318. 4.88 21.4 0.00 0.918 0.696 1.00 0.828
v3alt.LR.lowECS002.historical [-] 299. -13.9 23.2 0.00 0.783 0.706 1.00 0.799
v3alt.LR.lowECS003.historical [-] 306. -6.99 19.6 0.00 0.873 0.720 1.00 0.828
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 [-] 374.
v3.LR.historical_0101 [-] 374. -0.193 21.9 0.542 0.805 0.669 0.957 0.775
v3alt.LR.highECS001.historical [-] 376. 2.05 22.9 0.886 0.774 0.679 0.931 0.766
v3alt.LR.highECS003.historical [-] 379. 5.59 24.0 0.542 0.759 0.674 0.957 0.766
v3alt.LR.lowECS001.historical [-] 372. -2.19 21.1 0.484 0.808 0.687 0.961 0.786
v3alt.LR.lowECS002.historical [-] 357. -17.0 25.0 0.427 0.694 0.668 0.965 0.749
v3alt.LR.lowECS003.historical [-] 362. -12.0 22.4 0.513 0.760 0.670 0.959 0.765
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 [-] 376.
v3.LR.historical_0101 [-] 381. 4.64 21.7 0.420 0.714 0.636 0.967 0.739
v3alt.LR.highECS001.historical [-] 383. 6.91 22.9 0.578 0.690 0.632 0.957 0.728
v3alt.LR.highECS003.historical [-] 385. 9.14 24.1 0.414 0.672 0.628 0.969 0.725
v3alt.LR.lowECS001.historical [-] 380. 3.64 21.1 0.405 0.712 0.645 0.963 0.742
v3alt.LR.lowECS002.historical [-] 365. -11.3 22.6 0.308 0.657 0.626 0.972 0.720
v3alt.LR.lowECS003.historical [-] 369. -6.90 21.2 0.429 0.702 0.633 0.965 0.734
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 [-] 374.
v3.LR.historical_0101 [-] 374. -0.193 21.9 0.542 0.805 0.669 0.957 0.775
v3alt.LR.highECS001.historical [-] 376. 2.05 22.9 0.886 0.774 0.679 0.931 0.766
v3alt.LR.highECS003.historical [-] 379. 5.59 24.0 0.542 0.759 0.674 0.957 0.766
v3alt.LR.lowECS001.historical [-] 372. -2.19 21.1 0.484 0.808 0.687 0.961 0.786
v3alt.LR.lowECS002.historical [-] 357. -17.0 25.0 0.427 0.694 0.668 0.965 0.749
v3alt.LR.lowECS003.historical [-] 362. -12.0 22.4 0.513 0.760 0.670 0.959 0.765

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
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: LW_OUT