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 [-] 409.
CLM5_GSWP3V1 [-] 409. -0.262 8.29 5.07 0.504 0.439 0.122 0.376
Control [-] 423. 14.4 19.6 5.07 0.228 0.213 0.0674 0.180
Randomized [-] 423. 13.9 21.4 5.57 0.244 0.154 0.0316 0.146
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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 [-] 377.
CLM5_GSWP3V1 [-] 385. 8.30 15.3 1.02 0.790 0.708 0.932 0.784
Control [-] 372. -4.02 7.94 1.03 0.892 0.782 0.930 0.846
Randomized [-] 373. -3.14 12.6 1.03 0.914 0.698 0.930 0.810
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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 [-] 358.
CLM5_GSWP3V1 [-] 353. -4.87 11.9 1.03 0.849 0.701 0.930 0.796
Control [-] 355. -3.21 6.35 0.00 0.898 0.816 1.00 0.882
Randomized [-] 355. -2.68 9.58 1.03 0.914 0.740 0.930 0.831
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 [-] 247.
CLM5_GSWP3V1 [-] 233. -13.9 23.1 0.00 0.767 0.713 1.00 0.798
Control [-] 211. -35.3 35.7 0.00 0.520 0.752 1.00 0.756
Randomized [-] 211. -35.3 40.8 0.00 0.520 0.700 1.00 0.730
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 [-] 419.
CLM5_GSWP3V1 [-] 416. -2.84 6.09 6.05 0.522 0.275 7.41e-05 0.268
Control [-] 425. 6.39 9.66 6.05 0.232 0.246 7.41e-05 0.181
Randomized [-] 425. 6.37 10.1 6.05 0.233 0.147 7.41e-05 0.132
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 [-] 282.
CLM5_GSWP3V1 [-] 281. -0.966 16.3 0.00 0.789 0.735 1.00 0.815
Control [-] 266. -16.5 20.6 0.00 0.664 0.691 1.00 0.761
Randomized [-] 266. -16.2 27.4 0.00 0.667 0.593 1.00 0.713
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 [-] 279.
CLM5_GSWP3V1 [-] 293. 14.2 19.2 0.517 0.787 0.818 0.965 0.847
Control [-] 279. 0.404 16.4 0.517 0.855 0.784 0.965 0.847
Randomized [-] 280. 0.701 19.9 0.517 0.853 0.727 0.965 0.818
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 [-] 359.
CLM5_GSWP3V1 [-] 354. -4.91 16.2 0.727 0.660 0.667 0.948 0.735
Control [-] 352. -6.04 16.0 0.543 0.630 0.732 0.960 0.763
Randomized [-] 352. -6.26 20.9 0.948 0.623 0.604 0.915 0.686
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 [-] 311.
CLM5_GSWP3V1 [-] 309. -2.08 17.0 0.204 0.716 0.669 0.986 0.760
Control [-] 295. -16.3 22.9 0.188 0.548 0.648 0.987 0.708
Randomized [-] 296. -15.7 26.5 0.266 0.557 0.555 0.982 0.662
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 [-] 312.
CLM5_GSWP3V1 [-] 311. -0.497 16.0 0.431 0.741 0.709 0.955 0.779
Control [-] 302. -9.80 19.3 0.346 0.640 0.700 0.965 0.751
Randomized [-] 303. -9.38 23.3 0.471 0.643 0.602 0.955 0.700
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 [-] 249.
CLM5_GSWP3V1 [-] 245. -3.92 17.2 0.00 0.928 0.765 1.00 0.864
Control [-] 222. -27.5 28.9 0.00 0.591 0.795 1.00 0.795
Randomized [-] 223. -26.8 30.0 0.00 0.599 0.731 1.00 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 [-] 409.
CLM5_GSWP3V1 [-] 417. 8.41 8.64 1.02 0.297 0.597 0.933 0.606
Control [-] 425. 16.5 17.4 1.02 0.0931 0.700 0.933 0.606
Randomized [-] 424. 15.8 16.2 1.02 0.103 0.479 0.933 0.498
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 [-] 312.
CLM5_GSWP3V1 [-] 310. -2.11 14.1 0.111 0.832 0.810 0.993 0.861
Control [-] 299. -13.3 18.9 0.167 0.740 0.788 0.989 0.826
Randomized [-] 299. -13.2 23.2 0.139 0.743 0.697 0.991 0.782
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 [-] 266.
CLM5_GSWP3V1 [-] 268. 2.41 10.2 0.00 0.930 0.825 1.00 0.895
Control [-] 250. -16.3 19.1 0.00 0.723 0.797 1.00 0.829
Randomized [-] 250. -15.7 25.7 0.00 0.731 0.669 1.00 0.767
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 [-] 302.
CLM5_GSWP3V1 [-] 301. -0.812 18.8 0.332 0.654 0.671 0.978 0.743
Control [-] 303. 1.87 16.5 0.258 0.642 0.648 0.983 0.730
Randomized [-] 304. 2.77 19.9 0.627 0.645 0.551 0.958 0.676
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 [-] 415.
CLM5_GSWP3V1 [-] 415. -0.290 6.68 5.04 0.610 0.353 0.169 0.371
Control [-] 423. 7.89 10.9 1.35 0.455 0.417 0.750 0.510
Randomized [-] 423. 7.89 11.3 1.35 0.445 0.299 0.750 0.448
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 [-] 365.
CLM5_GSWP3V1 [-] 371. 6.53 10.9 0.983 0.793 0.735 0.937 0.800
Control [-] 369. 4.15 7.44 0.983 0.863 0.821 0.937 0.861
Randomized [-] 370. 5.21 18.0 0.983 0.831 0.545 0.937 0.714
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 [-] 318.
CLM5_GSWP3V1 [-] 330. 12.0 15.9 0.983 0.718 0.685 0.937 0.756
Control [-] 323. 4.21 7.54 0.983 0.890 0.818 0.937 0.866
Randomized [-] 323. 4.96 14.0 0.983 0.872 0.692 0.937 0.798

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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CLM5_GSWP3V1
Data not available
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Control
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Randomized
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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_IN_F