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 [-] 44.5
BCC-CSM2-MR [-] 95.4 50.9 57.0 3.53 0.132 0.358 0.394 0.311
BGCv2LND.GSW [-] 81.4 36.9 45.9 2.01 0.208 0.331 0.679 0.387
BGCv2LNDATM [-] 74.2 29.7 41.7 2.02 0.256 0.326 0.746 0.414
CanESM5 [-] 99.0 54.5 58.8 2.52 0.0860 0.349 0.550 0.333
MeanCMIP6 [-] 81.4 36.9 43.7 3.04 0.211 0.378 0.500 0.367
MIROC-ES2L [-] 115. 70.4 74.0 2.55 0.0493 0.347 0.542 0.321
UKESM1-0-LL [-] 73.3 28.8 47.4 4.56 0.360 0.257 0.169 0.261
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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 [-] 97.2
BCC-CSM2-MR [-] 111. 14.1 22.2 1.02 0.135 0.0834 0.933 0.309
BGCv2LND.GSW [-] 115. 17.9 21.0 0.00 0.0787 0.228 1.00 0.384
BGCv2LNDATM [-] 120. 23.1 27.0 1.02 0.0375 0.223 0.933 0.354
CanESM5 [-] 124. 26.4 29.6 1.02 0.0234 0.192 0.933 0.335
MeanCMIP6 [-] 96.6 -0.631 7.47 1.02 0.914 0.347 0.933 0.635
MIROC-ES2L [-] 126. 28.7 30.0 1.02 0.0168 0.220 0.933 0.347
UKESM1-0-LL [-] 110. 12.5 15.9 1.02 0.168 0.263 0.933 0.407
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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
BCC-CSM2-MR [-] 49.8 9.68 30.9 1.33 0.582 0.387 0.796 0.538
BGCv2LND.GSW [-] 40.7 0.486 25.6 0.850 0.638 0.430 0.872 0.593
BGCv2LNDATM [-] 48.7 8.51 28.6 0.895 0.617 0.404 0.885 0.577
CanESM5 [-] 51.1 11.0 34.5 1.15 0.551 0.353 0.820 0.519
MeanCMIP6 [-] 41.6 1.51 24.1 0.982 0.655 0.458 0.861 0.608
MIROC-ES2L [-] 63.1 23.0 38.5 1.07 0.408 0.382 0.848 0.505
UKESM1-0-LL [-] 48.6 8.51 31.0 1.01 0.583 0.385 0.840 0.549
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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 [-] 25.7
BCC-CSM2-MR [-] 34.8 9.17 23.2 0.899 0.657 0.458 0.874 0.612
BGCv2LND.GSW [-] 26.0 0.586 18.0 0.334 0.742 0.517 0.981 0.689
BGCv2LNDATM [-] 34.4 9.01 20.9 0.540 0.691 0.491 0.964 0.659
CanESM5 [-] 36.2 10.5 24.0 0.759 0.663 0.444 0.943 0.623
MeanCMIP6 [-] 26.9 1.28 16.8 0.499 0.771 0.536 0.966 0.702
MIROC-ES2L [-] 46.3 20.6 30.9 0.738 0.479 0.430 0.953 0.573
UKESM1-0-LL [-] 35.4 9.76 23.2 0.620 0.677 0.463 0.951 0.639
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 [-] 97.5
BCC-CSM2-MR [-] 112. 14.5 27.4 4.42 0.300 0.152 0.189 0.198
BGCv2LND.GSW [-] 108. 10.2 23.8 1.71 0.556 0.188 0.796 0.432
BGCv2LNDATM [-] 109. 11.6 18.9 0.683 0.383 0.320 0.921 0.486
CanESM5 [-] 63.0 -34.5 60.8 2.73 0.0629 0.0205 0.579 0.171
MeanCMIP6 [-] 88.2 -9.29 21.8 2.04 0.478 0.222 0.683 0.401
MIROC-ES2L [-] 143. 45.1 52.7 4.76 0.0318 0.190 0.119 0.133
UKESM1-0-LL [-] 106. 8.28 28.3 5.42 0.517 0.117 0.0445 0.199
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 [-] 37.1
BCC-CSM2-MR [-] 47.1 9.96 30.6 1.16 0.628 0.422 0.821 0.573
BGCv2LND.GSW [-] 36.4 -0.786 23.7 0.674 0.687 0.485 0.904 0.640
BGCv2LNDATM [-] 46.1 8.91 28.0 0.821 0.658 0.441 0.891 0.608
CanESM5 [-] 47.2 10.1 32.4 1.10 0.611 0.399 0.826 0.559
MeanCMIP6 [-] 37.3 0.211 23.4 0.887 0.689 0.494 0.882 0.640
MIROC-ES2L [-] 60.2 23.1 37.7 0.893 0.454 0.414 0.904 0.547
UKESM1-0-LL [-] 45.7 8.63 29.8 0.831 0.626 0.425 0.890 0.592

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
BCC-CSM2-MR
Data not available
Data not available
BGCv2LND.GSW
Data not available
Data not available
BGCv2LNDATM
Data not available
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CanESM5
Data not available
Data not available
MeanCMIP6
Data not available
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MIROC-ES2L
Data not available
Data not available
UKESM1-0-LL
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