Mean State

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Period Mean (original grids) [g m-2 d-1]
Bias [g m-2 d-1]
RMSE [g m-2 d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Overall Score [1]
Benchmark [-] 3.34
v1-shallowest [-] 1.90 -1.45 2.93 1.42 0.512 0.437 0.854 0.560
v2 [-] 1.90 -1.45 2.93 1.47 0.513 0.438 0.847 0.559
v3-default [-] 1.90 -1.45 2.93 1.47 0.513 0.439 0.846 0.559
v4 [-] 1.95 -1.40 2.92 1.47 0.517 0.437 0.850 0.560
v5 [-] 1.99 -1.36 2.90 1.44 0.524 0.439 0.852 0.563
v6-measured [-] 2.02 -1.33 2.87 1.47 0.529 0.440 0.847 0.564
v7 [-] 2.09 -1.26 2.82 1.44 0.541 0.443 0.850 0.569
v8-steepest [-] 2.11 -1.24 2.82 1.43 0.542 0.441 0.852 0.569

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
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REGIONAL MEAN
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ANNUAL CYCLE
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MONTHLY ANOMALY
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ANNUAL CYCLE
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All Models

Benchmark
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v1-shallowest
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v2
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v3-default
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v4
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v5
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v6-measured
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v7
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v8-steepest
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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: GPP_DT_VUT_REF