Global - Land
CLM-CRUJRA
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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 [-] 3.36
CLM-CRUJRA [-] 3.11 -0.234 2.59 0.865 0.625 0.462 0.896 0.611
CLM-GSWP3 [-] 2.78 -0.563 2.62 1.01 0.575 0.464 0.884 0.597
CLM-Princeton [-] 3.37 0.0330 2.70 0.969 0.632 0.447 0.879 0.602
ISBA-CTRIP-CRUJRA [-] 2.60 -0.754 2.50 1.03 0.595 0.465 0.873 0.600
ISBA-CTRIP-GSWP3 [-] 2.49 -0.865 2.57 1.13 0.564 0.457 0.847 0.581
ISBA-CTRIP-Princeton [-] 3.10 -0.275 2.56 1.05 0.619 0.448 0.854 0.592
JSBACH-CRUJRA [-] 3.05 -0.282 2.81 0.937 0.607 0.418 0.906 0.587
JSBACH-GSWP3 [-] 3.17 -0.159 2.55 0.795 0.644 0.446 0.891 0.607
JSBACH-Princeton [-] 3.10 -0.235 2.75 0.966 0.631 0.424 0.882 0.590
Mean-CRUJRA [-] 2.88 -0.466 2.36 0.903 0.622 0.484 0.894 0.621
Mean-GSWP3 [-] 2.77 -0.579 2.34 0.939 0.612 0.485 0.882 0.616
Mean-Princeton [-] 3.16 -0.197 2.42 0.900 0.646 0.469 0.877 0.615

Temporally integrated period mean click to collapse contents

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 click to collapse contents

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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GrossPrimaryProductivity / FLUXNET2015 / 1991-2015 / global / MNAME

Benchmark
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CLM-CRUJRA
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CLM-GSWP3
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CLM-Princeton
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ISBA-CTRIP-CRUJRA
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ISBA-CTRIP-GSWP3
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ISBA-CTRIP-Princeton
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JSBACH-CRUJRA
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JSBACH-GSWP3
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JSBACH-Princeton
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Mean-CRUJRA
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Mean-GSWP3
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Mean-Princeton
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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

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