Global - Land
CLM-CRUJRA
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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 [-] 87.4
CLM-CRUJRA [-] 78.0 -9.05 23.5 0.540 0.743 0.688 0.952 0.768
CLM-GSWP3 [-] 71.9 -15.2 24.1 0.576 0.725 0.701 0.947 0.769
CLM-Princeton [-] 69.9 -16.8 23.3 0.490 0.662 0.708 0.952 0.757
ISBA-CTRIP-CRUJRA [-] 84.9 -2.47 22.1 0.557 0.769 0.699 0.952 0.780
ISBA-CTRIP-GSWP3 [-] 80.8 -6.59 20.7 0.629 0.781 0.711 0.942 0.786
ISBA-CTRIP-Princeton [-] 78.3 -8.89 19.9 0.543 0.713 0.715 0.943 0.772
JSBACH-CRUJRA [-] 81.6 -5.10 23.2 0.534 0.756 0.699 0.956 0.778
JSBACH-GSWP3 [-] 79.4 -7.24 20.6 0.540 0.781 0.709 0.952 0.788
JSBACH-Princeton [-] 77.0 -9.64 20.9 0.499 0.762 0.724 0.957 0.792
Mean-CRUJRA [-] 81.6 -5.10 23.2 0.534 0.756 0.699 0.956 0.778
Mean-GSWP3 [-] 79.4 -7.24 20.6 0.540 0.781 0.709 0.952 0.788
Mean-Princeton [-] 77.0 -9.64 20.9 0.499 0.762 0.724 0.957 0.792

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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SurfaceNetRadiation / 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: NETRAD

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