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 [-] 29.1
CLM-CRUJRA [-] 30.2 1.04 12.4 1.23 0.566 0.513 0.826 0.604
CLM-GSWP3 [-] 27.6 -1.61 12.1 1.19 0.570 0.510 0.834 0.606
CLM-Princeton [-] 27.2 -1.91 11.7 1.19 0.547 0.505 0.828 0.596
ISBA-CTRIP-CRUJRA [-] 31.4 2.28 13.3 1.05 0.553 0.498 0.859 0.602
ISBA-CTRIP-GSWP3 [-] 28.7 -0.441 12.3 1.13 0.570 0.506 0.844 0.607
ISBA-CTRIP-Princeton [-] 28.5 -0.586 12.3 1.12 0.539 0.501 0.847 0.597
JSBACH-CRUJRA [-] 29.4 -0.119 14.2 1.08 0.499 0.464 0.850 0.569
JSBACH-GSWP3 [-] 27.6 -1.95 13.1 1.19 0.513 0.492 0.836 0.583
JSBACH-Princeton [-] 26.8 -2.72 13.5 1.14 0.516 0.490 0.848 0.586
Mean-CRUJRA [-] 30.7 1.50 12.4 1.07 0.551 0.526 0.856 0.614
Mean-GSWP3 [-] 28.3 -0.889 11.9 1.14 0.556 0.528 0.842 0.613
Mean-Princeton [-] 27.9 -1.39 11.5 1.10 0.537 0.520 0.851 0.607

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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SurfaceUpwardSWRadiation / 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: SW_OUT

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