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 [-] 166.
CLM-CRUJRA [-] 178. 10.7 24.3 0.426 0.795 0.785 0.967 0.833
CLM-GSWP3 [-] 166. -0.841 18.3 0.336 0.889 0.792 0.973 0.861
CLM-Princeton [-] 165. -1.60 16.8 0.352 0.856 0.811 0.971 0.862
ISBA-CTRIP-CRUJRA [-] 178. 10.5 24.6 0.404 0.792 0.783 0.969 0.832
ISBA-CTRIP-GSWP3 [-] 167. -0.517 19.1 0.374 0.878 0.789 0.968 0.856
ISBA-CTRIP-Princeton [-] 167. -0.214 17.1 0.377 0.848 0.811 0.970 0.860
JSBACH-CRUJRA [-] 178. 12.4 25.7 0.438 0.781 0.783 0.965 0.828
JSBACH-GSWP3 [-] 165. -1.15 18.3 0.393 0.886 0.794 0.968 0.860
JSBACH-Princeton [-] 166. 0.477 17.8 0.387 0.883 0.797 0.970 0.862
Mean-CRUJRA [-] 179. 11.2 24.8 0.416 0.789 0.784 0.967 0.831
Mean-GSWP3 [-] 167. -0.240 18.8 0.346 0.880 0.790 0.972 0.858
Mean-Princeton [-] 167. 0.0967 16.8 0.374 0.849 0.812 0.969 0.860

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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SurfaceDownwardSWRadiation / 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_IN_F

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