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 [-] 139.
CLM-CRUJRA [-] 146. 6.53 23.0 0.538 0.797 0.742 0.951 0.808
CLM-GSWP3 [-] 137. -2.66 18.0 0.474 0.851 0.754 0.958 0.829
CLM-Princeton [-] 136. -4.47 16.0 0.562 0.777 0.751 0.939 0.805
ISBA-CTRIP-CRUJRA [-] 145. 5.17 23.0 0.491 0.797 0.740 0.957 0.808
ISBA-CTRIP-GSWP3 [-] 136. -3.95 18.8 0.462 0.839 0.749 0.955 0.823
ISBA-CTRIP-Princeton [-] 136. -4.87 17.0 0.637 0.780 0.741 0.934 0.799
JSBACH-CRUJRA [-] 148. 8.30 24.5 0.516 0.777 0.750 0.954 0.808
JSBACH-GSWP3 [-] 136. -3.82 18.7 0.501 0.842 0.754 0.955 0.826
JSBACH-Princeton [-] 138. -1.36 19.2 0.525 0.847 0.751 0.952 0.825
Mean-CRUJRA [-] 146. 6.51 22.7 0.487 0.792 0.749 0.956 0.812
Mean-GSWP3 [-] 137. -3.22 18.2 0.502 0.841 0.755 0.954 0.826
Mean-Princeton [-] 137. -3.73 16.4 0.588 0.773 0.751 0.937 0.803

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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SurfaceNetSWRadiation / 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-SW_OUT

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