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 [-] 40.4
CLM-CRUJRA [-] 40.5 0.540 24.6 0.760 0.659 0.447 0.876 0.607
CLM-GSWP3 [-] 39.5 -0.406 25.1 0.731 0.661 0.438 0.897 0.609
CLM-Princeton [-] 37.0 -3.20 24.0 0.747 0.637 0.450 0.877 0.603
ISBA-CTRIP-CRUJRA [-] 45.3 5.19 27.4 0.776 0.607 0.415 0.892 0.582
ISBA-CTRIP-GSWP3 [-] 44.5 4.36 28.4 0.811 0.612 0.392 0.876 0.568
ISBA-CTRIP-Princeton [-] 40.5 -0.0572 25.8 0.836 0.620 0.420 0.867 0.582
JSBACH-CRUJRA [-] 54.7 14.9 36.0 0.874 0.502 0.370 0.895 0.535
JSBACH-GSWP3 [-] 54.5 14.7 37.2 0.766 0.506 0.345 0.895 0.523
JSBACH-Princeton [-] 53.4 13.6 34.6 0.790 0.516 0.383 0.897 0.545
Mean-CRUJRA [-] 46.1 6.02 26.1 0.760 0.621 0.441 0.908 0.603
Mean-GSWP3 [-] 45.2 5.14 27.1 0.665 0.625 0.417 0.913 0.593
Mean-Princeton [-] 42.9 2.53 24.4 0.767 0.648 0.448 0.880 0.606

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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LatentHeat / 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: LE_F_MDS

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