Global - Land
CLM-CRUJRA
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Period Mean (original grids) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Overall Score [1]
Benchmark [-] 2.15
CLM-CRUJRA [-] 2.18 0.0389 1.28 1.08 0.748 0.509 0.842 0.652
CLM-GSWP3 [-] 2.26 0.118 1.24 1.30 0.745 0.519 0.806 0.647
CLM-Princeton [-] 2.15 0.00675 1.30 1.37 0.747 0.508 0.800 0.641
ISBA-CTRIP-CRUJRA [-] 2.25 0.0880 1.29 1.18 0.725 0.518 0.834 0.648
ISBA-CTRIP-GSWP3 [-] 2.36 0.196 1.41 1.24 0.714 0.488 0.807 0.624
ISBA-CTRIP-Princeton [-] 2.26 0.0904 1.40 1.24 0.712 0.493 0.835 0.634
JSBACH-CRUJRA [-] 2.20 0.0979 1.28 1.35 0.734 0.495 0.789 0.628
JSBACH-GSWP3 [-] 2.33 0.227 1.27 1.45 0.719 0.506 0.746 0.619
JSBACH-Princeton [-] 2.18 0.0753 1.42 1.48 0.731 0.465 0.791 0.613
Mean-CRUJRA [-] 2.20 0.0399 1.25 1.03 0.738 0.524 0.847 0.658
Mean-GSWP3 [-] 2.30 0.137 1.26 1.27 0.734 0.520 0.800 0.644
Mean-Princeton [-] 2.19 0.0400 1.29 1.24 0.730 0.511 0.827 0.645

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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Precipitation / 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: P_F

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