Global - Land
CLM-CRUJRA
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Period Mean (original grids) [degC]
Bias [degC]
RMSE [degC]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Overall Score [1]
Benchmark [-] 10.1
CLM-CRUJRA [-] 10.3 -0.0126 1.66 0.161 0.823 0.849 0.989 0.877
CLM-GSWP3 [-] 10.7 0.392 1.65 0.161 0.820 0.846 0.989 0.875
CLM-Princeton [-] 10.9 0.601 1.67 0.241 0.810 0.849 0.983 0.873
ISBA-CTRIP-CRUJRA [-] 10.4 0.0609 1.68 0.156 0.812 0.856 0.989 0.878
ISBA-CTRIP-GSWP3 [-] 10.3 -0.0552 1.77 0.186 0.807 0.848 0.988 0.872
ISBA-CTRIP-Princeton [-] 10.3 -0.0223 1.76 0.266 0.809 0.848 0.982 0.872
JSBACH-CRUJRA [-] 10.4 0.636 1.68 0.137 0.824 0.869 0.991 0.888
JSBACH-GSWP3 [-] 10.0 0.246 1.60 0.143 0.835 0.862 0.991 0.888
JSBACH-Princeton [-] 10.2 0.436 1.88 0.189 0.825 0.830 0.987 0.868
Mean-CRUJRA [-] 10.5 0.131 1.57 0.167 0.823 0.863 0.988 0.884
Mean-GSWP3 [-] 10.5 0.110 1.63 0.156 0.818 0.852 0.990 0.878
Mean-Princeton [-] 10.7 0.373 1.65 0.263 0.816 0.857 0.982 0.878

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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SurfaceAirTemperature / 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: TA_F

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