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 [-] 312.
CLM-CRUJRA [-] 305. -7.07 14.1 0.356 0.725 0.767 0.964 0.806
CLM-GSWP3 [-] 311. -0.497 16.0 0.431 0.741 0.709 0.955 0.779
CLM-Princeton [-] 310. -1.04 13.9 0.381 0.730 0.754 0.963 0.800
ISBA-CTRIP-CRUJRA [-] 305. -7.63 14.4 0.350 0.716 0.777 0.964 0.808
ISBA-CTRIP-GSWP3 [-] 312. -0.516 16.2 0.444 0.738 0.709 0.954 0.777
ISBA-CTRIP-Princeton [-] 310. -1.90 14.4 0.366 0.718 0.753 0.964 0.797
JSBACH-CRUJRA [-] 303. -6.11 13.3 0.285 0.743 0.789 0.974 0.824
JSBACH-GSWP3 [-] 309. -0.135 16.0 0.386 0.751 0.721 0.963 0.789
JSBACH-Princeton [-] 308. -1.32 14.9 0.300 0.755 0.741 0.976 0.803
Mean-CRUJRA [-] 304. -7.82 14.1 0.346 0.722 0.776 0.964 0.810
Mean-GSWP3 [-] 312. -0.695 16.3 0.431 0.736 0.712 0.956 0.779
Mean-Princeton [-] 310. -1.55 14.3 0.352 0.719 0.756 0.966 0.799

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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SurfaceDownwardLWRadiation / 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: LW_IN_F

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