Global - Land
bcc-csm1-1
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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 [-] 85.0
bcc-csm1-1 [-] 75.3 -15.1 24.4 0.624 0.251 0.176 0.950 0.388
BCC-CSM2-MR [-] 78.8 -11.6 24.9 0.667 0.281 0.160 0.941 0.385
CanESM2 [-] 78.0 -11.3 24.9 0.565 0.326 0.201 0.944 0.418
CanESM5 [-] 79.5 -9.91 24.1 0.564 0.364 0.181 0.947 0.418
CESM1-BGC [-] 83.1 -5.46 23.9 0.479 0.411 0.137 0.959 0.411
CESM2 [-] 79.7 -9.14 22.5 0.445 0.366 0.186 0.961 0.425
GFDL-ESM2G [-] 75.6 -14.1 24.2 0.342 0.327 0.198 0.970 0.423
GFDL-ESM4 [-] 74.0 -15.0 23.7 0.436 0.276 0.215 0.967 0.418
IPSL-CM5A-LR [-] 77.7 -11.3 27.6 0.709 0.328 0.122 0.947 0.380
IPSL-CM6A-LR [-] 85.5 -3.62 24.5 0.633 0.392 0.167 0.947 0.418
MeanCMIP5 [-] 80.7 -9.87 21.1 0.551 0.353 0.241 0.952 0.447
MeanCMIP6 [-] 80.5 -8.90 20.9 0.453 0.380 0.262 0.965 0.467
MIROC-ESM [-] 89.3 -1.15 28.7 0.547 0.347 0.0743 0.946 0.360
MIROC-ESM2L [-] 85.7 -4.24 25.0 0.615 0.425 0.149 0.942 0.416
MPI-ESM-LR [-] 79.0 -11.6 25.4 0.435 0.308 0.195 0.953 0.412
MPI-ESM1.2-HR [-] 84.8 -4.06 23.0 0.531 0.380 0.207 0.941 0.434
NorESM1-ME [-] 79.8 -9.42 22.9 0.496 0.368 0.178 0.960 0.421
NorESM2-LM [-] 79.9 -9.63 23.6 0.487 0.349 0.164 0.963 0.410
UK-HadGEM2-ES [-] 85.1 -4.06 24.0 0.611 0.415 0.147 0.948 0.414
UKESM1-0-LL [-] 76.8 -12.3 22.9 0.538 0.305 0.240 0.951 0.434

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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SurfaceNetRadiation / FLUXNET2015 / 1991-2015 / global / MNAME

Benchmark
Data not available
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bcc-csm1-1
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BCC-CSM2-MR
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CanESM2
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CanESM5
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CESM1-BGC
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CESM2
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GFDL-ESM2G
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GFDL-ESM4
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IPSL-CM5A-LR
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IPSL-CM6A-LR
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MeanCMIP5
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MeanCMIP6
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MIROC-ESM
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MIROC-ESM2L
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MPI-ESM-LR
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MPI-ESM1.2-HR
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NorESM1-ME
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NorESM2-LM
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UK-HadGEM2-ES
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UKESM1-0-LL
Data not available
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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: NETRAD

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