Global - Land
bcc-csm1-1
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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 [-] 8.05
bcc-csm1-1 [-] 10.1 0.0268 3.75 0.343 0.397 0.0922 0.974 0.389
BCC-CSM2-MR [-] 9.97 -0.388 3.72 0.327 0.401 0.0888 0.976 0.389
CanESM2 [-] 12.2 2.52 4.73 0.366 0.244 0.0670 0.971 0.337
CanESM5 [-] 11.0 0.964 3.98 0.351 0.379 0.113 0.974 0.395
CESM1-BGC [-] 11.0 1.02 3.61 0.431 0.408 0.153 0.963 0.419
CESM2 [-] 11.9 1.80 3.91 0.463 0.274 0.146 0.965 0.383
GFDL-ESM2G [-] 9.89 -0.435 3.62 0.327 0.450 0.0833 0.975 0.398
GFDL-ESM4 [-] 9.43 -0.845 3.42 0.415 0.417 0.103 0.971 0.398
IPSL-CM5A-LR [-] 9.13 -0.877 3.68 0.415 0.424 0.111 0.966 0.403
IPSL-CM6A-LR [-] 9.81 -0.308 4.09 0.503 0.466 0.0873 0.964 0.401
MeanCMIP5 [-] 10.6 0.522 2.89 0.396 0.493 0.280 0.972 0.506
MeanCMIP6 [-] 10.8 0.686 2.90 0.336 0.502 0.272 0.977 0.505
MIROC-ESM [-] 12.0 2.31 4.16 0.327 0.212 0.150 0.977 0.372
MIROC-ESM2L [-] 12.2 2.23 4.44 0.327 0.279 0.0927 0.975 0.360
MPI-ESM-LR [-] 10.7 0.559 3.52 0.375 0.455 0.138 0.973 0.426
MPI-ESM1.2-HR [-] 10.3 -0.00521 3.35 0.398 0.456 0.108 0.968 0.410
NorESM1-ME [-] 9.85 -0.228 3.60 0.374 0.465 0.118 0.969 0.418
NorESM2-LM [-] 11.9 1.85 3.85 0.527 0.294 0.150 0.963 0.389
UK-HadGEM2-ES [-] 10.6 0.260 4.08 0.410 0.446 0.0996 0.972 0.404
UKESM1-0-LL [-] 9.53 -0.573 3.86 0.367 0.431 0.0981 0.972 0.400

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
Data not available
REGIONAL MEAN
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ANNUAL CYCLE
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MONTHLY ANOMALY
Data not available
ANNUAL CYCLE
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SurfaceAirTemperature / FLUXNET2015 / 1991-2015 / global / MNAME

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

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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