Global - Land
bcc-csm1-1
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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 [-] 2.18
bcc-csm1-1 [-] 2.14 -0.0111 2.10 2.08 0.374 0.00943 0.657 0.263
BCC-CSM2-MR [-] 2.20 0.0441 2.12 1.85 0.367 0.0123 0.708 0.275
CanESM2 [-] 1.79 -0.301 2.09 1.86 0.302 0.0204 0.700 0.261
CanESM5 [-] 2.18 0.0570 2.22 1.51 0.295 0.0144 0.773 0.274
CESM1-BGC [-] 2.56 0.330 2.10 1.74 0.344 0.0169 0.732 0.277
CESM2 [-] 2.28 0.0635 2.07 1.85 0.387 0.0123 0.713 0.281
GFDL-ESM2G [-] 2.43 0.275 2.10 1.71 0.343 0.0107 0.712 0.269
GFDL-ESM4 [-] 2.59 0.517 2.19 1.41 0.272 0.0121 0.777 0.268
IPSL-CM5A-LR [-] 2.14 0.144 2.20 1.99 0.248 0.0125 0.674 0.237
IPSL-CM6A-LR [-] 2.80 0.642 2.51 1.56 0.249 0.0171 0.751 0.258
MeanCMIP5 [-] 2.29 0.164 1.72 1.70 0.360 0.0707 0.736 0.310
MeanCMIP6 [-] 2.38 0.252 1.73 1.66 0.325 0.0802 0.725 0.303
MIROC-ESM [-] 2.57 0.403 2.12 1.75 0.295 0.00833 0.710 0.255
MIROC-ESM2L [-] 2.63 0.483 2.12 2.00 0.307 0.0110 0.664 0.248
MPI-ESM-LR [-] 2.45 0.309 2.30 2.01 0.231 0.00583 0.643 0.221
MPI-ESM1.2-HR [-] 2.32 0.346 2.28 1.58 0.205 0.00602 0.741 0.240
NorESM1-ME [-] 2.44 0.210 2.06 1.91 0.373 0.0160 0.704 0.277
NorESM2-LM [-] 2.18 -0.0580 2.03 1.89 0.357 0.0237 0.686 0.272
UK-HadGEM2-ES [-] 2.23 0.128 2.14 1.65 0.387 0.0111 0.729 0.285
UKESM1-0-LL [-] 2.24 0.136 2.19 2.03 0.345 0.00715 0.668 0.257

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
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
Data not available
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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
Data not available
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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: P_F

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