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 [-] 131.
bcc-csm1-1 [-] 132. -10.2 30.8 0.794 0.258 0.0359 0.928 0.314
BCC-CSM2-MR [-] 138. -4.02 31.2 0.766 0.375 0.0452 0.928 0.348
CanESM2 [-] 147. 7.54 34.7 0.626 0.327 0.0316 0.939 0.332
CanESM5 [-] 145. 4.16 29.2 0.571 0.400 0.0726 0.952 0.374
CESM1-BGC [-] 150. 12.9 34.7 0.487 0.170 0.0459 0.953 0.304
CESM2 [-] 145. 4.27 28.7 0.530 0.354 0.0840 0.944 0.366
GFDL-ESM2G [-] 135. -6.95 27.3 0.460 0.390 0.0955 0.953 0.384
GFDL-ESM4 [-] 131. -11.6 28.2 0.571 0.290 0.0825 0.949 0.351
IPSL-CM5A-LR [-] 146. 4.81 37.5 0.836 0.201 0.0352 0.932 0.301
IPSL-CM6A-LR [-] 143. 3.87 34.5 0.669 0.342 0.0268 0.945 0.335
MeanCMIP5 [-] 143. 0.873 25.6 0.648 0.394 0.145 0.943 0.407
MeanCMIP6 [-] 141. 0.476 23.4 0.543 0.470 0.173 0.953 0.442
MIROC-ESM [-] 147. 6.97 36.6 0.543 0.330 0.0285 0.943 0.333
MIROC-ESM2L [-] 144. 3.05 27.8 0.543 0.392 0.0935 0.953 0.383
MPI-ESM-LR [-] 136. -5.98 28.3 0.571 0.308 0.0557 0.943 0.340
MPI-ESM1.2-HR [-] 143. 2.67 27.3 0.641 0.378 0.0853 0.931 0.370
NorESM1-ME [-] 141. 1.74 29.0 0.627 0.294 0.0622 0.947 0.341
NorESM2-LM [-] 144. 3.37 29.3 0.683 0.348 0.0705 0.937 0.356
UK-HadGEM2-ES [-] 154. 11.6 35.5 0.684 0.236 0.0350 0.938 0.311
UKESM1-0-LL [-] 140. -1.61 27.0 0.613 0.441 0.0802 0.946 0.387

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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SurfaceNetSWRadiation / 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
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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
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MIROC-ESM
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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: SW_IN_F-SW_OUT

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