Global - Land
ACCESS-ESM1-5
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Period Mean (original grids) [Pg yr-1]
Model Period Mean (intersection) [Pg yr-1]
Benchmark Period Mean (intersection) [Pg yr-1]
Model Period Mean (complement) [Pg yr-1]
Benchmark Period Mean (complement) [Pg yr-1]
Bias [g m-2 d-1]
RMSE [g m-2 d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 95.7
ACCESS-ESM1-5 [-] 91.5 88.9 95.2 2.47 0.423 -0.0829 1.17 1.17 0.371 0.514 0.797 0.928 0.625
BCC-CSM2-MR [-] 112. 106. 95.1 5.73 0.537 0.355 1.29 0.992 0.393 0.455 0.821 0.892 0.603
CanESM5 [-] 142. 129. 95.7 10.2 1.17 1.60 1.09 0.257 0.520 0.810 0.798 0.581
CESM2 [-] 105. 99.4 95.2 5.43 0.505 0.253 1.27 1.07 0.393 0.449 0.830 0.915 0.607
GFDL-ESM4 [-] 99.9 82.1 95.7 17.6 -0.313 1.11 1.27 0.401 0.426 0.720 0.949 0.584
IPSL-CM6A-LR [-] 110. 104. 95.1 5.02 0.575 0.400 1.04 1.11 0.401 0.546 0.772 0.909 0.635
MeanCMIP6 [-] 114. 108. 95.7 6.00 0.490 0.908 0.781 0.447 0.582 0.849 0.951 0.682
MIROC-ESM2L [-] 110. 98.3 95.6 9.31 0.0967 0.264 1.38 1.70 0.346 0.451 0.716 0.889 0.570
NorESM2-LM [-] 102. 93.8 95.7 7.34 0.233 1.27 1.14 0.376 0.445 0.819 0.906 0.598
UKESM1-0-LL [-] 124. 117. 95.0 6.94 0.646 0.751 1.75 1.06 0.264 0.344 0.809 0.750 0.502

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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SPATIAL TAYLOR DIAGRAM
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MODEL COLORS
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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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EcosystemRespiration / FLUXCOM / 1980-2014 / global / MNAME

Benchmark
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ACCESS-ESM1-5
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BCC-CSM2-MR
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CanESM5
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CESM2
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GFDL-ESM4
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IPSL-CM6A-LR
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MeanCMIP6
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MIROC-ESM2L
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NorESM2-LM
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UKESM1-0-LL
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Data Information

  Title:
FLUXCOM (RS+METEO) Global Land Carbon Fluxes using CRUNCEP climate data

  Version:
1

  Institutions:
Department Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Germany

  Source:
Data generated by Artificial Neural Networks and forced with CRUNCEPv6 meteorological data and MODIS (RS+METEO)

  History:
2020-08-25: downloaded source from ftp://ftp.bgc-jena.mpg.de/pub/outgoing/FluxCom/CarbonFluxes_v1_2017/RS+METEO/CRUNCEPv6/raw/monthly/
2020-08-25: converted to netCDF, additionally we apply a mask where |var|<1e-15 for all time.

  References:
Jung, M., M. Reichstein, C.R. Schwalm, C. Huntingford, S. Sitch, A. Ahlstrom, A. Arneth, G. Camps-Valls, P. Ciais, P. Friedlingstein, F. Gans, K. Ichii, A.K. Jain, E. Kato, D. Papale, B. Poulter, B. Raduly, C. Rodenbeck, G. Tramontana, N. Viovy, Y.P. Wang, U. Weber, S. Zaehle and N. Zeng (2017), Compensatory water effects link yearly global land CO2 sink changes to temperature, Nature, 541, 516-520, doi:10.1038/nature20780

Tramontana, G., M. Jung, C.R. Schwalm, K. Ichii, G. Camps-Valls, B. Raduly, M. Reichstein, M.A. Arain, A. Cescatti, G. Kiely, L. Merbold, P. Serrano-Ortiz, S. Sickert, S. Wolf, and D. Papale (2016), Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms, Biogeosciences, 13, 4291-4313, doi:10.5194/bg-13-4291-2016

  Comments:
time_period: 1980-01 through 2013-12
temporal_resolution: monthly
spatial_resolution: 0.5 degree
units: g m-2 day-1

  Convention:
CF-1.8

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