Mean State

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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 [-] 114.
ACCESS-ESM1-5 [-] 123. 117. 113. 5.78 0.527 0.0824 1.56 1.36 0.443 0.481 0.785 0.943 0.626
CESM2 [-] 129. 112. 113. 15.9 0.643 -0.0273 1.63 1.33 0.460 0.463 0.772 0.934 0.618
ENSEMBLE-CMIP6 [-] 144. 120. 114. 22.1 0.138 1.15 0.979 0.577 0.522 0.810 0.961 0.678
NorESM2-LM [-] 138. 111. 114. 22.7 -0.0537 1.63 1.32 0.446 0.469 0.787 0.939 0.622
UKESM1-0-LL [-] 155. 131. 113. 22.1 0.825 0.422 1.79 1.16 0.433 0.417 0.790 0.922 0.596

Temporally integrated period mean

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

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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Relationships

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Evapotranspiration|GLEAMv3.3a Hellinger Distance [1]
Precipitation|GPCPv2.3 Hellinger Distance [1]
SurfaceDownwardSWRadiation|CERESed4.2 Hellinger Distance [1]
SurfaceNetSWRadiation|CERESed4.2 Hellinger Distance [1]
SurfaceAirTemperature|CRU4.02 Hellinger Distance [1]
Evapotranspiration|GLEAMv3.3a Score [1]
Precipitation|GPCPv2.3 Score [1]
SurfaceDownwardSWRadiation|CERESed4.2 Score [1]
SurfaceNetSWRadiation|CERESed4.2 Score [1]
SurfaceAirTemperature|CRU4.02 Score [1]
Overall Score [1]
ACCESS-ESM1-5 [-] 0.451 0.573 0.526 0.668 0.697 0.749 0.802 0.614 0.622 0.769 0.711
CESM2 [-] 0.508 0.575 0.527 0.649 0.663 0.782 0.859 0.747 0.736 0.772 0.779
ENSEMBLE-CMIP6 [-] 0.574 0.658 0.578 0.683 0.742 0.807 0.910 0.711 0.714 0.830 0.794
NorESM2-LM [-] 0.593 0.522 0.641 0.669 0.903 0.748 0.747 0.801 0.800
UKESM1-0-LL [-] 0.523 0.592 0.532 0.610 0.586 0.928 0.810 0.606 0.704 0.753 0.760

Evapotranspiration/GLEAMv3.3a

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Precipitation/GPCPv2.3

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SurfaceDownwardSWRadiation/CERESed4.2

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SurfaceNetSWRadiation/CERESed4.2

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SurfaceAirTemperature/CRU4.02

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All Models

Benchmark
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ACCESS-ESM1-5
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CESM2
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ENSEMBLE-CMIP6
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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) ftp://ftp.bgc-jena.mpg.de/pub/outgoing/FluxCom/CarbonFluxes_v1_2017/RS+METEO/CRUNCEPv6/raw/monthly/ ftp://ftp.bgc-jena.mpg.de/pub/outgoing/FluxCom/EnergyFluxes/RS_METEO/member/CRUNCEP_v8/monthly/

  History:
2024-01-18: downloaded ['GPP.ANN.CRUNCEPv6.monthly.1980.nc', 'GPP.ANN.CRUNCEPv6.monthly.1981.nc', 'GPP.ANN.CRUNCEPv6.monthly.1982.nc', 'GPP.ANN.CRUNCEPv6.monthly.1983.nc', 'GPP.ANN.CRUNCEPv6.monthly.1984.nc', 'GPP.ANN.CRUNCEPv6.monthly.1985.nc', 'GPP.ANN.CRUNCEPv6.monthly.1986.nc', 'GPP.ANN.CRUNCEPv6.monthly.1987.nc', 'GPP.ANN.CRUNCEPv6.monthly.1988.nc', 'GPP.ANN.CRUNCEPv6.monthly.1989.nc', 'GPP.ANN.CRUNCEPv6.monthly.1990.nc', 'GPP.ANN.CRUNCEPv6.monthly.1991.nc', 'GPP.ANN.CRUNCEPv6.monthly.1992.nc', 'GPP.ANN.CRUNCEPv6.monthly.1993.nc', 'GPP.ANN.CRUNCEPv6.monthly.1994.nc', 'GPP.ANN.CRUNCEPv6.monthly.1995.nc', 'GPP.ANN.CRUNCEPv6.monthly.1996.nc', 'GPP.ANN.CRUNCEPv6.monthly.1997.nc', 'GPP.ANN.CRUNCEPv6.monthly.1998.nc', 'GPP.ANN.CRUNCEPv6.monthly.1999.nc', 'GPP.ANN.CRUNCEPv6.monthly.2000.nc', 'GPP.ANN.CRUNCEPv6.monthly.2001.nc', 'GPP.ANN.CRUNCEPv6.monthly.2002.nc', 'GPP.ANN.CRUNCEPv6.monthly.2003.nc', 'GPP.ANN.CRUNCEPv6.monthly.2004.nc', 'GPP.ANN.CRUNCEPv6.monthly.2005.nc', 'GPP.ANN.CRUNCEPv6.monthly.2006.nc', 'GPP.ANN.CRUNCEPv6.monthly.2007.nc', 'GPP.ANN.CRUNCEPv6.monthly.2008.nc', 'GPP.ANN.CRUNCEPv6.monthly.2009.nc', 'GPP.ANN.CRUNCEPv6.monthly.2010.nc', 'GPP.ANN.CRUNCEPv6.monthly.2011.nc', 'GPP.ANN.CRUNCEPv6.monthly.2012.nc', 'GPP.ANN.CRUNCEPv6.monthly.2013.nc']
2024-04-09: converted to netCDF, additionally we apply a mask where |var|<1e-15 for all time.

  References:
Jung, M., S. Koirala, U. Weber, K. Ichii, F. Gans, Gustau-Camps-Valls, D. Papale, C. Schwalm, G. Tramontana, and M. Reichstein (2019), The FLUXCOM ensemble of global land-atmosphere energy fluxes, Scientific Data, 74, doi:10.1038/s41597-019-0076-8

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

  Coordinates:
lat_bnds lon_bnds