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.
4597_2026-03-05_uncalib [-] 119. 116. 109. 3.00 4.71 0.165 1.26 1.24 0.553 0.480 0.773 0.973 0.652
4598_2026-03-05_latest [-] 152. 149. 109. 3.63 4.71 0.945 1.77 1.37 0.414 0.484 0.748 0.956 0.617
ENSEMBLE-CMIP6 [-] 144. 120. 114. 22.1 0.138 1.15 0.979 0.577 0.522 0.810 0.961 0.678

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]
4597_2026-03-05_uncalib [-] 0.535 0.609 0.561 0.717 0.723 0.908 0.940 0.755 0.828 0.767 0.840
4598_2026-03-05_latest [-] 0.446 0.504 0.506 0.600 0.631 0.833 0.814 0.688 0.695 0.682 0.742
ENSEMBLE-CMIP6 [-] 0.571 0.653 0.568 0.690 0.734 0.811 0.903 0.719 0.726 0.831 0.798

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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4597_2026-03-05_uncalib
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4598_2026-03-05_latest
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ENSEMBLE-CMIP6
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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