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.
PPE_115 [-] 118. 108. 113. 8.43 0.266 0.163 1.32 0.931 0.566 0.521 0.889 0.968 0.693
TRENDY2024 [-] 150. 143. 113. 7.09 0.643 0.879 2.04 1.16 0.429 0.412 0.850 0.941 0.609
TRENDY2025 [-] 139. 132. 113. 6.88 0.643 0.632 1.64 0.940 0.496 0.473 0.884 0.945 0.654

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]
PPE_115 [-] 0.498 0.579 0.596 0.712 0.702 0.827 0.905 0.734 0.814 0.837 0.823
TRENDY2024 [-] 0.504 0.429 0.551 0.541 0.489 0.675 0.714 0.745 0.700 0.604 0.688
TRENDY2025 [-] 0.521 0.473 0.589 0.592 0.524 0.709 0.720 0.719 0.764 0.716 0.726

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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PPE_115
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TRENDY2024
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TRENDY2025
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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