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 [-] 96.3
v3.20tr.Emissions01 [-] 132. 114. 96.3 17.7 0.00339 0.402 1.18 0.812 0.380 0.511 0.849 0.829 0.616

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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All Models

Benchmark
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v3.20tr.Emissions01
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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 ['TER.ANN.CRUNCEPv6.monthly.1980.nc', 'TER.ANN.CRUNCEPv6.monthly.1981.nc', 'TER.ANN.CRUNCEPv6.monthly.1982.nc', 'TER.ANN.CRUNCEPv6.monthly.1983.nc', 'TER.ANN.CRUNCEPv6.monthly.1984.nc', 'TER.ANN.CRUNCEPv6.monthly.1985.nc', 'TER.ANN.CRUNCEPv6.monthly.1986.nc', 'TER.ANN.CRUNCEPv6.monthly.1987.nc', 'TER.ANN.CRUNCEPv6.monthly.1988.nc', 'TER.ANN.CRUNCEPv6.monthly.1989.nc', 'TER.ANN.CRUNCEPv6.monthly.1990.nc', 'TER.ANN.CRUNCEPv6.monthly.1991.nc', 'TER.ANN.CRUNCEPv6.monthly.1992.nc', 'TER.ANN.CRUNCEPv6.monthly.1993.nc', 'TER.ANN.CRUNCEPv6.monthly.1994.nc', 'TER.ANN.CRUNCEPv6.monthly.1995.nc', 'TER.ANN.CRUNCEPv6.monthly.1996.nc', 'TER.ANN.CRUNCEPv6.monthly.1997.nc', 'TER.ANN.CRUNCEPv6.monthly.1998.nc', 'TER.ANN.CRUNCEPv6.monthly.1999.nc', 'TER.ANN.CRUNCEPv6.monthly.2000.nc', 'TER.ANN.CRUNCEPv6.monthly.2001.nc', 'TER.ANN.CRUNCEPv6.monthly.2002.nc', 'TER.ANN.CRUNCEPv6.monthly.2003.nc', 'TER.ANN.CRUNCEPv6.monthly.2004.nc', 'TER.ANN.CRUNCEPv6.monthly.2005.nc', 'TER.ANN.CRUNCEPv6.monthly.2006.nc', 'TER.ANN.CRUNCEPv6.monthly.2007.nc', 'TER.ANN.CRUNCEPv6.monthly.2008.nc', 'TER.ANN.CRUNCEPv6.monthly.2009.nc', 'TER.ANN.CRUNCEPv6.monthly.2010.nc', 'TER.ANN.CRUNCEPv6.monthly.2011.nc', 'TER.ANN.CRUNCEPv6.monthly.2012.nc', 'TER.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