Mean State

Download Data
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
PPE_115 [-] 113. 103. 95.5 8.15 0.201 0.446 1.15 0.923 0.478 0.618 0.887 0.886 0.697
TRENDY2024 [-] 140. 133. 95.2 6.72 0.505 1.07 1.86 0.996 0.301 0.512 0.875 0.793 0.598
TRENDY2025 [-] 129. 122. 95.2 6.50 0.505 0.815 1.51 0.864 0.384 0.552 0.894 0.792 0.635

Temporally integrated period mean

BENCHMARK MEAN
Data not available
Data not available
MODEL MEAN
Data not available
Data not available
BIAS
Data not available
Data not available
BIAS SCORE
Data not available
Data not available
RMSE
Data not available
Data not available
RMSE SCORE
Data not available
Data not available
BENCHMARK MAX MONTH
Data not available
Data not available
MODEL MAX MONTH
Data not available
Data not available
DIFFERENCE IN MAX MONTH
Data not available
Data not available
SEASONAL CYCLE SCORE
Data not available
Data not available

SPATIAL TAYLOR DIAGRAM
Data not available
MODEL COLORS
Data not available

Spatially integrated regional mean

MODEL COLORS
Data not available
REGIONAL MEAN
Data not available
ANNUAL CYCLE
Data not available
MONTHLY ANOMALY
Data not available
ANNUAL CYCLE
Data not available

All Models

Benchmark
Data not available
Data not available
PPE_115
Data not available
Data not available
TRENDY2024
Data not available
Data not available
TRENDY2025
Data not available
Data not available

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