Data Information

Title:: FLUXCOM (RS+METEO) Global Land Carbon Fluxes using CRUNCEP climate data

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']; 2024-01-19: 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

Mean State