Global - Land

	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	[-]	114.
norman_atkin_ball-berry_acclim	[-]	183.	150.	114.	27.5	0.266		0.829	1.66	1.32		0.481	0.515	0.808	0.913	0.646
norman_atkin_ball-berry_no-acclim	[-]	170.	139.	114.	25.8	0.266		0.580	1.52	1.33		0.525	0.525	0.807	0.935	0.663
norman_atkin_medlyn_acclim	[-]	187.	154.	114.	28.0	0.266		0.925	1.70	1.31		0.471	0.505	0.811	0.917	0.642
norman_atkin_medlyn_no-acclim	[-]	173.	142.	114.	26.2	0.266		0.650	1.53	1.32		0.518	0.520	0.809	0.938	0.661
norman_ryan_ball-berry-acclim	[-]	177.	145.	114.	26.7	0.266		0.728	1.64	1.33		0.494	0.508	0.806	0.920	0.647
norman_ryan_ball-berry_no-acclim	[-]	166.	136.	114.	25.2	0.266		0.515	1.51	1.35		0.531	0.520	0.803	0.939	0.663
norman_ryan_medlyn-no-acclim	[-]	171.	140.	114.	25.7	0.266		0.601	1.52	1.32		0.526	0.515	0.810	0.941	0.661
norman_ryan_medlyn_acclim	[-]	183.	150.	114.	27.3	0.266		0.835	1.67	1.27		0.486	0.498	0.819	0.923	0.645
two-stream_atkin_ball-berry_acclim	[-]	180.	148.	114.	27.1	0.266		0.787	1.64	1.35		0.488	0.513	0.802	0.921	0.647
two-stream_atkin_ball-berry_no-acclim	[-]	167.	137.	114.	25.4	0.266		0.532	1.49	1.33		0.531	0.523	0.807	0.943	0.665
two-stream_atkin_medlyn_acclim	[-]	185.	152.	114.	27.7	0.266		0.883	1.67	1.32		0.476	0.503	0.810	0.925	0.643
two-stream_atkin_medlyn_no-acclim	[-]	171.	140.	114.	25.8	0.266		0.600	1.51	1.32		0.524	0.518	0.807	0.946	0.663
two-stream_ryan_ball-berry_acclim	[-]	175.	143.	114.	26.3	0.266		0.679	1.62	1.32		0.502	0.506	0.809	0.928	0.650
two-stream_ryan_ball-berry_no-acclim	[-]	164.	134.	114.	24.8	0.266		0.463	1.49	1.33		0.538	0.518	0.807	0.947	0.666
two-stream_ryan_medlyn_acclim	[-]	180.	148.	114.	26.9	0.266		0.788	1.65	1.27		0.493	0.496	0.822	0.932	0.648
two-stream_ryan_medlyn_no-acclim	[-]	168.	138.	114.	25.3	0.266		0.548	1.50	1.32		0.532	0.513	0.809	0.949	0.663

Global - Land

	Download Data	Evapotranspiration|GLEAMv3.3a Hellinger Distance [1]	Precipitation|GPCPv2.3 Hellinger Distance [1]	SurfaceDownwardSWRadiation|CERESed4.1 Hellinger Distance [1]	SurfaceNetSWRadiation|CERESed4.1 Hellinger Distance [1]	SurfaceAirTemperature|CRU4.02 Hellinger Distance [1]		Evapotranspiration|GLEAMv3.3a Score [1]	Precipitation|GPCPv2.3 Score [1]	SurfaceDownwardSWRadiation|CERESed4.1 Score [1]	SurfaceNetSWRadiation|CERESed4.1 Score [1]	SurfaceAirTemperature|CRU4.02 Score [1]	Overall Score [1]
norman_atkin_ball-berry_acclim	[-]	0.506	0.634	0.678	0.644	0.639		0.629	0.689	0.670	0.655	0.757	0.680
norman_atkin_ball-berry_no-acclim	[-]	0.509	0.653	0.692	0.656	0.693		0.655	0.752	0.698	0.683	0.795	0.717
norman_atkin_medlyn_acclim	[-]	0.513	0.607	0.673	0.639	0.634		0.645	0.679	0.667	0.640	0.745	0.675
norman_atkin_medlyn_no-acclim	[-]	0.519	0.632	0.686	0.648	0.687		0.657	0.745	0.701	0.676	0.791	0.714
norman_ryan_ball-berry-acclim	[-]	0.536	0.645	0.684	0.650	0.660		0.690	0.701	0.687	0.670	0.765	0.703
norman_ryan_ball-berry_no-acclim	[-]	0.535	0.654	0.693	0.665	0.690		0.709	0.758	0.708	0.694	0.795	0.733
norman_ryan_medlyn-no-acclim	[-]	0.571	0.630	0.684	0.651	0.689		0.727	0.746	0.713	0.681	0.795	0.733
norman_ryan_medlyn_acclim	[-]	0.559	0.599	0.674	0.637	0.632		0.690	0.687	0.686	0.649	0.761	0.695
two-stream_atkin_ball-berry_acclim	[-]	0.501	0.624	0.677	0.655	0.647		0.665	0.701	0.682	0.659	0.764	0.694
two-stream_atkin_ball-berry_no-acclim	[-]	0.506	0.656	0.702	0.676	0.690		0.687	0.768	0.710	0.686	0.792	0.729
two-stream_atkin_medlyn_acclim	[-]	0.530	0.593	0.672	0.652	0.636		0.668	0.692	0.678	0.650	0.752	0.688
two-stream_atkin_medlyn_no-acclim	[-]	0.524	0.630	0.697	0.680	0.681		0.695	0.762	0.713	0.683	0.798	0.730
two-stream_ryan_ball-berry_acclim	[-]	0.554	0.646	0.679	0.661	0.659		0.724	0.714	0.699	0.684	0.772	0.719
two-stream_ryan_ball-berry_no-acclim	[-]	0.553	0.663	0.698	0.685	0.704		0.760	0.774	0.720	0.704	0.797	0.751
two-stream_ryan_medlyn_acclim	[-]	0.577	0.595	0.665	0.650	0.644		0.738	0.701	0.698	0.675	0.762	0.715
two-stream_ryan_medlyn_no-acclim	[-]	0.608	0.625	0.703	0.690	0.701		0.773	0.764	0.726	0.700	0.798	0.752

Global - Land Temporally integrated period mean Temporally integrated period mean max month Temporally integrated mean phase shift Temporally integrated mean phase shift score Temporally integrated period mean bias Temporally integrated period mean bias score Temporally integrated period mean rmse Temporally integrated period mean rmse score Spatially integrated regional mean cycle Spatially integrated regional mean detrended cycle Spatially integrated regional mean Relationship with Evapotranspiration Relationship with func_Evapotranspiration Relationship with Precipitation Relationship with func_Precipitation Relationship with SurfaceDownwardSWRadiation Relationship with func_SurfaceDownwardSWRadiation Relationship with SurfaceNetSWRadiation Relationship with func_SurfaceNetSWRadiation Relationship with SurfaceAirTemperature Relationship with func_SurfaceAirTemperature

  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)

  History:

2020-08-25: downloaded source from ftp://ftp.bgc-jena.mpg.de/pub/outgoing/FluxCom/CarbonFluxes_v1_2017/RS+METEO/CRUNCEPv6/raw/monthly/

2020-08-25: converted to netCDF, additionally we apply a mask where |var|<1e-15 for all time.

  References:

Jung, M., M. Reichstein, C.R. Schwalm, C. Huntingford, S. Sitch, A. Ahlstrom, A. Arneth, G. Camps-Valls, P. Ciais, P. Friedlingstein, F. Gans, K. Ichii, A.K. Jain, E. Kato, D. Papale, B. Poulter, B. Raduly, C. Rodenbeck, G. Tramontana, N. Viovy, Y.P. Wang, U. Weber, S. Zaehle and N. Zeng (2017), Compensatory water effects link yearly global land CO2 sink changes to temperature, Nature, 541, 516-520, doi:10.1038/nature20780

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

  Comments:

time_period: 1980-01 through 2013-12

temporal_resolution: monthly

spatial_resolution: 0.5 degree

units: g m-2 day-1

  Convention:

CF-1.8