Global - Land

	Download Data	Period Mean (original grids) [watt/m2]	Model Period Mean (intersection) [watt/m2]	Benchmark Period Mean (intersection) [watt/m2]	Model Period Mean (complement) [watt/m2]	Benchmark Period Mean (complement) [watt/m2]		Bias [watt/m2]	RMSE [watt/m2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
CliMA-Land	[-]	41.9	46.6	48.7	13.2	59.2		-2.13	14.6	0.874		0.642	0.615	0.868	0.983	0.745

Global - Land

  Title:

FLUXCOM (RS+METEO) Global Land Energy Fluxes using GSWP3 climate data

  Version:

1

  Institutions:

Department Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Germany

  Source:

Data generated by machine learning to merge energy flux measurements from FLUXNET eddy covariance towers with MODIS remote sensing and GSWP3v1 meteorological data (RS+METEO)

  History:

2019-05-07: downloaded source from doi:10.17871/FLUXCOM_EnergyFluxes_v1

2019-06-28: converted to netCDF with https://github.com/mmu2019/Datasets/blob/master/read-le-fluxcom.py

  References:

Jung, M., S. Koirala, U. Weber, K. Ichii, F. Gans, G. Camps-Valls, D. Papale, C. Schwalm, G. Tramontana, M. Reichstein (2019), The FLUXCOM ensemble of global land-atmosphere energy fluxes, Scientific Data, submitted, 1-12, https://arxiv.org/abs/1812.04951

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 2014-12

original_temporal_resolution: monthly

original_spatial_resolution: 0.5 degree

original_units: MJ/m2/day

final_temporal_resolution: monthly

final_spatial_resolution: 0.5 degree

final_units: watt/m2

  Convention:

CF-1.7