Mean State

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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]
Benchmark [-] 49.0
v1 [-] 37.4 44.5 48.9 20.4 64.9 -3.33 15.8 1.04 0.624 0.590 0.849 0.986 0.728
v2 [-] 37.4 44.6 48.9 20.4 64.9 -3.31 15.7 1.05 0.625 0.590 0.845 0.986 0.727
v3-default [-] 37.5 44.6 48.9 20.4 64.9 -3.26 15.7 1.05 0.627 0.590 0.846 0.986 0.728
v4 [-] 37.5 44.7 48.9 20.4 64.9 -3.22 15.7 1.05 0.629 0.591 0.845 0.986 0.728
v5 [-] 37.6 44.8 48.9 20.5 64.9 -3.13 15.6 1.04 0.632 0.591 0.847 0.987 0.730
v6 [-] 37.7 44.9 48.9 20.5 64.9 -3.00 15.5 1.03 0.638 0.591 0.850 0.987 0.731
v7 [-] 37.9 45.1 48.9 20.6 64.9 -2.76 15.4 1.04 0.650 0.591 0.847 0.986 0.733
v8 [-] 38.1 45.4 48.9 20.6 64.9 -2.51 15.2 1.04 0.664 0.590 0.846 0.986 0.735

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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ANNUAL CYCLE
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All Models

Benchmark
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v1
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v2
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v3-default
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v4
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v5
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v6
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v7
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v8
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Data Information

  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