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 [-] 23.0
v3.LR.historical_0101 [-] 24.2 26.1 23.0 21.9 3.13 10.3 0.458 0.866 0.744 0.957 0.972 0.857
v3alt.LR.highECS001.historical [-] 27.9 28.7 23.0 26.8 5.70 10.9 0.556 0.808 0.760 0.953 0.976 0.852
v3alt.LR.highECS003.historical [-] 26.5 27.9 23.0 24.7 4.92 10.9 0.448 0.825 0.755 0.959 0.970 0.853
v3alt.LR.lowECS001.historical [-] 22.3 24.4 23.0 19.7 1.44 9.99 0.465 0.893 0.739 0.955 0.987 0.863
v3alt.LR.lowECS002.historical [-] 18.7 21.1 23.0 15.6 -1.87 11.5 0.432 0.884 0.688 0.956 0.989 0.841
v3alt.LR.lowECS003.historical [-] 19.7 21.8 23.0 17.2 -1.20 11.3 0.437 0.893 0.693 0.955 0.989 0.845
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]
Benchmark [-] 66.1
v3.LR.historical_0101 [-] 117. 84.8 66.1 131. 18.7 33.5 1.49 0.437 0.458 0.752 0.921 0.605
v3alt.LR.highECS001.historical [-] 118. 86.8 66.1 132. 20.7 34.8 1.51 0.418 0.462 0.751 0.876 0.594
v3alt.LR.highECS003.historical [-] 119. 86.4 66.1 133. 20.3 31.9 1.50 0.453 0.488 0.762 0.909 0.620
v3alt.LR.lowECS001.historical [-] 114. 85.0 66.1 128. 18.9 30.4 1.24 0.503 0.497 0.813 0.847 0.631
v3alt.LR.lowECS002.historical [-] 111. 83.1 66.1 124. 17.0 28.6 1.28 0.523 0.506 0.820 0.886 0.648
v3alt.LR.lowECS003.historical [-] 114. 83.9 66.1 127. 17.8 28.6 1.27 0.521 0.525 0.806 0.876 0.651
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]
Benchmark [-] 45.0
v3.LR.historical_0101 [-] 81.3 57.1 45.0 128. 12.1 17.0 0.532 0.694 0.718 0.945 0.980 0.811
v3alt.LR.highECS001.historical [-] 83.9 60.8 45.0 128. 15.8 19.8 0.526 0.630 0.711 0.947 0.985 0.797
v3alt.LR.highECS003.historical [-] 82.8 58.2 45.0 130. 13.2 17.2 0.555 0.671 0.736 0.941 0.979 0.812
v3alt.LR.lowECS001.historical [-] 79.7 55.4 45.0 126. 10.4 16.3 0.526 0.732 0.713 0.947 0.982 0.817
v3alt.LR.lowECS002.historical [-] 75.3 50.7 45.0 122. 5.70 14.8 0.497 0.785 0.702 0.948 0.975 0.822
v3alt.LR.lowECS003.historical [-] 76.4 51.4 45.0 124. 6.37 14.5 0.507 0.789 0.718 0.948 0.971 0.829
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]
Benchmark [-] 48.9
v3.LR.historical_0101 [-] 56.5 56.3 48.9 39.7 7.33 16.5 1.01 0.630 0.584 0.831 0.968 0.719
v3alt.LR.highECS001.historical [-] 58.6 58.7 48.9 41.6 9.77 17.2 1.03 0.612 0.583 0.825 0.975 0.716
v3alt.LR.highECS003.historical [-] 57.2 57.1 48.9 40.8 8.17 16.3 1.02 0.630 0.594 0.825 0.976 0.724
v3alt.LR.lowECS001.historical [-] 54.4 54.0 48.9 38.9 5.08 16.1 1.03 0.659 0.563 0.821 0.983 0.718
v3alt.LR.lowECS002.historical [-] 52.5 51.7 48.9 37.1 2.78 15.9 1.01 0.669 0.585 0.829 0.978 0.729
v3alt.LR.lowECS003.historical [-] 53.1 52.0 48.9 38.4 3.07 15.8 1.00 0.670 0.589 0.832 0.980 0.732
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]
Benchmark [-] 44.6
v3.LR.historical_0101 [-] 70.1 54.4 44.6 132. 9.88 14.6 0.445 0.733 0.747 0.961 0.993 0.836
v3alt.LR.highECS001.historical [-] 72.9 58.2 44.6 131. 13.6 17.5 0.424 0.668 0.739 0.965 0.991 0.820
v3alt.LR.highECS003.historical [-] 71.2 55.4 44.6 134. 10.9 14.8 0.450 0.712 0.762 0.960 0.994 0.838
v3alt.LR.lowECS001.historical [-] 68.4 52.4 44.6 132. 7.85 13.8 0.440 0.779 0.736 0.962 0.988 0.840
v3alt.LR.lowECS002.historical [-] 63.8 47.5 44.6 128. 2.94 12.6 0.403 0.833 0.724 0.964 0.990 0.847
v3alt.LR.lowECS003.historical [-] 64.5 48.0 44.6 130. 3.47 12.1 0.429 0.841 0.738 0.964 0.992 0.855

Temporally integrated period mean

BENCHMARK MEAN
Data not available
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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
Data not available
MODEL COLORS
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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
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All Models

Benchmark
Data not available
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v3.LR.historical_0101
Data not available
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v3alt.LR.highECS001.historical
Data not available
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v3alt.LR.highECS003.historical
Data not available
Data not available
v3alt.LR.lowECS001.historical
Data not available
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v3alt.LR.lowECS002.historical
Data not available
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v3alt.LR.lowECS003.historical
Data not available
Data not available

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