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 [-] 76.3
CanESM5 [-] 88.4 88.2 76.3 104. 12.3 28.9 2.63 0.440 0.420 0.589 0.818 0.537
IPSL-CM6A-LR [-] 83.4 83.8 76.3 91.4 7.92 21.2 2.28 0.631 0.458 0.635 0.991 0.635
MIROC-ES2L [-] 103. 104. 76.3 108. 27.7 35.1 2.43 0.306 0.498 0.574 0.858 0.547
NorESM2-LM [-] 92.2 65.2 76.3 119. -11.1 24.4 2.79 0.516 0.466 0.511 0.943 0.580
UKESM1-0-LL [-] 104. 75.5 76.3 133. -0.670 22.3 2.70 0.511 0.526 0.558 0.789 0.582
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 [-] 109.
CanESM5 [-] 120. 118. 109. 122. 11.4 17.5 2.46 0.383 0.375 0.610 0.995 0.548
IPSL-CM6A-LR [-] 96.8 92.2 109. 105. -11.8 21.7 2.58 0.300 0.397 0.585 0.673 0.470
MIROC-ES2L [-] 130. 132. 109. 126. 20.3 25.8 2.35 0.203 0.395 0.630 0.976 0.520
NorESM2-LM [-] 123. 109. 109. 129. -0.330 15.6 2.62 0.398 0.409 0.573 0.992 0.556
UKESM1-0-LL [-] 133. 114. 109. 139. 4.81 14.2 2.36 0.551 0.435 0.624 0.996 0.608
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
CanESM5 [-] 44.0 52.0 48.9 17.9 5.85 23.9 1.41 0.525 0.463 0.763 0.919 0.626
IPSL-CM6A-LR [-] 43.6 52.5 48.9 14.4 5.75 17.9 1.14 0.621 0.547 0.811 0.960 0.697
MIROC-ES2L [-] 55.9 65.9 48.9 25.4 18.4 27.6 1.32 0.400 0.531 0.759 0.865 0.617
NorESM2-LM [-] 44.3 47.7 48.9 36.9 -1.16 18.3 1.21 0.607 0.549 0.787 0.963 0.691
UKESM1-0-LL [-] 52.3 51.6 48.9 39.0 2.76 18.5 1.17 0.587 0.557 0.790 0.930 0.684
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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 [-] 25.2
CanESM5 [-] 24.1 26.4 25.2 11.9 1.02 14.3 0.805 0.859 0.650 0.914 0.880 0.791
IPSL-CM6A-LR [-] 26.3 28.5 25.2 11.4 3.32 9.89 0.605 0.859 0.782 0.945 0.939 0.861
MIROC-ES2L [-] 32.8 35.7 25.2 20.0 10.2 17.1 0.745 0.694 0.693 0.923 0.661 0.733
NorESM2-LM [-] 26.0 21.8 25.2 29.2 -3.38 13.7 0.698 0.859 0.674 0.932 0.920 0.812
UKESM1-0-LL [-] 8.41e+15 25.6 25.2 29.8 0.388 11.6 0.621 0.896 0.705 0.941 0.958 0.841
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 [-] 99.9
CanESM5 [-] 87.1 86.9 99.9 93.5 -12.5 43.2 2.27 0.223 0.121 0.652 0.784 0.380
IPSL-CM6A-LR [-] 106. 106. 99.9 96.5 6.01 18.3 1.31 0.457 0.309 0.831 0.989 0.579
MIROC-ES2L [-] 132. 132. 99.9 116. 32.0 38.3 2.51 0.115 0.364 0.602 0.960 0.481
NorESM2-LM [-] 97.6 95.8 99.9 115. -4.06 15.9 1.62 0.407 0.421 0.775 0.723 0.549
UKESM1-0-LL [-] 110. 109. 99.9 125. 9.23 24.3 2.34 0.309 0.305 0.617 0.983 0.504
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 [-] 31.9
CanESM5 [-] 32.9 33.3 31.9 30.5 2.60 16.7 0.961 0.784 0.621 0.876 0.836 0.748
IPSL-CM6A-LR [-] 34.4 34.8 31.9 26.3 4.03 12.8 0.675 0.795 0.718 0.927 0.892 0.810
MIROC-ES2L [-] 44.6 44.5 31.9 46.8 13.3 20.8 0.804 0.622 0.650 0.898 0.724 0.709
NorESM2-LM [-] 49.2 29.3 31.9 67.8 -2.52 14.6 0.664 0.796 0.665 0.926 0.892 0.789
UKESM1-0-LL [-] 3.56e+16 32.8 31.9 68.3 0.914 13.3 0.687 0.823 0.684 0.923 0.916 0.806

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
Data not available
REGIONAL MEAN
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ANNUAL CYCLE
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MONTHLY ANOMALY
Data not available
ANNUAL CYCLE
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All Models

Benchmark
Data not available
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CanESM5
Data not available
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IPSL-CM6A-LR
Data not available
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MIROC-ES2L
Data not available
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NorESM2-LM
Data not available
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UKESM1-0-LL
Data not available
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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