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 [-] 49.7
CanESM5 [-] 27.1 39.2 49.8 13.8 43.4 -10.6 21.6 1.68 0.390 0.446 0.767 0.632 0.537
E3SMv3 default [-] 44.4 44.9 49.7 30.0 -4.77 19.1 1.83 0.475 0.425 0.729 0.659 0.543
E3SMv3 highECS [-] 40.7 41.2 49.7 27.4 -8.50 18.8 1.80 0.491 0.437 0.735 0.768 0.574
E3SMv3 lowECS [-] 38.3 38.9 49.7 22.7 -10.8 20.7 1.54 0.416 0.466 0.788 0.646 0.557
IPSL-CM6A-LR [-] 29.7 46.2 49.8 12.1 43.8 -3.57 14.4 1.18 0.599 0.498 0.867 0.779 0.648
MIROC-ES2L [-] 20.8 33.2 49.8 7.40 43.4 -16.7 27.5 2.18 0.284 0.449 0.677 0.484 0.469
NorESM2-LM [-] 32.7 50.7 49.8 13.1 43.8 0.887 17.3 1.86 0.593 0.455 0.751 0.739 0.599
UKESM1-0-LL [-] 27.5 44.8 49.8 8.90 44.8 -4.95 18.0 1.48 0.488 0.486 0.809 0.645 0.583
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 [-] 35.3
CanESM5 [-] 13.5 15.5 35.3 12.9 -19.7 20.4 1.71 0.104 0.598 0.756 0.419 0.495
E3SMv3 default [-] 25.1 27.2 35.3 20.9 -8.13 13.0 2.01 0.412 0.488 0.700 0.852 0.588
E3SMv3 highECS [-] 22.5 23.5 35.3 20.3 -11.7 14.7 1.74 0.299 0.526 0.742 0.888 0.596
E3SMv3 lowECS [-] 17.3 19.2 35.3 13.2 -16.1 18.3 2.21 0.224 0.491 0.656 0.832 0.539
IPSL-CM6A-LR [-] 14.6 18.6 35.3 13.5 -16.7 17.4 2.24 0.158 0.612 0.652 0.807 0.568
MIROC-ES2L [-] 6.22 5.18 35.3 6.62 -30.1 31.0 2.36 0.0451 0.499 0.637 0.811 0.498
NorESM2-LM [-] 19.0 29.2 35.3 15.9 -6.11 10.6 2.38 0.432 0.552 0.632 0.975 0.629
UKESM1-0-LL [-] 9.73 15.9 35.3 7.90 -19.4 20.2 1.74 0.118 0.611 0.746 0.903 0.598
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 [-] 40.6
CanESM5 [-] 26.8 31.7 40.6 15.4 41.4 -8.86 20.0 1.25 0.518 0.541 0.850 0.927 0.675
E3SMv3 default [-] 33.3 37.7 40.6 19.8 15.3 -2.94 16.5 1.01 0.616 0.555 0.889 0.884 0.700
E3SMv3 highECS [-] 32.2 36.5 40.6 19.1 15.3 -4.09 16.1 0.993 0.622 0.562 0.890 0.907 0.708
E3SMv3 lowECS [-] 31.0 35.1 40.6 18.5 15.3 -5.54 16.7 0.929 0.603 0.560 0.899 0.923 0.709
IPSL-CM6A-LR [-] 28.5 34.6 40.6 14.2 41.4 -5.95 16.1 1.04 0.622 0.581 0.889 0.948 0.724
MIROC-ES2L [-] 21.5 24.5 40.6 14.4 41.4 -16.1 23.7 1.13 0.432 0.545 0.865 0.864 0.650
NorESM2-LM [-] 32.1 38.3 40.6 17.6 41.4 -2.34 17.0 1.28 0.642 0.531 0.850 0.910 0.693
UKESM1-0-LL [-] 27.1 32.4 40.6 14.7 41.8 -8.21 17.9 1.18 0.569 0.568 0.870 0.945 0.704
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 [-] 24.8
CanESM5 [-] 13.4 12.3 24.9 14.4 10.1 -12.5 20.1 0.992 0.636 0.639 0.889 0.942 0.749
E3SMv3 default [-] 11.0 13.7 24.8 -3.90 14.4 -11.1 18.0 0.744 0.680 0.637 0.931 0.894 0.756
E3SMv3 highECS [-] 11.1 13.8 24.8 -3.73 14.4 -11.0 17.5 0.721 0.679 0.651 0.932 0.916 0.766
E3SMv3 lowECS [-] 11.4 14.0 24.8 -3.55 14.4 -10.8 17.6 0.635 0.689 0.643 0.944 0.899 0.764
IPSL-CM6A-LR [-] 14.5 14.4 24.8 14.7 10.5 -10.4 18.9 0.849 0.677 0.629 0.915 0.929 0.756
MIROC-ES2L [-] 7.89 5.18 24.9 10.6 10.1 -19.7 26.5 0.835 0.500 0.599 0.914 0.713 0.665
NorESM2-LM [-] 14.7 13.0 24.8 16.4 10.5 -11.9 22.3 1.19 0.655 0.562 0.867 0.899 0.709
UKESM1-0-LL [-] 14.1 13.0 24.8 15.3 11.5 -11.8 21.7 0.969 0.653 0.561 0.899 0.946 0.724
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 [-] 35.9
CanESM5 [-] 52.7 54.4 35.9 30.3 18.5 31.4 1.95 0.242 0.176 0.721 0.326 0.328
E3SMv3 default [-] 42.1 41.8 35.9 52.1 5.91 15.4 1.27 0.502 0.357 0.840 0.612 0.533
E3SMv3 highECS [-] 39.0 38.7 35.9 48.9 2.82 14.3 1.35 0.529 0.352 0.825 0.685 0.549
E3SMv3 lowECS [-] 42.3 42.0 35.9 50.1 6.15 19.0 1.20 0.403 0.279 0.849 0.486 0.459
IPSL-CM6A-LR [-] 33.1 34.2 35.9 18.3 -1.72 9.23 1.22 0.608 0.507 0.863 0.960 0.689
MIROC-ES2L [-] 16.8 17.0 35.9 13.9 -18.9 22.9 1.40 0.174 0.424 0.818 0.630 0.494
NorESM2-LM [-] 41.5 42.6 35.9 27.1 6.73 13.1 1.56 0.427 0.388 0.803 0.988 0.599
UKESM1-0-LL [-] 28.7 29.7 35.9 14.5 -6.15 18.6 2.21 0.319 0.359 0.696 0.579 0.462
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 [-] 30.4
CanESM5 [-] 22.1 19.7 30.4 24.7 29.4 -10.7 18.0 1.08 0.641 0.637 0.870 0.955 0.748
E3SMv3 default [-] 23.8 23.8 30.4 23.9 12.1 -6.62 15.5 0.892 0.716 0.643 0.916 0.894 0.762
E3SMv3 highECS [-] 23.6 23.5 30.4 23.9 12.1 -6.85 15.1 0.859 0.711 0.655 0.919 0.907 0.769
E3SMv3 lowECS [-] 23.5 23.5 30.4 23.3 12.1 -6.89 14.9 0.794 0.720 0.654 0.927 0.920 0.775
IPSL-CM6A-LR [-] 23.2 22.7 30.4 23.8 29.4 -7.72 17.0 1.01 0.683 0.628 0.886 0.942 0.753
MIROC-ES2L [-] 13.8 14.0 30.4 13.5 29.4 -16.4 22.8 0.972 0.537 0.621 0.897 0.727 0.681
NorESM2-LM [-] 25.8 25.8 30.4 25.9 29.4 -4.61 17.3 1.05 0.713 0.618 0.888 0.802 0.728
UKESM1-0-LL [-] 22.8 22.2 30.4 23.4 28.0 -8.19 17.7 1.03 0.694 0.605 0.887 0.937 0.746

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
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ANNUAL CYCLE
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All Models

Benchmark
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CanESM5
Data not available
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E3SMv3 default
Data not available
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E3SMv3 highECS
Data not available
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E3SMv3 lowECS
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-sh-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