Mean State

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 [-] 49.8
ACCESS-ESM1-5 [-] 48.4 48.8 49.8 30.8 -1.67 19.3 1.40 0.490 0.451 0.806 0.597 0.559
BCC-CSM2-MR [-] 52.2 52.9 49.6 23.8 2.82 15.9 1.13 0.565 0.520 0.865 0.599 0.614
BGCLND [-] 45.4 45.3 49.8 47.5 -4.47 13.6 0.929 0.582 0.560 0.877 0.797 0.675
BGCLNDATM_progCO2 [-] 46.9 47.0 49.8 42.6 -2.78 16.9 1.47 0.497 0.512 0.792 0.637 0.590
CanESM5 [-] 39.6 39.9 49.8 28.7 -10.4 23.6 1.75 0.375 0.414 0.761 0.572 0.507
CNRM-ESM2-1 [-] 60.4 61.7 49.8 34.3 10.9 24.1 1.77 0.422 0.395 0.754 0.545 0.502
EC-Earth3-CC [-] 31.9 50.6 49.8 11.4 0.497 24.5 1.79 0.446 0.350 0.754 0.493 0.478
MeanCMIP6 [-] 33.6 34.6 49.8 17.1 -15.4 20.6 1.20 0.381 0.549 0.862 0.762 0.621
MIROC-ES2L [-] 33.8 33.7 49.8 24.5 -16.4 29.7 2.33 0.271 0.434 0.648 0.402 0.438
MPI-ESM1-2-LR [-] 57.4 59.0 49.8 62.8 7.60 29.5 1.85 0.378 0.366 0.742 0.316 0.433
MRI-ESM2-0 [-] 35.8 36.2 49.6 23.6 -13.6 28.0 2.07 0.349 0.331 0.713 0.554 0.456
NorESM2-LM [-] 50.5 51.9 49.8 33.1 1.22 18.7 1.90 0.559 0.442 0.735 0.673 0.570
UKESM1-0-LL [-] 44.8 46.1 49.8 23.9 -4.36 19.1 1.49 0.467 0.473 0.808 0.600 0.564
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 [-] 35.5
ACCESS-ESM1-5 [-] 23.4 25.7 35.5 16.5 -13.7 15.0 1.87 0.295 0.601 0.727 0.846 0.614
BCC-CSM2-MR [-] 22.5 24.0 35.5 17.8 -14.0 16.2 1.87 0.249 0.507 0.716 0.921 0.580
BGCLND [-] 29.7 25.3 35.5 38.2 -10.2 15.1 1.11 0.304 0.588 0.829 0.572 0.576
BGCLNDATM_progCO2 [-] 32.3 30.1 35.5 36.6 -5.47 14.9 1.47 0.340 0.463 0.794 0.467 0.505
CanESM5 [-] 15.7 16.2 35.5 14.8 -19.8 20.5 1.88 0.108 0.584 0.721 0.641 0.527
CNRM-ESM2-1 [-] 27.9 29.4 35.5 23.4 -8.47 12.4 1.91 0.360 0.539 0.712 0.895 0.609
EC-Earth3-CC [-] 15.6 21.9 35.5 13.9 -14.5 21.0 1.89 0.166 0.460 0.699 0.586 0.474
MeanCMIP6 [-] 11.9 13.0 35.5 9.58 -23.1 23.6 1.83 0.0743 0.632 0.729 0.567 0.527
MIROC-ES2L [-] 5.02 4.69 35.5 4.85 -30.7 32.1 2.37 0.0484 0.460 0.636 0.743 0.470
MPI-ESM1-2-LR [-] 22.6 21.0 35.5 30.6 -13.0 19.8 2.75 0.216 0.424 0.553 0.470 0.417
MRI-ESM2-0 [-] 19.4 20.4 35.5 16.4 -17.0 18.1 1.86 0.170 0.527 0.729 0.969 0.584
NorESM2-LM [-] 30.7 33.7 35.5 24.3 -5.50 11.4 2.41 0.411 0.525 0.622 0.899 0.597
UKESM1-0-LL [-] 17.1 18.3 35.5 14.5 -19.1 20.1 1.75 0.136 0.593 0.743 0.966 0.606
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
ACCESS-ESM1-5 [-] 29.1 34.7 40.6 11.3 -6.74 20.2 1.17 0.547 0.531 0.863 0.854 0.665
BCC-CSM2-MR [-] 34.1 39.3 40.6 16.9 -2.14 22.3 1.28 0.530 0.473 0.850 0.725 0.610
BGCLND [-] 32.0 36.5 40.6 18.2 21.9 -4.14 13.2 0.732 0.658 0.633 0.925 0.948 0.759
BGCLNDATM_progCO2 [-] 31.2 35.1 40.6 19.2 21.9 -5.52 18.2 1.06 0.604 0.533 0.886 0.847 0.681
CanESM5 [-] 27.9 32.6 40.6 13.4 -8.67 21.2 1.33 0.513 0.517 0.832 0.899 0.656
CNRM-ESM2-1 [-] 36.2 41.4 40.6 19.2 -0.121 17.2 1.15 0.607 0.528 0.865 0.899 0.685
EC-Earth3-CC [-] 27.5 33.5 40.6 13.7 -7.35 22.5 1.27 0.523 0.484 0.845 0.773 0.622
MeanCMIP6 [-] 22.3 26.3 40.6 9.80 -14.8 20.1 1.05 0.465 0.596 0.888 0.955 0.700
MIROC-ES2L [-] 22.5 25.3 40.6 14.5 -15.8 25.2 1.24 0.426 0.520 0.844 0.821 0.626
MPI-ESM1-2-LR [-] 34.4 39.3 40.6 18.4 -2.31 24.9 1.31 0.466 0.447 0.828 0.687 0.575
MRI-ESM2-0 [-] 23.2 28.4 40.6 6.04 -12.7 22.5 1.22 0.469 0.490 0.851 0.879 0.636
NorESM2-LM [-] 34.2 39.6 40.6 16.9 -2.14 17.8 1.33 0.624 0.520 0.836 0.890 0.678
UKESM1-0-LL [-] 29.0 33.5 40.6 14.4 -8.03 18.3 1.22 0.564 0.560 0.863 0.929 0.695
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
ACCESS-ESM1-5 [-] 7.57 9.57 24.8 -2.16 -15.0 24.3 0.958 0.585 0.556 0.898 0.889 0.697
BCC-CSM2-MR [-] 4.22 6.49 24.8 -7.67 -18.1 25.7 1.34 0.535 0.580 0.847 0.769 0.662
BGCLND [-] 15.9 19.1 24.8 -2.30 16.4 -5.73 14.1 0.595 0.804 0.681 0.948 0.758 0.774
BGCLNDATM_progCO2 [-] 7.59 9.60 24.8 -3.82 16.4 -15.2 23.8 1.12 0.591 0.544 0.875 0.908 0.692
CanESM5 [-] 9.93 12.0 24.8 -1.35 -12.6 20.3 1.05 0.634 0.639 0.881 0.911 0.741
CNRM-ESM2-1 [-] 16.6 19.3 24.8 0.866 -5.65 15.4 0.824 0.774 0.674 0.913 0.885 0.784
EC-Earth3-CC [-] 8.34 5.77 24.8 10.7 -19.0 26.9 1.05 0.508 0.571 0.887 0.762 0.660
MeanCMIP6 [-] 5.55 6.89 24.8 -2.49 -17.9 25.0 0.850 0.527 0.568 0.915 0.805 0.677
MIROC-ES2L [-] 3.93 4.54 24.8 1.87 -19.8 27.4 0.938 0.496 0.590 0.898 0.658 0.646
MPI-ESM1-2-LR [-] 6.68 8.74 24.8 -4.70 -15.4 23.3 0.686 0.568 0.619 0.928 0.814 0.709
MRI-ESM2-0 [-] 7.93 10.4 24.8 -8.68 -14.3 20.1 0.754 0.611 0.684 0.925 0.788 0.738
NorESM2-LM [-] 11.5 12.8 24.8 -1.26 -12.0 22.6 1.21 0.649 0.562 0.860 0.863 0.699
UKESM1-0-LL [-] 11.1 12.8 24.8 -1.20 -11.9 21.7 0.997 0.651 0.565 0.895 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
ACCESS-ESM1-5 [-] 44.4 44.6 35.9 35.4 8.00 19.2 1.31 0.440 0.381 0.841 0.345 0.478
BCC-CSM2-MR [-] 54.0 54.4 35.9 30.7 17.7 24.8 1.39 0.208 0.289 0.811 0.458 0.411
BGCLND [-] 27.5 26.8 35.9 48.8 -9.18 15.1 1.46 0.365 0.462 0.813 0.577 0.536
BGCLNDATM_progCO2 [-] 36.2 35.8 35.9 46.1 -0.124 13.2 0.992 0.476 0.395 0.881 0.655 0.560
CanESM5 [-] 54.7 55.7 35.9 44.0 19.0 35.3 2.00 0.217 0.157 0.714 0.238 0.297
CNRM-ESM2-1 [-] 40.7 40.8 35.9 34.8 4.56 18.3 1.80 0.437 0.331 0.756 0.319 0.435
EC-Earth3-CC [-] 36.9 38.7 35.9 14.7 2.66 26.7 1.97 0.255 0.273 0.725 0.221 0.349
MeanCMIP6 [-] 31.3 31.6 35.9 20.4 -4.58 14.0 1.68 0.428 0.396 0.777 0.791 0.558
MIROC-ES2L [-] 17.3 17.3 35.9 20.9 -18.5 26.1 1.73 0.172 0.360 0.760 0.382 0.407
MPI-ESM1-2-LR [-] 40.5 39.8 35.9 92.0 3.17 28.8 1.83 0.215 0.254 0.741 0.172 0.327
MRI-ESM2-0 [-] 28.9 28.9 35.9 28.6 -7.22 18.1 1.79 0.310 0.344 0.752 0.617 0.473
NorESM2-LM [-] 42.5 42.9 35.9 33.5 6.49 13.7 1.59 0.416 0.373 0.793 0.974 0.586
UKESM1-0-LL [-] 30.0 30.2 35.9 23.6 -6.10 19.2 2.19 0.308 0.356 0.697 0.559 0.455
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
ACCESS-ESM1-5 [-] 19.5 19.7 30.4 20.4 -10.7 19.8 1.07 0.645 0.594 0.882 0.865 0.716
BCC-CSM2-MR [-] 19.4 19.3 30.4 20.2 -11.1 23.0 1.40 0.637 0.530 0.829 0.697 0.645
BGCLND [-] 27.3 27.3 30.4 27.1 22.7 -3.06 12.0 0.579 0.797 0.697 0.952 0.903 0.809
BGCLNDATM_progCO2 [-] 19.6 19.7 30.4 19.1 22.7 -10.7 20.0 1.18 0.658 0.562 0.868 0.865 0.703
CanESM5 [-] 19.1 19.3 30.4 22.6 -10.7 18.6 1.12 0.635 0.626 0.864 0.922 0.735
CNRM-ESM2-1 [-] 27.6 27.5 30.4 29.5 -2.93 14.5 0.981 0.754 0.647 0.890 0.938 0.775
EC-Earth3-CC [-] 19.4 17.8 30.4 21.1 -12.6 22.9 1.09 0.574 0.577 0.878 0.650 0.651
MeanCMIP6 [-] 15.0 14.7 30.4 18.3 -15.7 21.2 0.987 0.545 0.623 0.893 0.935 0.724
MIROC-ES2L [-] 13.4 13.9 30.4 16.1 -16.4 23.9 1.03 0.533 0.600 0.886 0.677 0.659
MPI-ESM1-2-LR [-] 21.7 21.5 30.4 28.1 -8.53 22.2 0.911 0.586 0.578 0.889 0.582 0.643
MRI-ESM2-0 [-] 15.8 15.4 30.4 20.6 -14.9 20.8 0.926 0.554 0.644 0.898 0.882 0.724
NorESM2-LM [-] 27.2 25.9 30.4 29.5 -4.69 17.8 1.08 0.703 0.611 0.879 0.779 0.716
UKESM1-0-LL [-] 22.3 22.1 30.4 27.8 -8.27 17.9 1.07 0.688 0.603 0.882 0.926 0.740

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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ACCESS-ESM1-5
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BCC-CSM2-MR
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BGCLND
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BGCLNDATM_progCO2
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CanESM5
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CNRM-ESM2-1
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EC-Earth3-CC
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MeanCMIP6
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MIROC-ES2L
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MPI-ESM1-2-LR
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MRI-ESM2-0
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NorESM2-LM
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UKESM1-0-LL
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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