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
BCC-CSM2-MR [-] 52.6 53.3 49.6 23.9 3.22 16.0 1.07 0.560 0.529 0.873 0.586 0.615
BGCv2LND.GSW [-] 45.4 45.3 49.8 47.5 -4.47 13.6 0.929 0.582 0.560 0.877 0.797 0.675
BGCv2LNDATM [-] 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 29.0 -10.4 23.8 1.85 0.368 0.417 0.737 0.557 0.499
GFDL-ESM4 [-] 34.8 35.4 49.8 19.4 -14.6 22.5 1.28 0.367 0.468 0.844 0.675 0.564
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 [-] 34.0 34.0 49.8 24.6 -16.1 30.0 2.36 0.270 0.430 0.643 0.389 0.432
UKESM1-0-LL [-] 44.4 45.6 49.8 23.8 -4.82 19.2 1.48 0.464 0.473 0.807 0.601 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
BCC-CSM2-MR [-] 22.6 24.1 35.5 17.9 -13.8 16.1 1.91 0.253 0.504 0.705 0.924 0.578
BGCv2LND.GSW [-] 29.7 25.3 35.5 38.2 -10.2 15.1 1.11 0.304 0.588 0.829 0.572 0.576
BGCv2LNDATM [-] 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 [-] 15.6 16.2 35.5 14.7 -19.9 20.5 2.05 0.106 0.586 0.698 0.615 0.518
GFDL-ESM4 [-] 15.3 16.2 35.5 12.7 -19.9 20.7 1.99 0.111 0.590 0.714 0.823 0.565
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 [-] 4.92 4.53 35.5 4.88 -30.8 32.3 2.48 0.0502 0.444 0.622 0.717 0.455
UKESM1-0-LL [-] 16.6 17.8 35.5 14.0 -19.6 20.4 1.57 0.125 0.609 0.773 0.961 0.616
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
BCC-CSM2-MR [-] 33.8 39.1 40.6 16.8 -2.41 22.2 1.25 0.534 0.477 0.851 0.725 0.613
BGCv2LND.GSW [-] 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
BGCv2LNDATM [-] 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 [-] 27.8 32.6 40.6 13.4 -8.73 21.2 1.34 0.513 0.516 0.832 0.901 0.656
GFDL-ESM4 [-] 24.3 28.3 40.6 11.4 -12.8 21.6 1.16 0.499 0.525 0.873 0.870 0.658
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 [-] 22.6 25.5 40.6 14.6 -15.7 25.2 1.27 0.428 0.516 0.839 0.818 0.623
UKESM1-0-LL [-] 28.9 33.4 40.6 14.4 -8.07 18.2 1.18 0.566 0.566 0.868 0.931 0.699
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
BCC-CSM2-MR [-] 3.94 6.17 24.8 -7.75 -18.4 26.0 1.26 0.529 0.578 0.851 0.762 0.660
BGCv2LND.GSW [-] 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
BGCv2LNDATM [-] 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 [-] 9.91 11.9 24.8 -1.27 -12.6 20.4 1.03 0.632 0.636 0.885 0.916 0.741
GFDL-ESM4 [-] 4.53 5.66 24.8 -2.64 -19.0 26.7 0.996 0.508 0.550 0.897 0.814 0.664
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 [-] 4.06 4.72 24.8 1.84 -19.6 27.2 0.940 0.499 0.588 0.898 0.672 0.649
UKESM1-0-LL [-] 11.0 12.7 24.8 -1.22 -11.9 21.7 0.972 0.650 0.568 0.899 0.945 0.726
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
BCC-CSM2-MR [-] 53.8 54.2 35.9 30.9 17.5 24.6 1.42 0.213 0.297 0.806 0.459 0.415
BGCv2LND.GSW [-] 27.5 26.8 35.9 48.8 -9.18 15.1 1.46 0.365 0.462 0.813 0.577 0.536
BGCv2LNDATM [-] 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 [-] 54.1 55.1 35.9 43.4 18.3 34.5 1.90 0.226 0.160 0.734 0.248 0.306
GFDL-ESM4 [-] 33.5 33.6 35.9 30.1 -2.33 20.2 1.54 0.326 0.308 0.808 0.444 0.439
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 [-] 16.9 17.0 35.9 21.0 -18.9 26.4 1.72 0.168 0.357 0.762 0.384 0.406
UKESM1-0-LL [-] 30.0 30.2 35.9 24.0 -6.08 18.7 2.18 0.305 0.371 0.702 0.559 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
BCC-CSM2-MR [-] 19.1 19.0 30.4 20.1 -11.4 23.1 1.35 0.632 0.532 0.831 0.690 0.644
BGCv2LND.GSW [-] 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
BGCv2LNDATM [-] 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 [-] 18.9 19.2 30.4 22.2 -10.8 18.9 1.14 0.631 0.621 0.861 0.923 0.732
GFDL-ESM4 [-] 14.9 14.1 30.4 23.8 -16.3 23.6 1.11 0.534 0.580 0.879 0.787 0.672
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 [-] 13.5 13.9 30.4 16.1 -16.3 23.9 1.04 0.532 0.599 0.885 0.687 0.660
UKESM1-0-LL [-] 22.5 22.2 30.4 28.0 -8.12 17.8 1.05 0.690 0.605 0.883 0.917 0.740

Temporally integrated period mean

BENCHMARK MEAN
Data not available
Data not available
MODEL MEAN
Data not available
Data not available
BIAS
Data not available
Data not available
BIAS SCORE
Data not available
Data not available
RMSE
Data not available
Data not available
RMSE SCORE
Data not available
Data not available
BENCHMARK MAX MONTH
Data not available
Data not available
MODEL MAX MONTH
Data not available
Data not available
DIFFERENCE IN MAX MONTH
Data not available
Data not available
SEASONAL CYCLE SCORE
Data not available
Data not available

SPATIAL TAYLOR DIAGRAM
Data not available
MODEL COLORS
Data not available

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
Data not available

All Models

Benchmark
Data not available
Data not available
BCC-CSM2-MR
Data not available
Data not available
BGCv2LND.GSW
Data not available
Data not available
BGCv2LNDATM
Data not available
Data not available
CanESM5
Data not available
Data not available
GFDL-ESM4
Data not available
Data not available
MeanCMIP6
Data not available
Data not available
MIROC-ES2L
Data not available
Data not available
UKESM1-0-LL
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-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