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 [-] 49.8
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
IPSL-CM6A-LR [-] 46.9 47.1 49.8 31.7 -3.42 15.2 1.26 0.584 0.489 0.846 0.742 0.630
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
NorESM2-LM [-] 31.7 51.1 49.8 12.7 1.22 18.7 1.90 0.559 0.442 0.735 0.673 0.570
UKESM1-0-LL [-] 27.6 45.6 49.8 8.46 -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
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
IPSL-CM6A-LR [-] 19.6 20.8 35.5 17.0 -16.5 17.1 2.33 0.177 0.609 0.637 0.938 0.594
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
NorESM2-LM [-] 19.2 30.3 35.5 15.6 -5.50 11.4 2.41 0.411 0.525 0.622 0.899 0.597
UKESM1-0-LL [-] 9.82 16.6 35.5 7.82 -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
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
IPSL-CM6A-LR [-] 29.7 35.5 40.6 11.3 -5.87 16.7 1.08 0.615 0.569 0.879 0.934 0.713
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
NorESM2-LM [-] 32.2 38.5 40.6 17.3 -2.14 17.8 1.33 0.624 0.520 0.836 0.890 0.678
UKESM1-0-LL [-] 29.8 32.7 40.6 14.5 -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
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
IPSL-CM6A-LR [-] 11.8 14.2 24.8 -4.24 -10.5 19.0 0.877 0.675 0.630 0.912 0.902 0.750
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
NorESM2-LM [-] 15.0 12.8 24.8 16.5 -12.0 22.6 1.21 0.649 0.562 0.860 0.863 0.699
UKESM1-0-LL [-] 3.13e+16 12.9 24.8 15.3 -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
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
IPSL-CM6A-LR [-] 34.4 34.6 35.9 26.1 -1.77 9.87 1.25 0.583 0.494 0.856 0.913 0.668
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
NorESM2-LM [-] 41.2 42.5 35.9 25.7 6.49 13.7 1.59 0.416 0.373 0.793 0.974 0.586
UKESM1-0-LL [-] 28.4 29.9 35.9 12.3 -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
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
IPSL-CM6A-LR [-] 22.9 22.5 30.4 24.4 -7.75 17.5 1.03 0.677 0.621 0.882 0.917 0.744
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
NorESM2-LM [-] 26.3 25.7 30.4 25.9 -4.69 17.8 1.08 0.703 0.611 0.879 0.779 0.716
UKESM1-0-LL [-] -1.18e+15 22.1 30.4 23.6 -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
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-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