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
BCC-CSM2-MR [-] 80.5 79.4 76.9 121. 3.06 19.6 2.31 0.607 0.561 0.662 0.947 0.667
BGCv2LND.GSW [-] 71.4 71.0 76.3 81.0 -5.35 16.1 1.63 0.655 0.579 0.744 0.939 0.699
BGCv2LNDATM [-] 78.2 77.6 76.3 95.2 1.24 16.1 1.40 0.669 0.567 0.802 0.994 0.720
CanESM5 [-] 88.3 88.1 76.3 104. 12.2 29.0 2.61 0.434 0.421 0.596 0.806 0.536
MeanCMIP6 [-] 74.8 73.2 76.3 94.0 -2.99 16.7 2.16 0.685 0.562 0.662 0.985 0.691
MIROC-ES2L [-] 103. 104. 76.3 107. 27.4 35.1 2.32 0.307 0.492 0.595 0.850 0.547
UKESM1-0-LL [-] 77.5 75.4 76.3 104. -0.275 21.9 2.71 0.510 0.536 0.555 0.793 0.586
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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 [-] 109.
BCC-CSM2-MR [-] 123. 121. 109. 127. 14.2 19.7 2.74 0.353 0.379 0.552 0.964 0.525
BGCv2LND.GSW [-] 110. 110. 109. 111. 0.975 11.1 1.51 0.549 0.591 0.776 0.995 0.700
BGCv2LNDATM [-] 114. 113. 109. 115. 4.14 13.0 1.66 0.464 0.481 0.763 0.994 0.636
CanESM5 [-] 120. 119. 109. 122. 12.0 17.5 2.44 0.371 0.388 0.615 0.993 0.551
MeanCMIP6 [-] 101. 99.9 109. 104. -8.51 15.4 2.36 0.322 0.481 0.629 0.592 0.501
MIROC-ES2L [-] 130. 132. 109. 127. 20.4 26.2 2.51 0.202 0.378 0.606 0.974 0.507
UKESM1-0-LL [-] 113. 112. 109. 116. 4.46 13.5 2.23 0.554 0.455 0.648 0.996 0.622
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
BCC-CSM2-MR [-] 41.4 49.3 48.9 15.4 2.07 18.3 1.24 0.634 0.528 0.793 0.954 0.687
BGCv2LND.GSW [-] 37.9 45.5 48.9 14.6 33.8 -3.43 12.6 0.862 0.713 0.638 0.874 0.989 0.770
BGCv2LNDATM [-] 45.4 53.7 48.9 20.1 33.8 4.79 15.0 0.876 0.681 0.601 0.859 0.985 0.745
CanESM5 [-] 43.9 51.8 48.9 17.8 5.72 23.8 1.44 0.527 0.465 0.757 0.919 0.627
MeanCMIP6 [-] 37.4 44.1 48.9 16.5 -3.52 17.7 1.11 0.625 0.556 0.809 0.980 0.705
MIROC-ES2L [-] 55.6 65.5 48.9 25.3 18.1 27.4 1.29 0.403 0.531 0.766 0.864 0.619
UKESM1-0-LL [-] 41.5 49.7 48.9 14.3 2.78 18.3 1.18 0.588 0.566 0.792 0.932 0.689
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 [-] 25.2
BCC-CSM2-MR [-] 22.1 24.3 25.2 9.53 -0.956 12.8 0.667 0.876 0.683 0.935 0.917 0.819
BGCv2LND.GSW [-] 20.8 22.8 25.2 9.12 26.3 -2.40 9.50 0.439 0.880 0.763 0.970 0.990 0.873
BGCv2LNDATM [-] 25.6 27.5 25.2 14.4 26.3 2.32 10.0 0.456 0.870 0.755 0.968 0.936 0.857
CanESM5 [-] 24.1 26.4 25.2 12.0 0.994 14.3 0.814 0.861 0.650 0.914 0.887 0.792
MeanCMIP6 [-] 18.2 19.5 25.2 10.7 -5.65 15.7 0.618 0.809 0.621 0.942 0.989 0.796
MIROC-ES2L [-] 32.4 35.3 25.2 19.9 9.83 16.8 0.715 0.701 0.694 0.927 0.669 0.737
UKESM1-0-LL [-] 23.7 25.5 25.2 10.7 0.314 11.6 0.622 0.896 0.705 0.941 0.959 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
BCC-CSM2-MR [-] 101. 101. 99.9 107. 1.49 24.1 2.15 0.454 0.218 0.687 0.990 0.514
BGCv2LND.GSW [-] 99.6 99.8 99.9 91.5 -0.0352 12.0 0.979 0.584 0.492 0.878 0.983 0.686
BGCv2LNDATM [-] 104. 104. 99.9 102. 4.45 15.0 1.87 0.591 0.432 0.702 0.925 0.616
CanESM5 [-] 87.6 87.5 99.9 94.1 -12.0 42.1 2.39 0.232 0.121 0.625 0.815 0.383
MeanCMIP6 [-] 89.3 89.3 99.9 90.6 -10.7 19.8 2.11 0.358 0.379 0.681 0.951 0.550
MIROC-ES2L [-] 132. 133. 99.9 116. 32.1 38.4 2.38 0.118 0.361 0.629 0.959 0.485
UKESM1-0-LL [-] 109. 109. 99.9 106. 8.88 23.5 2.24 0.310 0.326 0.640 0.983 0.517
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
BCC-CSM2-MR [-] 31.6 31.6 31.9 33.4 0.351 13.8 0.715 0.837 0.665 0.916 0.935 0.803
BGCv2LND.GSW [-] 28.3 28.2 31.9 29.2 35.3 -3.62 10.6 0.525 0.835 0.733 0.959 0.990 0.850
BGCv2LNDATM [-] 35.7 35.2 31.9 40.7 35.3 3.31 12.1 0.553 0.827 0.706 0.954 0.969 0.832
CanESM5 [-] 32.7 33.1 31.9 30.3 2.42 16.8 0.966 0.785 0.618 0.876 0.840 0.747
MeanCMIP6 [-] 25.8 25.3 31.9 30.5 -5.91 16.4 0.697 0.770 0.613 0.915 0.985 0.779
MIROC-ES2L [-] 44.4 44.2 31.9 46.7 13.1 20.6 0.779 0.625 0.651 0.902 0.725 0.711
UKESM1-0-LL [-] 31.2 31.6 31.9 28.8 0.681 13.4 0.709 0.823 0.681 0.921 0.918 0.805

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
Data not available
MODEL COLORS
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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
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BCC-CSM2-MR
Data not available
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BGCv2LND.GSW
Data not available
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BGCv2LNDATM
Data not available
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CanESM5
Data not available
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MeanCMIP6
Data not available
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MIROC-ES2L
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