Mean State

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Period Mean (original grids) [1]
Model Period Mean (intersection) [1]
Benchmark Period Mean (intersection) [1]
Model Period Mean (complement) [1]
Benchmark Period Mean (complement) [1]
Bias [1]
Phase Shift [months]
Bias Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 0.598
CanESM5 [-] 0.788 0.683 0.597 0.901 0.662 0.0863 3.00 0.404 0.504 0.768 0.559
CMIP6-MMM [-] 0.757 0.613 0.598 0.908 0.648 0.0149 2.25 0.659 0.654 0.918 0.743
IPSL-CM6A-LR [-] 0.773 0.647 0.598 0.906 0.658 0.0493 2.26 0.633 0.664 0.988 0.762
MIROC-ES2L [-] 0.847 0.757 0.597 0.941 0.662 0.160 2.47 0.308 0.594 0.823 0.575
NorESM2-LM [-] 0.724 0.561 0.598 0.900 0.658 -0.0369 2.15 0.647 0.662 0.860 0.723
UKESM1-0-LL [-] 0.771 0.614 0.598 0.936 0.646 0.0161 2.56 0.462 0.593 0.705 0.587
Download Data
Period Mean (original grids) [1]
Model Period Mean (intersection) [1]
Benchmark Period Mean (intersection) [1]
Model Period Mean (complement) [1]
Benchmark Period Mean (complement) [1]
Bias [1]
Phase Shift [months]
Bias Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 0.755
CanESM5 [-] 0.903 0.886 0.755 0.909 0.131 2.85 0.0590 0.521 0.335 0.305
CMIP6-MMM [-] 0.891 0.827 0.755 0.910 0.0719 2.48 0.270 0.596 0.898 0.588
IPSL-CM6A-LR [-] 0.886 0.837 0.755 0.901 0.0817 2.76 0.193 0.551 0.993 0.579
MIROC-ES2L [-] 0.942 0.937 0.755 0.942 0.182 2.18 0.0371 0.658 0.887 0.527
NorESM2-LM [-] 0.866 0.789 0.755 0.889 0.0346 2.75 0.347 0.563 0.997 0.636
UKESM1-0-LL [-] 0.930 0.878 0.755 0.945 0.124 2.87 0.0793 0.533 0.908 0.507
Download Data
Period Mean (original grids) [1]
Model Period Mean (intersection) [1]
Benchmark Period Mean (intersection) [1]
Model Period Mean (complement) [1]
Benchmark Period Mean (complement) [1]
Bias [1]
Phase Shift [months]
Bias Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 0.521
CanESM5 [-] 0.580 0.598 0.521 0.527 0.522 0.0773 1.73 0.383 0.737 0.955 0.692
CMIP6-MMM [-] 0.549 0.559 0.521 0.518 0.502 0.0381 1.71 0.524 0.738 0.985 0.749
IPSL-CM6A-LR [-] 0.570 0.586 0.521 0.520 0.518 0.0652 1.64 0.488 0.754 0.981 0.741
MIROC-ES2L [-] 0.659 0.680 0.521 0.609 0.541 0.159 2.10 0.274 0.671 0.902 0.616
NorESM2-LM [-] 0.531 0.540 0.521 0.504 0.511 0.0194 1.58 0.483 0.768 0.962 0.737
UKESM1-0-LL [-] 0.573 0.585 0.521 0.537 0.515 0.0641 1.46 0.399 0.780 0.892 0.690
Download Data
Period Mean (original grids) [1]
Model Period Mean (intersection) [1]
Benchmark Period Mean (intersection) [1]
Model Period Mean (complement) [1]
Benchmark Period Mean (complement) [1]
Bias [1]
Phase Shift [months]
Bias Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 0.489
CanESM5 [-] 0.571 0.610 0.488 0.530 0.533 0.121 1.18 0.377 0.835 0.996 0.736
CMIP6-MMM [-] 0.592 0.599 0.489 0.583 0.469 0.110 1.69 0.399 0.755 0.922 0.692
IPSL-CM6A-LR [-] 0.610 0.614 0.489 0.605 0.512 0.125 1.73 0.381 0.747 0.994 0.707
MIROC-ES2L [-] 0.681 0.712 0.488 0.650 0.709 0.224 1.80 0.203 0.746 0.757 0.569
NorESM2-LM [-] 0.583 0.600 0.489 0.564 0.496 0.112 1.50 0.412 0.787 0.945 0.715
UKESM1-0-LL [-] 0.618 0.633 0.489 0.603 0.497 0.144 1.10 0.315 0.850 0.993 0.719
Download Data
Period Mean (original grids) [1]
Model Period Mean (intersection) [1]
Benchmark Period Mean (intersection) [1]
Model Period Mean (complement) [1]
Benchmark Period Mean (complement) [1]
Bias [1]
Phase Shift [months]
Bias Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 0.734
CanESM5 [-] 0.630 0.617 0.734 0.786 -0.117 1.88 0.203 0.721 0.436 0.453
CMIP6-MMM [-] 0.703 0.694 0.734 0.811 -0.0395 1.74 0.444 0.743 0.930 0.706
IPSL-CM6A-LR [-] 0.763 0.755 0.734 0.856 0.0216 1.80 0.516 0.744 0.998 0.753
MIROC-ES2L [-] 0.872 0.870 0.734 0.891 0.137 2.00 0.143 0.695 0.860 0.566
NorESM2-LM [-] 0.700 0.692 0.734 0.801 -0.0417 1.73 0.337 0.757 0.893 0.662
UKESM1-0-LL [-] 0.793 0.785 0.734 0.891 0.0513 2.06 0.261 0.686 0.669 0.539
Download Data
Period Mean (original grids) [1]
Model Period Mean (intersection) [1]
Benchmark Period Mean (intersection) [1]
Model Period Mean (complement) [1]
Benchmark Period Mean (complement) [1]
Bias [1]
Phase Shift [months]
Bias Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 0.501
CanESM5 [-] 0.622 0.594 0.501 0.653 0.580 0.0931 1.56 0.426 0.767 0.952 0.715
CMIP6-MMM [-] 0.628 0.559 0.501 0.703 0.568 0.0583 1.96 0.494 0.695 0.976 0.721
IPSL-CM6A-LR [-] 0.643 0.585 0.501 0.706 0.566 0.0845 1.87 0.454 0.709 0.961 0.708
MIROC-ES2L [-] 0.731 0.680 0.501 0.786 0.582 0.180 2.25 0.262 0.651 0.832 0.582
NorESM2-LM [-] 0.608 0.531 0.501 0.692 0.581 0.0298 1.46 0.470 0.791 0.903 0.721
UKESM1-0-LL [-] 0.645 0.585 0.501 0.710 0.600 0.0842 1.31 0.420 0.819 0.911 0.717

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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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
Data not available
ANNUAL CYCLE
Data not available
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
Data not available
CMIP6-MMM
Data not available
Data not available
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