Mean State

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 [-] 0.569
bcc-csm1-1 [-] 0.717 0.573 0.569 0.901 0.00215 2.16 0.541 0.665 0.728 0.645
BCC-CSM2-MR [-] 0.710 0.535 0.569 0.917 -0.0346 1.81 0.623 0.729 0.735 0.695
CanESM2 [-] 0.710 0.598 0.569 0.853 0.0256 1.88 0.572 0.699 0.736 0.669
CanESM5 [-] 0.750 0.637 0.569 0.892 0.0650 2.71 0.448 0.548 0.673 0.556
CESM1-BGC [-] 0.781 0.677 0.569 0.914 0.109 2.69 0.448 0.553 0.843 0.615
CESM2 [-] 0.711 0.566 0.569 0.897 -0.00224 2.13 0.604 0.658 0.787 0.683
GFDL-ESM2G [-] 0.766 0.655 0.569 0.907 0.0864 2.77 0.450 0.552 0.765 0.589
GFDL-ESM4 [-] 0.776 0.677 0.569 0.908 0.109 2.87 0.452 0.513 0.879 0.615
IPSL-CM5A-LR [-] 0.652 0.463 0.569 0.851 -0.106 2.35 0.555 0.611 0.659 0.608
IPSL-CM6A-LR [-] 0.717 0.595 0.569 0.899 0.0269 1.91 0.648 0.716 0.892 0.752
MeanCMIP5 [-] 0.731 0.605 0.569 0.895 0.583 0.0359 2.23 0.551 0.643 0.814 0.670
MeanCMIP6 [-] 0.728 0.592 0.569 0.904 0.0227 1.96 0.576 0.696 0.807 0.693
MIROC-ESM [-] 0.745 0.633 0.569 0.888 0.0616 2.30 0.496 0.634 0.719 0.616
MIROC-ESM2L [-] 0.808 0.711 0.569 0.930 0.139 2.33 0.362 0.626 0.687 0.558
MPI-ESM-LR [-] 0.713 0.586 0.569 0.907 0.0181 3.01 0.390 0.497 0.474 0.454
MPI-ESM1.2-HR [-] 0.657 0.504 0.569 0.854 -0.0650 2.17 0.446 0.649 0.526 0.540
NorESM1-ME [-] 0.796 0.699 0.569 0.898 0.130 2.97 0.410 0.498 0.818 0.575
NorESM2-LM [-] 0.691 0.518 0.569 0.893 -0.0512 1.96 0.604 0.688 0.786 0.693
UK-HadGEM2-ES [-] 0.710 0.561 0.570 0.920 -0.00744 2.15 0.543 0.655 0.686 0.628
UKESM1-0-LL [-] 0.720 0.548 0.569 0.930 -0.0211 2.22 0.453 0.639 0.612 0.568
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 [-] 0.750
bcc-csm1-1 [-] 0.910 0.834 0.750 0.930 0.0857 2.82 0.170 0.537 0.740 0.482
BCC-CSM2-MR [-] 0.921 0.846 0.750 0.941 0.0979 2.84 0.185 0.532 0.978 0.565
CanESM2 [-] 0.863 0.813 0.750 0.876 0.0632 3.09 0.288 0.484 0.756 0.509
CanESM5 [-] 0.903 0.885 0.750 0.908 0.135 3.08 0.0613 0.480 0.477 0.339
CESM1-BGC [-] 0.922 0.905 0.750 0.926 0.154 2.63 0.0491 0.564 0.726 0.446
CESM2 [-] 0.880 0.781 0.750 0.905 0.0339 2.70 0.365 0.560 0.909 0.611
GFDL-ESM2G [-] 0.937 0.919 0.750 0.941 0.169 2.34 0.0420 0.629 0.890 0.520
GFDL-ESM4 [-] 0.909 0.875 0.750 0.918 0.124 2.73 0.0850 0.547 0.836 0.489
IPSL-CM5A-LR [-] 0.837 0.746 0.750 0.857 -0.00249 2.65 0.328 0.582 0.629 0.513
IPSL-CM6A-LR [-] 0.887 0.828 0.750 0.902 0.0797 2.96 0.213 0.514 0.900 0.542
MeanCMIP5 [-] 0.902 0.860 0.750 0.913 0.110 2.64 0.111 0.563 0.808 0.494
MeanCMIP6 [-] 0.900 0.850 0.750 0.913 0.0998 2.70 0.137 0.554 0.865 0.519
MIROC-ESM [-] 0.886 0.856 0.750 0.894 0.106 3.03 0.149 0.502 0.918 0.523
MIROC-ESM2L [-] 0.935 0.931 0.750 0.936 0.181 2.42 0.0452 0.607 0.974 0.542
MPI-ESM-LR [-] 0.909 0.868 0.750 0.919 0.117 3.08 0.0980 0.485 0.861 0.481
MPI-ESM1.2-HR [-] 0.847 0.786 0.750 0.864 0.0420 3.00 0.145 0.501 0.294 0.313
NorESM1-ME [-] 0.916 0.918 0.750 0.916 0.168 2.92 0.0421 0.510 0.575 0.376
NorESM2-LM [-] 0.871 0.783 0.750 0.892 0.0345 3.08 0.325 0.499 0.949 0.591
UK-HadGEM2-ES [-] 0.922 0.860 0.750 0.938 0.113 2.81 0.134 0.548 0.845 0.509
UKESM1-0-LL [-] 0.930 0.872 0.750 0.945 0.122 2.59 0.0995 0.589 0.994 0.561
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 [-] 0.520
bcc-csm1-1 [-] 0.502 0.519 0.520 0.458 0.414 -8.58e-05 2.09 0.389 0.669 0.906 0.655
BCC-CSM2-MR [-] 0.536 0.546 0.520 0.506 0.422 0.0262 2.07 0.430 0.677 0.909 0.672
CanESM2 [-] 0.482 0.493 0.520 0.448 0.427 -0.0269 1.73 0.426 0.733 0.903 0.687
CanESM5 [-] 0.569 0.588 0.520 0.508 0.431 0.0684 1.77 0.380 0.731 0.910 0.674
CESM1-BGC [-] 0.571 0.586 0.520 0.526 0.453 0.0671 1.71 0.465 0.737 0.927 0.710
CESM2 [-] 0.525 0.531 0.520 0.507 0.449 0.0117 1.61 0.491 0.761 0.948 0.733
GFDL-ESM2G [-] 0.588 0.608 0.520 0.534 0.423 0.0882 1.94 0.354 0.696 0.901 0.650
GFDL-ESM4 [-] 0.615 0.642 0.520 0.531 0.402 0.122 2.09 0.329 0.666 0.845 0.614
IPSL-CM5A-LR [-] 0.475 0.487 0.520 0.459 0.413 -0.0325 2.40 0.415 0.602 0.886 0.634
IPSL-CM6A-LR [-] 0.563 0.581 0.520 0.508 0.428 0.0614 1.65 0.485 0.752 0.968 0.735
MeanCMIP5 [-] 0.557 0.568 0.520 0.521 0.504 0.0476 1.77 0.471 0.722 0.981 0.725
MeanCMIP6 [-] 0.571 0.587 0.520 0.520 0.424 0.0664 1.71 0.463 0.735 0.954 0.717
MIROC-ESM [-] 0.551 0.562 0.520 0.519 0.388 0.0423 1.90 0.419 0.699 0.942 0.686
MIROC-ESM2L [-] 0.644 0.667 0.520 0.592 0.734 0.147 2.12 0.280 0.666 0.852 0.599
MPI-ESM-LR [-] 0.552 0.580 0.520 0.471 0.422 0.0601 1.81 0.335 0.724 0.767 0.609
MPI-ESM1.2-HR [-] 0.514 0.534 0.520 0.449 0.423 0.0155 1.78 0.350 0.713 0.715 0.593
NorESM1-ME [-] 0.571 0.588 0.520 0.516 0.433 0.0682 1.70 0.439 0.742 0.904 0.695
NorESM2-LM [-] 0.523 0.534 0.520 0.493 0.433 0.0137 1.60 0.464 0.763 0.934 0.720
UK-HadGEM2-ES [-] 0.572 0.586 0.520 0.539 0.424 0.0661 1.64 0.381 0.743 0.860 0.661
UKESM1-0-LL [-] 0.565 0.578 0.520 0.527 0.424 0.0580 1.50 0.392 0.777 0.863 0.677
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 [-] 0.488
bcc-csm1-1 [-] 0.552 0.577 0.489 0.528 0.416 0.0878 1.69 0.369 0.749 0.907 0.675
BCC-CSM2-MR [-] 0.611 0.637 0.489 0.585 0.426 0.148 1.67 0.303 0.760 0.924 0.663
CanESM2 [-] 0.512 0.507 0.489 0.517 0.429 0.0181 1.27 0.498 0.829 0.952 0.760
CanESM5 [-] 0.561 0.600 0.489 0.521 0.436 0.111 1.20 0.406 0.834 0.973 0.738
CESM1-BGC [-] 0.542 0.512 0.489 0.574 0.453 0.0234 1.49 0.563 0.785 0.689 0.679
CESM2 [-] 0.576 0.585 0.489 0.566 0.451 0.0975 1.51 0.425 0.779 0.907 0.704
GFDL-ESM2G [-] 0.608 0.661 0.489 0.546 0.426 0.172 1.59 0.239 0.780 0.803 0.608
GFDL-ESM4 [-] 0.668 0.736 0.489 0.594 0.407 0.247 1.60 0.157 0.785 0.862 0.601
IPSL-CM5A-LR [-] 0.597 0.574 0.489 0.618 0.419 0.0849 3.13 0.458 0.469 0.992 0.640
IPSL-CM6A-LR [-] 0.605 0.610 0.489 0.600 0.431 0.120 1.72 0.393 0.751 0.991 0.712
MeanCMIP5 [-] 0.589 0.600 0.489 0.575 0.475 0.111 1.76 0.416 0.734 0.949 0.700
MeanCMIP6 [-] 0.619 0.650 0.489 0.582 0.428 0.161 1.62 0.282 0.765 0.989 0.679
MIROC-ESM [-] 0.553 0.554 0.489 0.553 0.397 0.0653 1.64 0.536 0.766 0.973 0.758
MIROC-ESM2L [-] 0.662 0.699 0.489 0.627 0.406 0.210 1.82 0.223 0.743 0.657 0.541
MPI-ESM-LR [-] 0.600 0.675 0.489 0.526 0.427 0.185 1.64 0.236 0.765 0.817 0.606
MPI-ESM1.2-HR [-] 0.560 0.633 0.489 0.484 0.420 0.144 1.44 0.323 0.798 0.659 0.593
NorESM1-ME [-] 0.537 0.510 0.489 0.560 0.436 0.0211 1.37 0.566 0.802 0.735 0.701
NorESM2-LM [-] 0.579 0.598 0.489 0.558 0.435 0.108 1.50 0.415 0.787 0.897 0.700
UK-HadGEM2-ES [-] 0.624 0.657 0.489 0.589 0.427 0.168 1.46 0.266 0.770 0.947 0.661
UKESM1-0-LL [-] 0.614 0.627 0.489 0.599 0.426 0.138 1.11 0.332 0.855 0.993 0.726
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 [-] 0.733
bcc-csm1-1 [-] 0.551 0.540 0.733 0.770 -0.192 2.21 0.138 0.658 0.277 0.357
BCC-CSM2-MR [-] 0.673 0.655 0.733 0.870 -0.0772 1.84 0.257 0.730 0.678 0.555
CanESM2 [-] 0.495 0.483 0.733 0.716 -0.250 1.88 0.100 0.723 0.280 0.368
CanESM5 [-] 0.628 0.619 0.733 0.806 -0.114 1.94 0.182 0.714 0.324 0.407
CESM1-BGC [-] 0.763 0.755 0.733 0.855 0.0228 2.04 0.280 0.690 0.446 0.472
CESM2 [-] 0.704 0.692 0.733 0.832 -0.0395 1.77 0.423 0.749 0.822 0.665
GFDL-ESM2G [-] 0.637 0.630 0.733 0.794 -0.104 2.43 0.253 0.612 0.533 0.466
GFDL-ESM4 [-] 0.754 0.747 0.733 0.839 0.0148 2.78 0.272 0.543 0.491 0.435
IPSL-CM5A-LR [-] 0.554 0.542 0.733 0.725 -0.190 2.77 0.133 0.551 0.346 0.343
IPSL-CM6A-LR [-] 0.762 0.754 0.733 0.858 0.0213 1.85 0.496 0.736 0.980 0.737
MeanCMIP5 [-] 0.657 0.646 0.733 0.787 -0.0866 1.89 0.296 0.723 0.544 0.521
MeanCMIP6 [-] 0.741 0.733 0.733 0.848 -3.60e-05 1.81 0.428 0.733 0.867 0.676
MIROC-ESM [-] 0.635 0.637 0.733 0.743 -0.0964 2.02 0.242 0.696 0.298 0.412
MIROC-ESM2L [-] 0.856 0.856 0.733 0.872 0.122 2.30 0.161 0.644 0.611 0.472
MPI-ESM-LR [-] 0.689 0.681 0.733 0.784 -0.0518 1.88 0.246 0.728 0.224 0.400
MPI-ESM1.2-HR [-] 0.760 0.754 0.733 0.818 0.753 0.0214 2.66 0.158 0.564 0.212 0.312
NorESM1-ME [-] 0.757 0.753 0.733 0.819 0.0202 2.04 0.288 0.699 0.453 0.480
NorESM2-LM [-] 0.705 0.694 0.733 0.810 -0.0377 1.82 0.338 0.743 0.980 0.687
UK-HadGEM2-ES [-] 0.820 0.816 0.733 0.865 0.0839 2.26 0.152 0.652 0.505 0.436
UKESM1-0-LL [-] 0.797 0.786 0.733 0.904 0.0533 2.11 0.250 0.678 0.648 0.526

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
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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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bcc-csm1-1
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BCC-CSM2-MR
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CanESM2
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CanESM5
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CESM1-BGC
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CESM2
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GFDL-ESM2G
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GFDL-ESM4
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IPSL-CM5A-LR
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IPSL-CM6A-LR
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MeanCMIP5
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MeanCMIP6
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MIROC-ESM
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MIROC-ESM2L
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MPI-ESM-LR
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MPI-ESM1.2-HR
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NorESM1-ME
Data not available
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NorESM2-LM
Data not available
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UK-HadGEM2-ES
Data not available
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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