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
E3SMv3 default [-] 0.664 0.660 0.598 0.768 0.0617 2.78 0.539 0.556 0.916 0.671
E3SMv3 highECS [-] 0.686 0.682 0.598 0.790 0.0840 2.63 0.509 0.583 0.970 0.687
E3SMv3 lowECS [-] 0.688 0.684 0.598 0.793 0.0853 2.22 0.483 0.662 0.932 0.692
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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 [-] 0.755
E3SMv3 default [-] 0.814 0.805 0.755 0.832 0.0504 3.06 0.359 0.480 0.972 0.604
E3SMv3 highECS [-] 0.825 0.820 0.755 0.836 0.0651 2.66 0.276 0.553 0.974 0.601
E3SMv3 lowECS [-] 0.842 0.834 0.755 0.859 0.0789 2.68 0.262 0.559 0.954 0.592
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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 [-] 0.521
E3SMv3 default [-] 0.533 0.569 0.521 0.385 0.439 0.0482 1.71 0.508 0.731 0.981 0.740
E3SMv3 highECS [-] 0.543 0.579 0.521 0.402 0.463 0.0577 1.77 0.502 0.721 0.984 0.735
E3SMv3 lowECS [-] 0.545 0.580 0.521 0.405 0.447 0.0587 1.55 0.495 0.761 0.988 0.748
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
E3SMv3 default [-] 0.609 0.608 0.489 0.615 0.434 0.119 1.72 0.406 0.740 0.991 0.712
E3SMv3 highECS [-] 0.617 0.615 0.489 0.632 0.455 0.126 1.79 0.388 0.724 0.987 0.699
E3SMv3 lowECS [-] 0.600 0.599 0.489 0.601 0.443 0.110 1.57 0.425 0.764 0.990 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 [-] 0.734
E3SMv3 default [-] 0.714 0.717 0.734 0.645 -0.0167 1.57 0.460 0.776 0.701 0.646
E3SMv3 highECS [-] 0.726 0.729 0.734 0.664 -0.00462 1.65 0.452 0.762 0.726 0.647
E3SMv3 lowECS [-] 0.696 0.698 0.734 0.648 -0.0356 1.71 0.388 0.749 0.650 0.596
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
E3SMv3 default [-] 0.563 0.570 0.501 0.513 0.508 0.0682 1.97 0.489 0.682 0.975 0.715
E3SMv3 highECS [-] 0.572 0.578 0.501 0.520 0.518 0.0769 2.13 0.476 0.650 0.979 0.702
E3SMv3 lowECS [-] 0.561 0.567 0.501 0.514 0.518 0.0654 1.74 0.499 0.727 0.983 0.736

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
Data not available

All Models

Benchmark
Data not available
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E3SMv3 default
Data not available
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E3SMv3 highECS
Data not available
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E3SMv3 lowECS
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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