Global - Land
CLM-CRUJRA
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 [-] 40.7
CLM-CRUJRA [-] 42.1 40.1 40.6 37.1 41.2 -0.567 18.7 1.14 0.612 0.478 0.857 0.904 0.666
CLM-GSWP3 [-] 39.4 36.4 40.6 37.8 41.2 -4.29 16.3 0.876 0.659 0.514 0.901 0.928 0.703
CLM-Princeton [-] 40.0 38.4 40.7 37.3 41.3 -2.30 16.3 1.07 0.665 0.485 0.856 0.978 0.694
ISBA-CTRIP-CRUJRA [-] 41.9 41.1 40.6 44.7 41.6 0.398 20.8 0.867 0.569 0.441 0.907 0.851 0.642
ISBA-CTRIP-GSWP3 [-] 41.8 39.9 40.6 48.1 41.6 -0.690 21.0 0.804 0.609 0.420 0.914 0.814 0.636
ISBA-CTRIP-Princeton [-] 44.8 44.2 40.7 47.2 41.6 3.51 18.9 0.856 0.657 0.425 0.901 0.929 0.667
JSBACH-CRUJRA [-] 25.5 25.5 40.8 25.7 37.5 -11.1 27.3 1.12 0.477 0.389 0.862 0.809 0.585
JSBACH-GSWP3 [-] 35.1 33.2 40.8 35.8 37.5 -7.67 27.3 1.05 0.522 0.367 0.876 0.702 0.567
JSBACH-Princeton [-] 30.4 30.5 40.8 29.8 37.5 -9.22 27.4 0.922 0.517 0.366 0.894 0.795 0.588
Mean-CRUJRA [-] 37.5 37.2 40.6 38.6 41.2 -3.44 18.5 0.905 0.579 0.491 0.900 0.897 0.671
Mean-GSWP3 [-] 37.8 36.6 40.6 42.0 41.2 -4.04 18.2 0.816 0.626 0.484 0.912 0.853 0.672
Mean-Princeton [-] 38.6 38.1 40.7 40.3 41.3 -2.51 16.6 0.778 0.659 0.478 0.914 0.953 0.696

Temporally integrated period mean click to collapse contents

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 click to collapse contents

MODEL COLORS
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REGIONAL MEAN
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ANNUAL CYCLE
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MONTHLY ANOMALY
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ANNUAL CYCLE
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SensibleHeat / FLUXCOM / 1980-2015 / global / MNAME

Benchmark
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CLM-CRUJRA
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CLM-GSWP3
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CLM-Princeton
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ISBA-CTRIP-CRUJRA
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ISBA-CTRIP-GSWP3
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ISBA-CTRIP-Princeton
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JSBACH-CRUJRA
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JSBACH-GSWP3
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JSBACH-Princeton
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Mean-CRUJRA
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Mean-GSWP3
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Mean-Princeton
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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

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