Global - Land
CLM-CRUJRA
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Period Mean (original grids) [Pg yr-1]
Model Period Mean (intersection) [Pg yr-1]
Benchmark Period Mean (intersection) [Pg yr-1]
Model Period Mean (complement) [Pg yr-1]
Benchmark Period Mean (complement) [Pg yr-1]
Bias [g m-2 d-1]
RMSE [g m-2 d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 114.
CLM-CRUJRA [-] 156. 136. 113. 19.2 0.643 0.520 1.85 1.07 0.482 0.421 0.792 0.955 0.614
CLM-GSWP3 [-] 136. 117. 113. 17.5 0.643 0.0991 1.73 1.11 0.468 0.412 0.782 0.926 0.600
CLM-Princeton [-] 168. 149. 113. 19.7 0.642 0.826 2.08 1.05 0.477 0.414 0.802 0.948 0.611
ISBA-CTRIP-CRUJRA [-] 164. 135. 114. 27.1 0.0691 0.490 1.50 1.14 0.488 0.416 0.770 0.934 0.605
ISBA-CTRIP-GSWP3 [-] 149. 122. 114. 25.4 0.0691 0.190 1.49 1.39 0.566 0.357 0.693 0.970 0.589
ISBA-CTRIP-Princeton [-] 183. 152. 114. 29.1 0.0691 0.898 1.81 1.31 0.431 0.347 0.700 0.914 0.548
JSBACH-CRUJRA [-] 142. 135. 104. 8.72 9.83 0.753 2.06 1.12 0.410 0.332 0.778 0.904 0.551
JSBACH-GSWP3 [-] 139. 131. 104. 7.82 9.82 0.670 1.85 1.32 0.513 0.327 0.708 0.968 0.568
JSBACH-Princeton [-] 140. 133. 104. 7.86 9.82 0.722 1.97 1.24 0.430 0.326 0.721 0.924 0.545
Mean-CRUJRA [-] 169. 139. 113. 30.1 0.308 0.588 1.45 0.954 0.515 0.463 0.816 0.965 0.644
Mean-GSWP3 [-] 155. 127. 113. 27.8 0.308 0.314 1.37 1.12 0.573 0.424 0.762 0.976 0.632
Mean-Princeton [-] 180. 149. 113. 31.2 0.308 0.825 1.63 1.08 0.484 0.422 0.766 0.963 0.611

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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GrossPrimaryProductivity / FLUXCOM / 1980-2014 / global / Mean-Princeton

Download Data
Evapotranspiration|GLEAMv3.3a Hellinger Distance [1]
Precipitation|GPCPv2.3 Hellinger Distance [1]
SurfaceDownwardSWRadiation|CERESed4.1 Hellinger Distance [1]
SurfaceNetSWRadiation|CERESed4.1 Hellinger Distance [1]
SurfaceAirTemperature|CRU4.02 Hellinger Distance [1]
Evapotranspiration|GLEAMv3.3a Score [1]
Precipitation|GPCPv2.3 Score [1]
SurfaceDownwardSWRadiation|CERESed4.1 Score [1]
SurfaceNetSWRadiation|CERESed4.1 Score [1]
SurfaceAirTemperature|CRU4.02 Score [1]
Overall Score [1]
CLM-CRUJRA [-] 0.538 0.553 0.660 0.615 0.624 0.789 0.849 0.736 0.681 0.676 0.746
CLM-GSWP3 [-] 0.562 0.625 0.693 0.643 0.672 0.843 0.894 0.824 0.758 0.725 0.809
CLM-Princeton [-] 0.440 0.494 0.579 0.556 0.622 0.630 0.799 0.660 0.631 0.594 0.663
ISBA-CTRIP-CRUJRA [-] 0.712 0.664 0.740 0.722 0.727 0.819 0.740 0.700 0.676 0.880 0.763
ISBA-CTRIP-GSWP3 [-] 0.692 0.735 0.746 0.739 0.761 0.873 0.883 0.894 0.807 0.898 0.871
ISBA-CTRIP-Princeton [-] 0.557 0.580 0.666 0.674 0.701 0.611 0.687 0.730 0.705 0.780 0.703
JSBACH-CRUJRA [-] 0.723 0.625 0.689 0.615 0.866 0.641 0.749 0.784 0.760
JSBACH-GSWP3 [-] 0.641 0.612 0.689 0.673 0.657 0.918 0.818 0.820 0.805 0.782 0.828
JSBACH-Princeton [-] 0.711 0.621 0.634 0.625 0.884 0.673 0.762 0.783 0.775
Mean-CRUJRA [-] 0.684 0.610 0.702 0.665 0.661 0.851 0.763 0.744 0.702 0.809 0.774
Mean-GSWP3 [-] 0.641 0.660 0.732 0.691 0.732 0.909 0.899 0.888 0.795 0.844 0.867
Mean-Princeton [-] 0.539 0.527 0.632 0.596 0.639 0.741 0.727 0.729 0.737 0.745 0.736

Evapotranspiration/GLEAMv3.3a

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Precipitation/GPCPv2.3

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SurfaceDownwardSWRadiation/CERESed4.1

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SurfaceNetSWRadiation/CERESed4.1

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SurfaceAirTemperature/CRU4.02

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GrossPrimaryProductivity / FLUXCOM / 1980-2014 / 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 Carbon Fluxes using CRUNCEP climate data

  Version:
1

  Institutions:
Department Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Germany

  Source:
Data generated by Artificial Neural Networks and forced with CRUNCEPv6 meteorological data and MODIS (RS+METEO) ftp://ftp.bgc-jena.mpg.de/pub/outgoing/FluxCom/CarbonFluxes_v1_2017/RS+METEO/CRUNCEPv6/raw/monthly/ ftp://ftp.bgc-jena.mpg.de/pub/outgoing/FluxCom/EnergyFluxes/RS_METEO/member/CRUNCEP_v8/monthly/

  History:
2020-08-25: downloaded GPP.ANN.CRUNCEPv6.monthly.****.nc
2022-03-28: converted to netCDF, additionally we apply a mask where |var|<1e-15 for all time.

  References:
Jung, M., S. Koirala, U. Weber, K. Ichii, F. Gans, Gustau-Camps-Valls, D. Papale, C. Schwalm, G. Tramontana, and M. Reichstein (2019), The FLUXCOM ensemble of global land-atmosphere energy fluxes, Scientific Data, 74, doi:10.1038/s41597-019-0076-8

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 2013-12
temporal_resolution: monthly
spatial_resolution: 0.5 degree
units: g m-2 day-1

  Convention:
CF-1.8

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