Mean State

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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.
CRUJRA [-] 137. 129. 113. 6.88 0.643 0.568 1.72 1.10 0.489 0.483 0.792 0.947 0.639
PPE_GSWP3V1 [-] 121. 114. 113. 6.47 0.643 0.217 1.59 1.16 0.479 0.464 0.773 0.951 0.626
R20_GSWP3V1 [-] 116. 110. 113. 6.20 0.660 0.101 1.58 1.11 0.468 0.481 0.782 0.926 0.628

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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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

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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Relationships

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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]
CRUJRA [-] 0.547 0.489 0.541 0.521 0.517 0.811 0.685 0.630 0.650 0.715 0.698
PPE_GSWP3V1 [-] 0.425 0.543 0.567 0.656 0.637 0.820 0.918 0.815 0.798 0.758 0.822
R20_GSWP3V1 [-] 0.436 0.539 0.566 0.647 0.637 0.843 0.898 0.805 0.757 0.743 0.809

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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All Models

Benchmark
Data not available
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CRUJRA
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PPE_GSWP3V1
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R20_GSWP3V1
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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)

  History:
2020-08-25: downloaded source from ftp://ftp.bgc-jena.mpg.de/pub/outgoing/FluxCom/CarbonFluxes_v1_2017/RS+METEO/CRUNCEPv6/raw/monthly/
2020-08-25: converted to netCDF, additionally we apply a mask where |var|<1e-15 for all time.

  References:
Jung, M., M. Reichstein, C.R. Schwalm, C. Huntingford, S. Sitch, A. Ahlstrom, A. Arneth, G. Camps-Valls, P. Ciais, P. Friedlingstein, F. Gans, K. Ichii, A.K. Jain, E. Kato, D. Papale, B. Poulter, B. Raduly, C. Rodenbeck, G. Tramontana, N. Viovy, Y.P. Wang, U. Weber, S. Zaehle and N. Zeng (2017), Compensatory water effects link yearly global land CO2 sink changes to temperature, Nature, 541, 516-520, doi:10.1038/nature20780

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