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 [-] 95.6
CLM-CRUJRA [-] 148. 128. 95.2 18.6 0.505 0.765 1.57 0.986 0.336 0.392 0.818 0.879 0.563
CLM-GSWP3 [-] 129. 111. 95.2 16.9 0.505 0.358 1.32 1.01 0.411 0.383 0.817 0.936 0.586
CLM-Princeton [-] 161. 142. 95.1 19.1 0.505 1.08 1.89 0.965 0.294 0.376 0.827 0.862 0.547
ISBA-CTRIP-CRUJRA [-] 156. 128. 95.6 26.2 0.0572 0.756 1.43 1.22 0.332 0.385 0.750 0.733 0.517
ISBA-CTRIP-GSWP3 [-] 142. 116. 95.6 24.6 0.0572 0.472 1.23 1.26 0.405 0.367 0.742 0.830 0.542
ISBA-CTRIP-Princeton [-] 176. 146. 95.6 28.2 0.0571 1.17 1.75 1.21 0.274 0.339 0.760 0.699 0.482
JSBACH-CRUJRA [-] 135. 128. 87.8 8.35 7.91 0.995 1.81 1.03 0.282 0.327 0.823 0.708 0.494
JSBACH-GSWP3 [-] 132. 125. 87.8 7.50 7.91 0.913 1.53 1.01 0.321 0.352 0.821 0.849 0.539
JSBACH-Princeton [-] 134. 128. 87.8 7.53 7.91 0.976 1.74 1.03 0.277 0.355 0.825 0.736 0.510
Mean-CRUJRA [-] 161. 132. 95.4 29.2 0.274 0.848 1.37 0.907 0.329 0.459 0.830 0.816 0.579
Mean-GSWP3 [-] 148. 121. 95.4 26.9 0.274 0.583 1.10 0.926 0.425 0.449 0.824 0.915 0.612
Mean-Princeton [-] 173. 143. 95.4 30.3 0.274 1.09 1.59 0.908 0.286 0.439 0.830 0.811 0.561

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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EcosystemRespiration / 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)

  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

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