Mean State

Download Data
Period Mean (original grids) [W m-2]
Bias [W m-2]
RMSE [W m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Overall Score [1]
Benchmark [-] 108.
CLM-CRUJRA [-] 118. 9.64 24.9 0.535 0.833 0.750 0.965 0.825
CLM-GSWP3 [-] 109. 0.411 16.3 0.428 0.911 0.806 0.966 0.872
CLM-Princeton [-] 109. 0.203 14.0 0.321 0.903 0.829 0.973 0.884
ISBA-CTRIP-CRUJRA [-] 118. 9.58 24.9 0.535 0.824 0.749 0.965 0.821
ISBA-CTRIP-GSWP3 [-] 109. 0.0537 17.0 0.642 0.907 0.802 0.939 0.863
ISBA-CTRIP-Princeton [-] 109. 0.124 14.6 0.321 0.909 0.823 0.973 0.882
JSBACH-CRUJRA [-] 118. 8.93 21.6 0.482 0.876 0.767 0.968 0.845
JSBACH-GSWP3 [-] 108. -0.928 16.3 0.375 0.903 0.811 0.969 0.873
JSBACH-Princeton [-] 109. 0.612 15.2 0.321 0.917 0.820 0.979 0.884
Mean-CRUJRA [-] 119. 10.1 23.3 0.535 0.845 0.762 0.965 0.833
Mean-GSWP3 [-] 109. 0.283 16.2 0.482 0.911 0.812 0.962 0.874
Mean-Princeton [-] 109. 0.846 13.9 0.321 0.914 0.831 0.973 0.887
Download Data
Period Mean (original grids) [W m-2]
Bias [W m-2]
RMSE [W m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Overall Score [1]
Benchmark [-] 139.
CLM-CRUJRA [-] 146. 6.53 23.0 0.538 0.797 0.742 0.951 0.808
CLM-GSWP3 [-] 137. -2.66 18.0 0.474 0.851 0.754 0.958 0.829
CLM-Princeton [-] 136. -4.47 16.0 0.562 0.777 0.751 0.939 0.805
ISBA-CTRIP-CRUJRA [-] 145. 5.17 23.0 0.491 0.797 0.740 0.957 0.808
ISBA-CTRIP-GSWP3 [-] 136. -3.95 18.8 0.462 0.839 0.749 0.955 0.823
ISBA-CTRIP-Princeton [-] 136. -4.87 17.0 0.637 0.780 0.741 0.934 0.799
JSBACH-CRUJRA [-] 148. 8.30 24.5 0.516 0.777 0.750 0.954 0.808
JSBACH-GSWP3 [-] 136. -3.82 18.7 0.501 0.842 0.754 0.955 0.826
JSBACH-Princeton [-] 138. -1.36 19.2 0.525 0.847 0.751 0.952 0.825
Mean-CRUJRA [-] 146. 6.51 22.7 0.487 0.792 0.749 0.956 0.812
Mean-GSWP3 [-] 137. -3.22 18.2 0.502 0.841 0.755 0.954 0.826
Mean-Princeton [-] 137. -3.73 16.4 0.588 0.773 0.751 0.937 0.803
Download Data
Period Mean (original grids) [W m-2]
Bias [W m-2]
RMSE [W m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Overall Score [1]
Benchmark [-] 207.
CLM-CRUJRA [-] 196. -3.39 17.4 1.47 0.722 0.727 0.816 0.748
CLM-GSWP3 [-] 189. -10.9 18.4 0.588 0.707 0.711 0.961 0.772
CLM-Princeton [-] 182. -26.7 19.1 1.03 0.449 0.620 0.881 0.642
ISBA-CTRIP-CRUJRA [-] 197. -2.69 17.4 0.295 0.707 0.739 0.980 0.791
ISBA-CTRIP-GSWP3 [-] 192. -7.92 18.0 0.148 0.697 0.706 0.990 0.775
ISBA-CTRIP-Princeton [-] 185. -22.5 17.6 1.03 0.428 0.588 0.881 0.621
JSBACH-CRUJRA [-] 187. -12.7 22.2 0.443 0.622 0.725 0.970 0.760
JSBACH-GSWP3 [-] 181. -19.1 23.8 0.148 0.623 0.709 0.990 0.758
JSBACH-Princeton [-] 176. -24.2 26.3 0.733 0.616 0.668 0.917 0.717
Mean-CRUJRA [-] 192. -7.31 18.2 0.443 0.688 0.732 0.970 0.780
Mean-GSWP3 [-] 186. -13.8 19.5 0.293 0.675 0.711 0.980 0.769
Mean-Princeton [-] 180. -27.8 19.6 1.03 0.454 0.622 0.881 0.645
Download Data
Period Mean (original grids) [W m-2]
Bias [W m-2]
RMSE [W m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Overall Score [1]
Benchmark [-] 208.
CLM-CRUJRA [-] 185. -10.8 19.1 1.02 0.832 0.760 0.932 0.821
CLM-GSWP3 [-] 192. -4.17 12.8 0.172 0.899 0.823 0.988 0.884
CLM-Princeton [-] 195. -12.8 12.7 0.847 0.774 0.723 0.944 0.791
ISBA-CTRIP-CRUJRA [-] 184. -11.5 18.9 0.847 0.820 0.767 0.944 0.824
ISBA-CTRIP-GSWP3 [-] 190. -5.76 12.4 0.172 0.885 0.822 0.988 0.879
ISBA-CTRIP-Princeton [-] 195. -12.7 11.9 1.02 0.790 0.733 0.932 0.797
JSBACH-CRUJRA [-] 183. -13.0 20.0 0.847 0.801 0.761 0.944 0.817
JSBACH-GSWP3 [-] 187. -9.28 14.3 1.02 0.853 0.821 0.932 0.857
JSBACH-Princeton [-] 192. -3.87 14.4 0.847 0.907 0.798 0.944 0.862
Mean-CRUJRA [-] 185. -10.9 18.6 1.02 0.829 0.762 0.932 0.821
Mean-GSWP3 [-] 192. -3.92 12.2 0.172 0.904 0.825 0.988 0.885
Mean-Princeton [-] 197. -11.6 13.1 0.847 0.762 0.730 0.944 0.792
Download Data
Period Mean (original grids) [W m-2]
Bias [W m-2]
RMSE [W m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Overall Score [1]
Benchmark [-] 124.
CLM-CRUJRA [-] 134. 11.5 26.9 0.464 0.765 0.755 0.963 0.809
CLM-GSWP3 [-] 120. -2.89 19.6 0.398 0.850 0.766 0.964 0.837
CLM-Princeton [-] 121. -2.66 16.6 0.520 0.824 0.786 0.956 0.838
ISBA-CTRIP-CRUJRA [-] 132. 9.28 26.1 0.509 0.774 0.762 0.960 0.814
ISBA-CTRIP-GSWP3 [-] 118. -4.46 19.7 0.531 0.856 0.765 0.951 0.834
ISBA-CTRIP-Princeton [-] 120. -4.33 17.5 0.611 0.841 0.780 0.950 0.838
JSBACH-CRUJRA [-] 140. 16.7 29.3 0.475 0.725 0.769 0.962 0.806
JSBACH-GSWP3 [-] 122. -1.50 20.7 0.542 0.854 0.754 0.956 0.830
JSBACH-Princeton [-] 127. 4.05 20.9 0.587 0.848 0.761 0.953 0.831
Mean-CRUJRA [-] 134. 12.0 26.1 0.452 0.762 0.772 0.963 0.817
Mean-GSWP3 [-] 119. -3.24 19.2 0.475 0.856 0.769 0.954 0.837
Mean-Princeton [-] 122. -1.78 16.6 0.555 0.828 0.790 0.952 0.840
Download Data
Period Mean (original grids) [W m-2]
Bias [W m-2]
RMSE [W m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Overall Score [1]
Benchmark [-] 193.
CLM-CRUJRA [-] 199. 5.15 19.2 0.645 0.736 0.536 0.894 0.676
CLM-GSWP3 [-] 201. 7.08 17.9 0.942 0.720 0.541 0.874 0.669
CLM-Princeton [-] 190. -2.95 18.0 1.30 0.641 0.553 0.794 0.635
ISBA-CTRIP-CRUJRA [-] 199. 6.05 19.5 0.809 0.745 0.545 0.874 0.677
ISBA-CTRIP-GSWP3 [-] 200. 7.37 19.0 0.811 0.719 0.543 0.887 0.673
ISBA-CTRIP-Princeton [-] 192. -1.48 17.7 1.30 0.651 0.544 0.794 0.633
JSBACH-CRUJRA [-] 198. 1.53 16.8 1.10 0.774 0.546 0.819 0.671
JSBACH-GSWP3 [-] 198. 1.61 14.9 1.11 0.742 0.570 0.828 0.678
JSBACH-Princeton [-] 192. -4.59 17.2 1.02 0.737 0.550 0.835 0.668
Mean-CRUJRA [-] 199. 5.76 19.7 0.807 0.729 0.546 0.867 0.672
Mean-GSWP3 [-] 200. 7.05 18.9 1.08 0.700 0.554 0.869 0.669
Mean-Princeton [-] 191. -2.34 17.8 1.30 0.623 0.556 0.794 0.632
Download Data
Period Mean (original grids) [W m-2]
Bias [W m-2]
RMSE [W m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Overall Score [1]
Benchmark [-] 49.0
CLM-CRUJRA [-] 53.7 -2.35 26.4 0.438 0.836 0.644 0.954 0.770
CLM-GSWP3 [-] 47.5 -8.61 28.3 0.583 0.831 0.621 0.944 0.754
CLM-Princeton [-] 50.2 1.15 17.2 0.876 0.809 0.678 0.856 0.755
ISBA-CTRIP-CRUJRA [-] 47.5 -8.64 29.7 0.438 0.804 0.616 0.954 0.747
ISBA-CTRIP-GSWP3 [-] 42.6 -13.5 30.9 0.583 0.767 0.615 0.944 0.735
ISBA-CTRIP-Princeton [-] 43.9 -5.17 24.5 0.876 0.768 0.613 0.856 0.712
JSBACH-CRUJRA [-] 66.1 5.92 32.9 0.00 0.873 0.626 1.00 0.781
JSBACH-GSWP3 [-] 56.0 -4.20 21.4 0.407 0.841 0.683 0.973 0.795
JSBACH-Princeton [-] 58.0 -2.17 26.0 0.407 0.816 0.644 0.973 0.769
Mean-CRUJRA [-] 50.8 -5.30 28.8 0.438 0.827 0.632 0.954 0.761
Mean-GSWP3 [-] 45.4 -10.7 28.6 0.438 0.797 0.630 0.954 0.752
Mean-Princeton [-] 47.7 -1.32 21.8 0.876 0.812 0.637 0.856 0.735
Download Data
Period Mean (original grids) [W m-2]
Bias [W m-2]
RMSE [W m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Overall Score [1]
Benchmark [-] 146.
CLM-CRUJRA [-] 153. 5.59 20.3 0.371 0.838 0.804 0.975 0.855
CLM-GSWP3 [-] 143. -4.38 16.2 0.418 0.888 0.804 0.972 0.867
CLM-Princeton [-] 141. -5.59 15.4 0.281 0.770 0.779 0.978 0.827
ISBA-CTRIP-CRUJRA [-] 151. 4.16 20.7 0.323 0.838 0.795 0.979 0.852
ISBA-CTRIP-GSWP3 [-] 140. -6.63 17.7 0.254 0.862 0.796 0.983 0.860
ISBA-CTRIP-Princeton [-] 141. -5.15 16.7 0.408 0.762 0.770 0.970 0.818
JSBACH-CRUJRA [-] 154. 7.10 22.2 0.419 0.811 0.800 0.972 0.846
JSBACH-GSWP3 [-] 140. -6.15 18.2 0.329 0.870 0.788 0.978 0.856
JSBACH-Princeton [-] 143. -3.43 18.2 0.330 0.887 0.786 0.978 0.859
Mean-CRUJRA [-] 153. 5.85 20.2 0.323 0.832 0.808 0.979 0.857
Mean-GSWP3 [-] 142. -5.28 16.9 0.417 0.869 0.802 0.972 0.861
Mean-Princeton [-] 142. -4.16 16.0 0.332 0.759 0.779 0.975 0.823

Temporally integrated period mean

BENCHMARK MEAN
Data not available
Data not available
MODEL MEAN
Data not available
Data not available
BIAS
Data not available
Data not available
BIAS SCORE
Data not available
Data not available
RMSE
Data not available
Data not available
RMSE SCORE
Data not available
Data not available
BENCHMARK MAX MONTH
Data not available
Data not available
MODEL MAX MONTH
Data not available
Data not available
DIFFERENCE IN MAX MONTH
Data not available
Data not available
SEASONAL CYCLE SCORE
Data not available
Data not available

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
Data not available
CLM-CRUJRA
Data not available
Data not available
CLM-GSWP3
Data not available
Data not available
CLM-Princeton
Data not available
Data not available
ISBA-CTRIP-CRUJRA
Data not available
Data not available
ISBA-CTRIP-GSWP3
Data not available
Data not available
ISBA-CTRIP-Princeton
Data not available
Data not available
JSBACH-CRUJRA
Data not available
Data not available
JSBACH-GSWP3
Data not available
Data not available
JSBACH-Princeton
Data not available
Data not available
Mean-CRUJRA
Data not available
Data not available
Mean-GSWP3
Data not available
Data not available
Mean-Princeton
Data not available
Data not available

Data Information

  Title:
FluxNet Tower eddy covariance measurements (Tier 1)

  Version:
2015

  Institutions:
FluxNet, AmeriFlux, AfriFlux, AsiaFlux, ChinaFlux, Fluxnet-Canada, KoFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, GreenGrass, OzFlux-TERN, LBA, NECC, ICOS, TCOS-Siberia, and USCCC

  References:
Reichstein, M., D. Papale, R. Valentini, M. Aubinet, C. Bernhofer, A. Knohl, T. Laurila, A. Lindroth, E. Moors, K. Pilegaard, and G. Seufert (2007), Determinants of terrestrialecosystem carbon balance inferred from European eddy covarianceflux sites, Geophys. Res. Lett., 34, L01402, doi:10.1029/2006GL027880

Lasslop, G., M. Reichstein, D. Papale, A.D. Richardson, A. Arneth, A. Barr, P. Stoy, and G. Wohlfahrt (2010), Separation of net ecosystem exchange into assimilation and respiration using a light response curve approach: critical issues and global evaluation, Global Change Biology, 16, 187-208, doi:10.1111/j.1365-2486.2009.02041.x

Knauer, J., S. Zaehle, B.E. Medlyn, M. Reichstein, C.A. Williams, M. Migliavacca, M.G. De Kauwe, C. Werner, C. Keitel, P. Kolari, J.-M. Limousin, and M.-L. Linderson (2018), Towards physiologically meaningful water use efficiency estimates from eddy covariance data, Global Change Biology, 24(2), 694-710, doi:10.1111/gcb.13893

  Comment:
Fluxnet variable(s) used: SW_IN_F-SW_OUT