Mean State

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Period Mean (original grids) [Pg]
Model Period Mean (intersection) [Pg]
Model Period Mean (complement) [Pg]
Benchmark Period Mean (intersection) [Pg]
Benchmark Period Mean (complement) [Pg]
Bias [kg m-2]
Bias Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 2.76
bcc-csm1-1 [-] 17.8 1.58 16.7 2.76 0.000338 -0.579 0.558 0.180 0.369
bcc-csm1-1-m [-] 19.3 2.14 15.8 2.71 0.0546 -0.244 0.580 0.382 0.481
CESM1-BGC [-] 6.57 0.345 6.28 2.66 0.105 -1.61 0.409 0.0337 0.221
E3SMv1-CTC [-] 18.9 2.02 16.8 2.76 7.59e-05 -0.149 0.572 0.194 0.383
E3SMv1-ECA [-] 8.28 0.562 7.72 2.76 7.59e-05 -1.42 0.440 0.0389 0.239
GFDL-ESM2G [-] 67.0 9.27 59.2 2.76 5.41 0.376 0.709 0.543
inmcm4 [-] 44.9 6.11 36.8 2.32 0.441 3.16 0.402 0.773 0.588
IPSL-CM5A-LR [-] 61.9 6.50 52.3 2.76 0.00864 3.57 0.469 0.521 0.495
MeanCMIP5 [-] 28.8 3.38 25.4 2.76 0.910 0.524 0.351 0.437
MIROC-ESM [-] 25.0 3.97 21.5 1.72 1.05 2.05 0.418 0.701 0.559
MPI-ESM-LR [-] 8.37 0.484 8.30 2.52 0.241 -1.58 0.438 0.0463 0.242
NorESM1-ME [-] 8.63 0.223 7.68 2.76 -1.67 0.398 0.0303 0.214
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Period Mean (original grids) [Pg]
Model Period Mean (intersection) [Pg]
Model Period Mean (complement) [Pg]
Benchmark Period Mean (intersection) [Pg]
Benchmark Period Mean (complement) [Pg]
Bias [kg m-2]
Bias Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 0.878
bcc-csm1-1 [-] 13.5 1.27 11.8 0.877 1.57 0.623 0.631 0.627
bcc-csm1-1-m [-] 9.37 0.759 8.62 0.694 0.000100 0.272 0.536 0.529 0.533
CESM1-BGC [-] 8.85 0.650 8.18 0.588 0.00736 0.981 0.624 0.861 0.742
E3SMv1-CTC [-] 6.94 0.973 6.44 0.878 5.48e-05 1.12 0.598 0.693 0.646
E3SMv1-ECA [-] 6.55 1.02 5.86 0.878 5.48e-05 1.22 0.540 0.632 0.586
GFDL-ESM2G [-] 16.9 1.41 15.5 0.744 3.12 0.605 0.813 0.709
inmcm4 [-] 16.4 4.00 14.4 0.743 0.135 7.72 0.176 0.339 0.257
IPSL-CM5A-LR [-] 5.47 1.09 4.29 0.716 0.0109 2.79 0.523 0.640 0.582
MeanCMIP5 [-] 9.38 1.36 8.59 0.878 1.99 0.676 0.892 0.784
MIROC-ESM [-] 4.39 0.879 3.02 0.507 0.370 0.932 0.588 0.820 0.704
MPI-ESM-LR [-] 4.67 0.401 4.44 0.681 0.197 -0.615 0.555 0.520 0.537
NorESM1-ME [-] 6.79 0.544 6.32 0.727 0.753 0.626 0.881 0.754
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Period Mean (original grids) [Pg]
Model Period Mean (intersection) [Pg]
Model Period Mean (complement) [Pg]
Benchmark Period Mean (intersection) [Pg]
Benchmark Period Mean (complement) [Pg]
Bias [kg m-2]
Bias Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 30.1
bcc-csm1-1 [-] 476. 25.2 443. 30.1 0.000275 -0.292 0.568 0.368 0.468
bcc-csm1-1-m [-] 385. 21.4 363. 29.9 0.201 -0.843 0.546 0.368 0.457
CESM1-BGC [-] 529. 18.8 509. 29.9 0.176 -1.03 0.601 0.659 0.630
E3SMv1-CTC [-] 582. 26.3 556. 30.1 2.01e-05 -0.142 0.651 0.595 0.623
E3SMv1-ECA [-] 378. 19.1 359. 30.1 2.01e-05 -0.974 0.577 0.519 0.548
GFDL-ESM2G [-] 655. 28.9 618. 30.1 0.191 0.534 0.620 0.577
inmcm4 [-] 603. 63.4 542. 28.7 1.37 3.99 0.462 0.824 0.643
IPSL-CM5A-LR [-] 622. 44.3 567. 30.1 0.0202 2.24 0.542 0.780 0.661
MeanCMIP5 [-] 500. 29.0 471. 30.1 0.201 0.639 0.511 0.575
MIROC-ESM [-] 349. 23.5 323. 24.8 5.32 -0.156 0.568 0.598 0.583
MPI-ESM-LR [-] 335. 10.8 322. 29.0 1.09 -2.05 0.497 0.176 0.336
NorESM1-ME [-] 548. 23.7 517. 30.1 -0.448 0.596 0.731 0.663
Download Data
Period Mean (original grids) [Pg]
Model Period Mean (intersection) [Pg]
Model Period Mean (complement) [Pg]
Benchmark Period Mean (intersection) [Pg]
Benchmark Period Mean (complement) [Pg]
Bias [kg m-2]
Bias Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 26.5
bcc-csm1-1 [-] 30.2 22.4 7.61 26.5 -0.360 0.568 0.322 0.445
bcc-csm1-1-m [-] 23.7 18.5 6.23 26.5 0.166 -1.03 0.542 0.358 0.450
CESM1-BGC [-] 23.1 17.8 5.14 26.7 0.0803 -1.04 0.619 0.672 0.646
E3SMv1-CTC [-] 30.8 23.4 6.93 26.5 -0.219 0.660 0.610 0.635
E3SMv1-ECA [-] 22.3 17.6 4.41 26.5 -1.04 0.592 0.509 0.551
GFDL-ESM2G [-] 25.8 18.3 5.84 26.6 -1.01 0.548 0.454 0.501
inmcm4 [-] 67.6 53.3 14.9 25.7 0.834 3.91 0.476 0.840 0.658
IPSL-CM5A-LR [-] 49.4 36.8 15.6 26.6 0.00159 1.97 0.550 0.819 0.684
MeanCMIP5 [-] 33.0 24.3 8.11 26.5 -0.0619 0.650 0.523 0.586
MIROC-ESM [-] 26.6 18.7 7.45 22.6 3.94 -0.558 0.579 0.580 0.579
MPI-ESM-LR [-] 14.2 9.95 3.65 25.8 0.682 -2.22 0.502 0.161 0.332
NorESM1-ME [-] 28.9 22.9 6.65 26.6 -0.290 0.615 0.733 0.674

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

SPATIAL TAYLOR DIAGRAM
Data not available
MODEL COLORS
Data not available

Spatially integrated regional mean

MODEL COLORS
Data not available

All Models

Benchmark
Data not available
Data not available
bcc-csm1-1
Data not available
Data not available
bcc-csm1-1-m
Data not available
Data not available
CESM1-BGC
Data not available
Data not available
E3SMv1-CTC
Data not available
Data not available
E3SMv1-ECA
Data not available
Data not available
GFDL-ESM2G
Data not available
Data not available
inmcm4
Data not available
Data not available
IPSL-CM5A-LR
Data not available
Data not available
MeanCMIP5
Data not available
Data not available
MIROC-ESM
Data not available
Data not available
MPI-ESM-LR
Data not available
Data not available
NorESM1-ME
Data not available
Data not available

Data Information

  Approach:
To convert the original data at 250m to the final one at 0.5x0.5 degree resolution, Please see conversion steps listed in http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/readme_biomass. 3 codes below will be used in these steps. Code 1: http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/read-US.Forest.pro Code 2: http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/convert-US.Forest.ncl Code 3: http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/write-US.Forest.ncl First, I used Code 1 to read data at 250m from the original geotiff file
then I used Code 2 to convert unit from the orignal unit of ton C per hectare to the final one of Kg C per m2, meanwhile I summed all available data points at 250m in each 0.5x0.5 grid cell to obtain the data at 0.5x0.5 degree resolution
finally I used Code 3 to create the final file in netCDF format.

  Temporal resolution:
yearly

  General information:
This product was derived from Forest Biomass across the Lower 48 States and Alaska originally in a raster format at 250m.

  Spatial resolution:
0.5x0.5 degree

  Derived data code:
http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/read-US.Forest.pro http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/convert-US.Forest.ncl http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/write-US.Forest.ncl