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 [-] 30.1
CRUNCEPv7 [-] 589. 29.0 560. 29.9 0.195 0.319 0.597 0.839 0.718
GSWP3v1 [-] 487. 22.3 465. 29.9 0.195 -0.481 0.575 0.774 0.674
WATCH [-] 505. 22.6 483. 29.9 0.195 -0.504 0.607 0.739 0.673
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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 [-] 1.44
CRUNCEPv7 [-] 16.4 5.84 10.4 1.41 0.0279 4.22 0.263 0.351 0.307
GSWP3v1 [-] 14.5 5.95 8.42 1.41 0.0279 4.18 0.208 0.467 0.337
WATCH [-] 11.4 4.46 6.77 1.41 0.0279 2.85 0.313 0.550 0.432
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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 [-] 0.00649
CRUNCEPv7 [-] 11.9 0.0238 11.6 0.00649 0.192 0.544 0.674 0.609
GSWP3v1 [-] 10.2 0.0250 9.91 0.00649 0.233 0.584 0.753 0.668
WATCH [-] 10.8 0.0311 10.6 0.00649 0.336 0.775 0.783 0.779
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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 [-] 17.4
CRUNCEPv7 [-] 17.8 17.3 0.314 17.3 0.0180 0.419 0.686 0.919 0.803
GSWP3v1 [-] 12.0 11.6 0.244 17.3 0.0180 -1.06 0.651 0.854 0.753
WATCH [-] 13.9 13.5 0.233 17.3 0.0180 -0.616 0.698 0.861 0.780
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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 [-] 1.52
CRUNCEPv7 [-] 56.8 2.46 54.5 1.46 0.0621 7.01 0.557 0.882 0.720
GSWP3v1 [-] 43.6 1.80 42.0 1.46 0.0621 3.72 0.646 0.903 0.774
WATCH [-] 38.9 1.31 37.8 1.46 0.0621 1.14 0.645 0.737 0.691
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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 [-] 9.78
CRUNCEPv7 [-] 3.49 3.35 0.157 9.71 0.0683 -1.61 0.492 0.568 0.530
GSWP3v1 [-] 3.04 2.93 0.149 9.71 0.0683 -1.73 0.481 0.415 0.448
WATCH [-] 3.35 3.21 0.171 9.71 0.0683 -1.67 0.479 0.430 0.455

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
CRUNCEPv7
Data not available
Data not available
GSWP3v1
Data not available
Data not available
WATCH
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