Mean State

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Period Mean (original grids) [Pg]
Model Period Mean (intersection) [Pg]
Benchmark Period Mean (intersection) [Pg]
Model Period Mean (complement) [Pg]
Benchmark Period Mean (complement) [Pg]
Bias [kg m-2]
Bias Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 27.4
CTSM_b1 [-] 21.9 12.2 27.2 9.64 0.177 -1.94 0.445 0.697 0.571
CTSM_Def [-] 81.5 49.7 27.2 31.8 0.177 2.92 0.337 0.438 0.387
Download Data
Period Mean (original grids) [Pg]
Model Period Mean (intersection) [Pg]
Benchmark Period Mean (intersection) [Pg]
Model Period Mean (complement) [Pg]
Benchmark Period Mean (complement) [Pg]
Bias [kg m-2]
Bias Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 17.4
CTSM_b1 [-] 9.84 9.82 17.3 0.0185 0.0899 -1.85 0.444 0.718 0.581
CTSM_Def [-] 42.2 42.1 17.3 0.0733 0.0899 6.17 0.262 0.278 0.270

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
CTSM_b1
Data not available
Data not available
CTSM_Def
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