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 [-] 368.
CESM2_1_001 [-] 487. 478. 8.77 363. 4.62 1.43 0.57 0.78 0.68
CESM2_1_002 [-] 487. 478. 8.81 363. 4.62 1.44 0.57 0.78 0.68
CESM2_1_003 [-] 487. 478. 8.74 363. 4.62 1.43 0.57 0.78 0.68
LENS1 [-] 552. 541. 10.7 363. 4.64 2.08 0.50 0.57 0.53
LENS10 [-] 552. 541. 10.7 363. 4.64 2.09 0.49 0.56 0.53
LENS5 [-] 554. 543. 10.8 363. 4.64 2.12 0.49 0.56 0.53

Temporally integrated period mean

BENCHMARK MEAN
Data not available
Data not available
MODEL MEAN
Data not available
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BIAS
Data not available
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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
CESM2_1_001
Data not available
Data not available
CESM2_1_002
Data not available
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CESM2_1_003
Data not available
Data not available
LENS1
Data not available
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LENS10
Data not available
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LENS5
Data not available
Data not available

Data Information

  Approach: To convert the original data in0.25x0.25 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-GlobalCarbon.pro Code 2: http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/convert-GlobalCarbon.ncl Code 3: http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/write-GlobalCarbon.ncl First, I used Code 1 to read above ground and below ground biomass carbon data in quater degree 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 for both above and below ground data in each 0.5x0.5 grid cell to obtain the total biomass in 0.5x0.5 degree resolution; finally I used Code 3 to create the final file in netCDF format.

  Temporal resolution: climatology

  General information: This product was derived from global biomass carbon stocks data originally in 0.25x0.25 degree resolution.

  Spatial resolution: 0.5x0.5 degree

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