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] |
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Benchmark | [-] | 2.76 | ||||||||||
CLM4.0 | [-] | 12.7 | 0.806 | 12.0 | 2.66 | 0.105 | -1.22 | 0.17 | 0.10 | 0.14 | ||
CLM4.5 | [-] | 24.0 | 3.34 | 20.8 | 2.66 | 0.105 | 0.880 | 0.21 | 0.54 | 0.38 | ||
CLM5.0 | [-] | 45.6 | 7.17 | 38.6 | 2.66 | 0.105 | 4.10 | 0.097 | 0.84 | 0.47 |
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] |
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Benchmark | [-] | 0.878 | ||||||||||
CLM4.0 | [-] | 3.41 | 0.480 | 2.67 | 0.588 | 0.00736 | 0.353 | 0.19 | 0.80 | 0.50 | ||
CLM4.5 | [-] | 7.04 | 0.462 | 6.33 | 0.588 | 0.00736 | 0.493 | 0.22 | 0.83 | 0.52 | ||
CLM5.0 | [-] | 8.33 | 0.441 | 7.69 | 0.588 | 0.00736 | 0.378 | 0.20 | 0.83 | 0.52 |
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] |
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Benchmark | [-] | 30.1 | ||||||||||
CLM4.0 | [-] | 467. | 18.2 | 448. | 29.9 | 0.195 | -1.10 | 0.15 | 0.59 | 0.37 | ||
CLM4.5 | [-] | 450. | 20.9 | 429. | 29.9 | 0.195 | -0.711 | 0.15 | 0.71 | 0.43 | ||
CLM5.0 | [-] | 483. | 21.9 | 461. | 29.9 | 0.195 | -0.535 | 0.13 | 0.77 | 0.45 |
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] |
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Benchmark | [-] | 26.5 | ||||||||||
CLM4.0 | [-] | 22.3 | 16.9 | 5.33 | 26.7 | 0.0803 | -1.16 | 0.15 | 0.60 | 0.38 | ||
CLM4.5 | [-] | 26.6 | 17.1 | 9.21 | 26.7 | 0.0803 | -1.08 | 0.14 | 0.74 | 0.44 | ||
CLM5.0 | [-] | 23.8 | 14.2 | 9.31 | 26.7 | 0.0803 | -1.45 | 0.13 | 0.70 | 0.42 |
_NCProperties: version=1|netcdflibversion=4.4.1|hdf5libversion=1.8.17
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