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 | [-] | 12.7 | 0.806 | 12.0 | 2.66 | 0.105 | -1.22 | 0.47 | 0.10 | 0.29 | ||
CLM4.5 | [-] | 24.2 | 3.35 | 20.9 | 2.66 | 0.105 | 0.888 | 0.56 | 0.54 | 0.55 | ||
CLM5 | [-] | 45.7 | 7.17 | 38.7 | 2.66 | 0.105 | 4.09 | 0.43 | 0.84 | 0.63 |
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 | [-] | 3.41 | 0.480 | 2.67 | 0.588 | 0.00736 | 0.353 | 0.58 | 0.80 | 0.69 | ||
CLM4.5 | [-] | 7.14 | 0.485 | 6.40 | 0.588 | 0.00736 | 0.570 | 0.61 | 0.84 | 0.73 | ||
CLM5 | [-] | 8.57 | 0.454 | 7.92 | 0.588 | 0.00736 | 0.419 | 0.59 | 0.83 | 0.71 |
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 | [-] | 467. | 18.2 | 448. | 29.9 | 0.195 | -1.10 | 0.59 | 0.59 | 0.59 | ||
CLM4.5 | [-] | 453. | 21.1 | 432. | 29.9 | 0.195 | -0.690 | 0.58 | 0.72 | 0.65 | ||
CLM5 | [-] | 487. | 22.3 | 465. | 29.9 | 0.195 | -0.481 | 0.58 | 0.77 | 0.67 |
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 | [-] | 22.3 | 16.9 | 5.33 | 26.7 | 0.0803 | -1.16 | 0.60 | 0.60 | 0.60 | ||
CLM4.5 | [-] | 26.7 | 17.3 | 9.22 | 26.7 | 0.0803 | -1.06 | 0.59 | 0.74 | 0.66 | ||
CLM5 | [-] | 24.4 | 14.7 | 9.36 | 26.7 | 0.0803 | -1.38 | 0.59 | 0.70 | 0.64 |
_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