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] |
|||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Benchmark | [-] | 2.76 | ||||||||||
CLM4 | [-] | 17.6 | 1.12 | 16.6 | 2.66 | 0.105 | -0.892 | 0.50 | 0.35 | 0.42 | ||
CLM4.5 | [-] | 29.0 | 3.81 | 25.4 | 2.66 | 0.105 | 1.29 | 0.56 | 0.72 | 0.64 | ||
CLM5 | [-] | 54.2 | 7.41 | 47.0 | 2.66 | 0.105 | 4.50 | 0.42 | 0.73 | 0.58 |
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] |
|||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Benchmark | [-] | 0.878 | ||||||||||
CLM4 | [-] | 4.03 | 0.574 | 3.15 | 0.588 | 0.00736 | 0.783 | 0.60 | 0.86 | 0.73 | ||
CLM4.5 | [-] | 9.76 | 0.794 | 8.71 | 0.588 | 0.00736 | 1.63 | 0.63 | 0.81 | 0.72 | ||
CLM5 | [-] | 10.2 | 0.761 | 9.21 | 0.588 | 0.00736 | 1.48 | 0.63 | 0.84 | 0.74 |
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] |
|||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Benchmark | [-] | 30.1 | ||||||||||
CLM4 | [-] | 582. | 22.9 | 559. | 29.9 | 0.195 | -0.538 | 0.61 | 0.77 | 0.69 | ||
CLM4.5 | [-] | 560. | 27.8 | 532. | 29.9 | 0.195 | 0.0652 | 0.60 | 0.83 | 0.71 | ||
CLM5 | [-] | 589. | 29.0 | 560. | 29.9 | 0.195 | 0.319 | 0.60 | 0.84 | 0.72 |
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] |
|||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Benchmark | [-] | 26.5 | ||||||||||
CLM4 | [-] | 31.1 | 21.2 | 9.71 | 26.7 | 0.0803 | -0.550 | 0.63 | 0.79 | 0.71 | ||
CLM4.5 | [-] | 35.5 | 23.2 | 12.0 | 26.7 | 0.0803 | -0.256 | 0.60 | 0.84 | 0.72 | ||
CLM5 | [-] | 35.4 | 20.9 | 14.1 | 26.7 | 0.0803 | -0.528 | 0.61 | 0.85 | 0.73 |
_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