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 | ||||||||||

CLM4.5_CRUNCEP | [-] | 560. | 27.8 | 532. | 29.9 | 0.195 | 0.0652 | 0.60 | 0.83 | 0.71 | ||

CLM4.5_GSWP3 | [-] | 453. | 21.1 | 432. | 29.9 | 0.195 | -0.690 | 0.58 | 0.72 | 0.65 | ||

CLM4_CRUNCEP | [-] | 582. | 22.9 | 559. | 29.9 | 0.195 | -0.538 | 0.61 | 0.77 | 0.69 | ||

CLM4_GSWP3 | [-] | 467. | 18.2 | 448. | 29.9 | 0.195 | -1.10 | 0.59 | 0.59 | 0.59 | ||

CLM5_CRUNCEP | [-] | 589. | 29.0 | 560. | 29.9 | 0.195 | 0.319 | 0.60 | 0.84 | 0.72 | ||

CLM5_GSWP3 | [-] | 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 | [-] | 1.44 | ||||||||||

CLM4.5_CRUNCEP | [-] | 9.20 | 3.15 | 5.91 | 1.41 | 0.0279 | 1.69 | 0.48 | 0.80 | 0.64 | ||

CLM4.5_GSWP3 | [-] | 7.93 | 2.85 | 4.96 | 1.41 | 0.0279 | 1.42 | 0.54 | 0.87 | 0.71 | ||

CLM4_CRUNCEP | [-] | 4.27 | 0.825 | 3.37 | 1.41 | 0.0279 | -0.354 | 0.50 | 0.65 | 0.57 | ||

CLM4_GSWP3 | [-] | 3.07 | 0.712 | 2.34 | 1.41 | 0.0279 | -0.483 | 0.52 | 0.48 | 0.50 | ||

CLM5_CRUNCEP | [-] | 16.4 | 5.84 | 10.4 | 1.41 | 0.0279 | 4.22 | 0.26 | 0.35 | 0.31 | ||

CLM5_GSWP3 | [-] | 14.5 | 5.95 | 8.42 | 1.41 | 0.0279 | 4.18 | 0.21 | 0.47 | 0.34 |

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 | [-] | 0.00649 | ||||||||||

CLM4.5_CRUNCEP | [-] | 11.4 | 0.0173 | 11.1 | 0.00649 | 0.148 | 0.56 | 0.79 | 0.68 | |||

CLM4.5_GSWP3 | [-] | 8.49 | 0.0210 | 8.21 | 0.00649 | 0.191 | 0.60 | 0.79 | 0.70 | |||

CLM4_CRUNCEP | [-] | 5.39 | 0.00905 | 5.08 | 0.00649 | 0.00778 | 0.43 | 0.095 | 0.26 | |||

CLM4_GSWP3 | [-] | 4.65 | 0.0130 | 4.37 | 0.00649 | 0.0455 | 0.42 | 0.091 | 0.26 | |||

CLM5_CRUNCEP | [-] | 11.9 | 0.0238 | 11.6 | 0.00649 | 0.192 | 0.54 | 0.67 | 0.61 | |||

CLM5_GSWP3 | [-] | 10.2 | 0.0250 | 9.91 | 0.00649 | 0.233 | 0.58 | 0.75 | 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 | [-] | 17.4 | ||||||||||

CLM4.5_CRUNCEP | [-] | 20.4 | 19.9 | 0.343 | 17.3 | 0.0180 | 1.01 | 0.68 | 0.91 | 0.80 | ||

CLM4.5_GSWP3 | [-] | 14.7 | 14.2 | 0.283 | 17.3 | 0.0180 | -0.425 | 0.66 | 0.91 | 0.78 | ||

CLM4_CRUNCEP | [-] | 16.4 | 16.0 | 0.277 | 17.3 | 0.0180 | -0.0107 | 0.67 | 0.91 | 0.79 | ||

CLM4_GSWP3 | [-] | 13.4 | 13.0 | 0.213 | 17.3 | 0.0180 | -0.783 | 0.66 | 0.82 | 0.74 | ||

CLM5_CRUNCEP | [-] | 17.8 | 17.3 | 0.314 | 17.3 | 0.0180 | 0.419 | 0.69 | 0.92 | 0.80 | ||

CLM5_GSWP3 | [-] | 12.0 | 11.6 | 0.244 | 17.3 | 0.0180 | -1.06 | 0.65 | 0.85 | 0.75 |

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 | [-] | 1.52 | ||||||||||

CLM4.5_CRUNCEP | [-] | 34.8 | 1.47 | 33.5 | 1.46 | 0.0621 | 1.42 | 0.60 | 0.76 | 0.68 | ||

CLM4.5_GSWP3 | [-] | 28.1 | 1.14 | 27.2 | 1.46 | 0.0621 | -0.184 | 0.55 | 0.62 | 0.59 | ||

CLM4_CRUNCEP | [-] | 25.1 | 1.02 | 24.2 | 1.46 | 0.0621 | -0.890 | 0.48 | 0.68 | 0.58 | ||

CLM4_GSWP3 | [-] | 16.3 | 0.518 | 15.9 | 1.46 | 0.0621 | -3.45 | 0.43 | 0.41 | 0.42 | ||

CLM5_CRUNCEP | [-] | 56.8 | 2.46 | 54.5 | 1.46 | 0.0621 | 7.01 | 0.56 | 0.88 | 0.72 | ||

CLM5_GSWP3 | [-] | 43.6 | 1.80 | 42.0 | 1.46 | 0.0621 | 3.72 | 0.65 | 0.90 | 0.77 |

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 | [-] | 9.78 | ||||||||||

CLM4.5_CRUNCEP | [-] | 3.42 | 3.26 | 0.205 | 9.71 | 0.0683 | -1.67 | 0.47 | 0.26 | 0.37 | ||

CLM4.5_GSWP3 | [-] | 2.99 | 2.84 | 0.195 | 9.71 | 0.0683 | -1.78 | 0.46 | 0.21 | 0.34 | ||

CLM4_CRUNCEP | [-] | 5.11 | 4.98 | 0.169 | 9.71 | 0.0683 | -1.19 | 0.55 | 0.42 | 0.48 | ||

CLM4_GSWP3 | [-] | 4.00 | 3.89 | 0.164 | 9.71 | 0.0683 | -1.53 | 0.50 | 0.22 | 0.36 | ||

CLM5_CRUNCEP | [-] | 3.49 | 3.35 | 0.157 | 9.71 | 0.0683 | -1.61 | 0.49 | 0.57 | 0.53 | ||

CLM5_GSWP3 | [-] | 3.04 | 2.93 | 0.149 | 9.71 | 0.0683 | -1.73 | 0.48 | 0.41 | 0.45 |

** 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