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 | ||||||||||

CRUNCEPv7 | [-] | 589. | 29.0 | 560. | 29.9 | 0.195 | 0.319 | 0.597 | 0.839 | 0.718 | ||

GSWP3v1 | [-] | 487. | 22.3 | 465. | 29.9 | 0.195 | -0.481 | 0.575 | 0.774 | 0.674 | ||

WATCH | [-] | 505. | 22.6 | 483. | 29.9 | 0.195 | -0.504 | 0.607 | 0.739 | 0.673 |

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 | ||||||||||

CRUNCEPv7 | [-] | 16.4 | 5.84 | 10.4 | 1.41 | 0.0279 | 4.22 | 0.263 | 0.351 | 0.307 | ||

GSWP3v1 | [-] | 14.5 | 5.95 | 8.42 | 1.41 | 0.0279 | 4.18 | 0.208 | 0.467 | 0.337 | ||

WATCH | [-] | 11.4 | 4.46 | 6.77 | 1.41 | 0.0279 | 2.85 | 0.313 | 0.550 | 0.432 |

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] |
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Overall Score [1] |
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Benchmark | [-] | 0.00649 | ||||||||||

CRUNCEPv7 | [-] | 11.9 | 0.0238 | 11.6 | 0.00649 | 0.192 | 0.544 | 0.674 | 0.609 | |||

GSWP3v1 | [-] | 10.2 | 0.0250 | 9.91 | 0.00649 | 0.233 | 0.584 | 0.753 | 0.668 | |||

WATCH | [-] | 10.8 | 0.0311 | 10.6 | 0.00649 | 0.336 | 0.775 | 0.783 | 0.779 |

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] |
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Overall Score [1] |
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Benchmark | [-] | 17.4 | ||||||||||

CRUNCEPv7 | [-] | 17.8 | 17.3 | 0.314 | 17.3 | 0.0180 | 0.419 | 0.686 | 0.919 | 0.803 | ||

GSWP3v1 | [-] | 12.0 | 11.6 | 0.244 | 17.3 | 0.0180 | -1.06 | 0.651 | 0.854 | 0.753 | ||

WATCH | [-] | 13.9 | 13.5 | 0.233 | 17.3 | 0.0180 | -0.616 | 0.698 | 0.861 | 0.780 |

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

CRUNCEPv7 | [-] | 56.8 | 2.46 | 54.5 | 1.46 | 0.0621 | 7.01 | 0.557 | 0.882 | 0.720 | ||

GSWP3v1 | [-] | 43.6 | 1.80 | 42.0 | 1.46 | 0.0621 | 3.72 | 0.646 | 0.903 | 0.774 | ||

WATCH | [-] | 38.9 | 1.31 | 37.8 | 1.46 | 0.0621 | 1.14 | 0.645 | 0.737 | 0.691 |

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] |
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Overall Score [1] |
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Benchmark | [-] | 9.78 | ||||||||||

CRUNCEPv7 | [-] | 3.49 | 3.35 | 0.157 | 9.71 | 0.0683 | -1.61 | 0.492 | 0.568 | 0.530 | ||

GSWP3v1 | [-] | 3.04 | 2.93 | 0.149 | 9.71 | 0.0683 | -1.73 | 0.481 | 0.415 | 0.448 | ||

WATCH | [-] | 3.35 | 3.21 | 0.171 | 9.71 | 0.0683 | -1.67 | 0.479 | 0.430 | 0.455 |

** 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