Global - Land North America - Alaska and Northern Canada North America - Central America North America - Eastern United States North America - Southern Canada North America - Western United States

	Download Data	Period Mean (original grids) [Pg]	Model Period Mean (intersection) [Pg]	Benchmark Period Mean (intersection) [Pg]	Model Period Mean (complement) [Pg]	Benchmark Period Mean (complement) [Pg]		Bias [kg m-2]		Bias Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	21.5
I123pd	[-]	462.	25.8	21.5	435.	0.000110		0.817		0.373	0.892	0.632
post5.4	[-]	471.	26.2	21.5	444.	0.000110		0.876		0.368	0.893	0.630

	Download Data	Period Mean (original grids) [Pg]	Model Period Mean (intersection) [Pg]	Benchmark Period Mean (intersection) [Pg]	Model Period Mean (complement) [Pg]	Benchmark Period Mean (complement) [Pg]		Bias [kg m-2]		Bias Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	1.03
I123pd	[-]	6.34	2.06	1.03	4.14	4.61e-06		1.35		0.312	0.529	0.420
post5.4	[-]	6.59	2.17	1.03	4.27	4.61e-06		1.45		0.301	0.522	0.412

	Download Data	Period Mean (original grids) [Pg]	Model Period Mean (intersection) [Pg]	Benchmark Period Mean (intersection) [Pg]	Model Period Mean (complement) [Pg]	Benchmark Period Mean (complement) [Pg]		Bias [kg m-2]		Bias Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	0.00463
I123pd	[-]	10.9	0.0366	0.00463	10.5			0.462		0.0424	0.741	0.392
post5.4	[-]	11.0	0.0369	0.00463	10.6			0.466		0.0423	0.745	0.394

	Download Data	Period Mean (original grids) [Pg]	Model Period Mean (intersection) [Pg]	Benchmark Period Mean (intersection) [Pg]	Model Period Mean (complement) [Pg]	Benchmark Period Mean (complement) [Pg]		Bias [kg m-2]		Bias Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	12.4
I123pd	[-]	17.3	16.8	12.4	0.344	4.70e-05		1.45		0.458	0.912	0.685
post5.4	[-]	17.5	17.0	12.4	0.344	4.70e-05		1.52		0.452	0.909	0.680

	Download Data	Period Mean (original grids) [Pg]	Model Period Mean (intersection) [Pg]	Benchmark Period Mean (intersection) [Pg]	Model Period Mean (complement) [Pg]	Benchmark Period Mean (complement) [Pg]		Bias [kg m-2]		Bias Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	1.09
I123pd	[-]	27.7	1.17	1.09	26.6			1.41		0.356	0.780	0.568
post5.4	[-]	27.4	1.16	1.09	26.4			1.38		0.354	0.781	0.567

	Download Data	Period Mean (original grids) [Pg]	Model Period Mean (intersection) [Pg]	Benchmark Period Mean (intersection) [Pg]	Model Period Mean (complement) [Pg]	Benchmark Period Mean (complement) [Pg]		Bias [kg m-2]		Bias Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	6.98
I123pd	[-]	5.93	5.72	6.98	0.290	5.81e-05		-0.129		0.303	0.836	0.570
post5.4	[-]	6.04	5.83	6.98	0.294	5.81e-05		-0.0929		0.302	0.848	0.575

Africa - Central Africa - Sahel Africa - South Asia - East Siberia Asia - Indonesia Asia - North Central Asia - South Central Asia and China Asia - Southeast Asia and India Asia - West Siberia Australia Europe Global - Land Middle East and Sahara North America - Alaska and Northern Canada North America - Central America North America - Eastern United States North America - Southern Canada North America - Western United States South America - Amazon South America - Southeast South America - Southwest Temporally integrated period mean Temporally integrated period mean bias Temporally integrated period mean bias score

  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