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	[-]	30.1
Fullgrid	[-]	645.	32.3	30.0	605.	0.0999		0.808		0.357	0.859	0.608
Sparsegrid	[-]	801.	35.5	30.0	745.	0.0999		0.594		0.356	0.840	0.598

	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	[-]	1.44
Fullgrid	[-]	12.7	3.61	1.44	8.51	7.22e-05		2.53		0.244	0.549	0.397
Sparsegrid	[-]	16.1	4.01	1.44	11.8	7.22e-05		2.06		0.251	0.516	0.383

	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	[-]	0.00649
Fullgrid	[-]	14.1	0.0550	0.00649	13.2			0.761		0.0359	0.456	0.246
Sparsegrid	[-]	24.5	0.0677	0.00649	22.3			0.815		0.0772	0.178	0.127

	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	[-]	17.4
Fullgrid	[-]	22.4	21.6	17.3	0.626	0.0207		1.64		0.445	0.929	0.687
Sparsegrid	[-]	26.6	23.1	17.3	1.86	0.0207		1.40		0.438	0.893	0.666

	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	[-]	1.52
Fullgrid	[-]	43.0	1.56	1.44	41.4	0.0790		2.65		0.350	0.825	0.588
Sparsegrid	[-]	48.0	1.98	1.44	46.0	0.0790		2.43		0.352	0.829	0.590

	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	[-]	9.78
Fullgrid	[-]	5.60	5.44	9.78	0.425	0.000133		-0.883		0.301	0.732	0.517
Sparsegrid	[-]	6.53	6.32	9.78	1.38	0.000133		-0.993		0.303	0.738	0.520

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