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
Control	[-]	584.	31.0	29.9	551.	0.176		0.518		0.379	0.829	0.604
Randomized	[-]	599.	31.1	29.9	566.	0.176		0.529		0.376	0.827	0.601

	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
Control	[-]	17.6	6.76	1.41	10.8	0.0279		4.85		0.0870	0.288	0.187
Randomized	[-]	17.8	6.88	1.41	10.9	0.0279		4.96		0.0842	0.284	0.184

	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
Control	[-]	13.5	0.0270	0.00649	13.1			0.291		0.0459	0.767	0.407
Randomized	[-]	13.8	0.0283	0.00649	13.4			0.309		0.0490	0.770	0.410

	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
Control	[-]	18.8	18.3	17.3	0.324	0.0180		0.721		0.527	0.906	0.716
Randomized	[-]	18.7	18.3	17.3	0.327	0.0180		0.705		0.526	0.906	0.716

	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
Control	[-]	51.3	1.63	1.46	49.7	0.0621		2.88		0.362	0.866	0.614
Randomized	[-]	51.4	1.63	1.46	49.9	0.0621		2.85		0.362	0.866	0.614

	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
Control	[-]	4.40	4.28	9.71	0.156	0.0683		-1.35		0.317	0.570	0.443
Randomized	[-]	4.46	4.33	9.71	0.165	0.0683		-1.34		0.312	0.565	0.438

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