Boreal North America Central America Global - Land Temperate North America

	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]
Benchmark	[-]	2.76
CESM2	[-]	46.8	7.21	39.8	2.66	0.105		4.11		0.428	0.836	0.632
CMCC-ESM2	[-]	27.5	3.79	23.8	2.56	0.206		0.928		0.520	0.461	0.490
ELM_CN	[-]	30.6	4.30	26.3	2.59	0.170		1.38		0.520	0.474	0.497
ELM_CNP	[-]	29.6	4.25	25.3	2.59	0.170		1.33		0.515	0.478	0.496
IPSL-CM6A-LR	[-]	15.5	2.48	13.3	2.66	0.110		0.273		0.543	0.560	0.551
MPI-ESM1-2-LR	[-]	24.8	4.10	21.9	2.52	0.241		1.18		0.559	0.674	0.617

	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]
Benchmark	[-]	0.878
CESM2	[-]	8.60	0.448	7.95	0.588	0.00736		0.400		0.586	0.831	0.708
CMCC-ESM2	[-]	8.39	0.721	7.25	0.585	0.0109		0.168		0.624	0.759	0.692
ELM_CN	[-]	11.4	1.72	9.72	0.825	0.0537		2.24		0.625	0.832	0.729
ELM_CNP	[-]	11.0	1.64	9.39	0.825	0.0537		1.99		0.642	0.864	0.753
IPSL-CM6A-LR	[-]	6.89	0.814	6.68	0.842	0.0362		1.20		0.585	0.825	0.705
MPI-ESM1-2-LR	[-]	5.70	1.44	5.22	0.681	0.197		2.13		0.619	0.855	0.737

	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]
Benchmark	[-]	30.1
CESM2	[-]	489.	22.4	465.	29.9	0.176		-0.479		0.574	0.772	0.673
CMCC-ESM2	[-]	437.	21.3	413.	29.9	0.248		-0.938		0.573	0.646	0.609
ELM_CN	[-]	622.	32.0	590.	29.6	0.521		0.315		0.662	0.779	0.720
ELM_CNP	[-]	569.	31.5	538.	29.6	0.521		0.248		0.663	0.771	0.717
IPSL-CM6A-LR	[-]	313.	15.1	296.	29.8	0.329		-1.32		0.560	0.445	0.502
MPI-ESM1-2-LR	[-]	387.	28.3	358.	29.0	1.09		-0.0553		0.614	0.545	0.580

	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]
Benchmark	[-]	26.5
CESM2	[-]	24.5	14.8	9.49	26.7	0.0803		-1.38		0.588	0.700	0.644
CMCC-ESM2	[-]	26.7	16.8	9.45	26.7	0.0692		-1.34		0.576	0.674	0.625
ELM_CN	[-]	34.1	26.0	8.09	26.2	0.322		-0.000797		0.677	0.807	0.742
ELM_CNP	[-]	33.6	25.6	8.00	26.2	0.322		-0.0594		0.678	0.801	0.740
IPSL-CM6A-LR	[-]	16.1	11.8	3.59	26.3	0.188		-1.79		0.561	0.420	0.490
MPI-ESM1-2-LR	[-]	33.3	22.7	8.77	25.8	0.682		-0.401		0.619	0.517	0.568

Australia Boreal Asia Boreal North America Central America Central Asia Equatorial Asia Europe Global - Land Middle East Northern Hemisphere Africa Northern Hemisphere South America Southeast Asia Southern Hemisphere Africa Southern Hemisphere South America Temperate North America 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