Global - Land High Latitude Temperate Latitudes

	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
BCC-CSM2-MR	[-]	362.	21.1	21.3	341.	0.143		0.0934		0.640	0.849	0.744
BGCv2LND.GSW	[-]	666.	33.0	21.4	633.	0.0420		1.25		0.553	0.873	0.713
BGCv2LNDATM	[-]	704.	27.5	21.4	677.	0.0420		0.659		0.626	0.855	0.740
CanESM5	[-]	505.	31.9	21.5	465.			1.61		0.531	0.814	0.672
MeanCMIP6	[-]	447.	29.1	21.5	418.			1.17		0.639	0.890	0.765
MIROC-ES2L	[-]	499.	34.5	21.5	455.	0.000128		1.83		0.533	0.800	0.667

	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	[-]	1.98
BCC-CSM2-MR	[-]	77.9	2.19	1.94	78.6	0.0406		0.349		0.555	0.841	0.698
BGCv2LND.GSW	[-]	97.2	4.28	1.93	92.9	0.0418		1.70		0.486	0.659	0.572
BGCv2LNDATM	[-]	73.4	3.08	1.93	70.3	0.0418		0.830		0.534	0.478	0.506
CanESM5	[-]	83.7	0.654	1.98	84.2			-0.541		0.533	0.793	0.663
MeanCMIP6	[-]	82.2	1.68	1.98	80.6			0.0721		0.614	0.848	0.731
MIROC-ES2L	[-]	84.1	2.55	1.98	82.7			0.532		0.545	0.816	0.681

	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	[-]	17.0
BCC-CSM2-MR	[-]	126.	15.1	16.9	110.	0.158		-0.129		0.635	0.814	0.725
BGCv2LND.GSW	[-]	151.	24.8	17.0	126.	0.0468		1.12		0.534	0.867	0.700
BGCv2LNDATM	[-]	122.	20.9	17.0	101.	0.0468		0.561		0.620	0.823	0.721
CanESM5	[-]	137.	22.5	17.0	119.			1.13		0.545	0.834	0.689
MeanCMIP6	[-]	137.	20.6	17.0	117.			0.777		0.664	0.868	0.766
MIROC-ES2L	[-]	149.	24.8	17.0	128.	0.000128		1.41		0.552	0.816	0.684

Equatorial Africa Equatorial Asia Global - Land High Latitude South America - Amazon Temperate Latitudes 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