Globe 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]	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
CLM4.5_CRUNCEP	[-]	560.	27.8	532.	29.9	0.195		0.0652		0.60	0.83	0.71
CLM4.5_GSWP3	[-]	453.	21.1	432.	29.9	0.195		-0.690		0.58	0.72	0.65
CLM4_CRUNCEP	[-]	582.	22.9	559.	29.9	0.195		-0.538		0.61	0.77	0.69
CLM4_GSWP3	[-]	467.	18.2	448.	29.9	0.195		-1.10		0.59	0.59	0.59
CLM5_CRUNCEP	[-]	589.	29.0	560.	29.9	0.195		0.319		0.60	0.84	0.72
CLM5_GSWP3	[-]	487.	22.3	465.	29.9	0.195		-0.481		0.58	0.77	0.67

	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	[-]	1.44
CLM4.5_CRUNCEP	[-]	9.20	3.15	5.91	1.41	0.0279		1.69		0.48	0.80	0.64
CLM4.5_GSWP3	[-]	7.93	2.85	4.96	1.41	0.0279		1.42		0.54	0.87	0.71
CLM4_CRUNCEP	[-]	4.27	0.825	3.37	1.41	0.0279		-0.354		0.50	0.65	0.57
CLM4_GSWP3	[-]	3.07	0.712	2.34	1.41	0.0279		-0.483		0.52	0.48	0.50
CLM5_CRUNCEP	[-]	16.4	5.84	10.4	1.41	0.0279		4.22		0.26	0.35	0.31
CLM5_GSWP3	[-]	14.5	5.95	8.42	1.41	0.0279		4.18		0.21	0.47	0.34

	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	[-]	0.00649
CLM4.5_CRUNCEP	[-]	11.4	0.0173	11.1	0.00649	0.00		0.148		0.56	0.79	0.68
CLM4.5_GSWP3	[-]	8.49	0.0210	8.21	0.00649	0.00		0.191		0.60	0.79	0.70
CLM4_CRUNCEP	[-]	5.39	0.00905	5.08	0.00649	0.00		0.00778		0.43	0.095	0.26
CLM4_GSWP3	[-]	4.65	0.0130	4.37	0.00649	0.00		0.0455		0.42	0.091	0.26
CLM5_CRUNCEP	[-]	11.9	0.0238	11.6	0.00649	0.00		0.192		0.54	0.67	0.61
CLM5_GSWP3	[-]	10.2	0.0250	9.91	0.00649	0.00		0.233		0.58	0.75	0.67

	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	[-]	17.4
CLM4.5_CRUNCEP	[-]	20.4	19.9	0.343	17.3	0.0180		1.01		0.68	0.91	0.80
CLM4.5_GSWP3	[-]	14.7	14.2	0.283	17.3	0.0180		-0.425		0.66	0.91	0.78
CLM4_CRUNCEP	[-]	16.4	16.0	0.277	17.3	0.0180		-0.0107		0.67	0.91	0.79
CLM4_GSWP3	[-]	13.4	13.0	0.213	17.3	0.0180		-0.783		0.66	0.82	0.74
CLM5_CRUNCEP	[-]	17.8	17.3	0.314	17.3	0.0180		0.419		0.69	0.92	0.80
CLM5_GSWP3	[-]	12.0	11.6	0.244	17.3	0.0180		-1.06		0.65	0.85	0.75

	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	[-]	1.52
CLM4.5_CRUNCEP	[-]	34.8	1.47	33.5	1.46	0.0621		1.42		0.60	0.76	0.68
CLM4.5_GSWP3	[-]	28.1	1.14	27.2	1.46	0.0621		-0.184		0.55	0.62	0.59
CLM4_CRUNCEP	[-]	25.1	1.02	24.2	1.46	0.0621		-0.890		0.48	0.68	0.58
CLM4_GSWP3	[-]	16.3	0.518	15.9	1.46	0.0621		-3.45		0.43	0.41	0.42
CLM5_CRUNCEP	[-]	56.8	2.46	54.5	1.46	0.0621		7.01		0.56	0.88	0.72
CLM5_GSWP3	[-]	43.6	1.80	42.0	1.46	0.0621		3.72		0.65	0.90	0.77

	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	[-]	9.78
CLM4.5_CRUNCEP	[-]	3.42	3.26	0.205	9.71	0.0683		-1.67		0.47	0.26	0.37
CLM4.5_GSWP3	[-]	2.99	2.84	0.195	9.71	0.0683		-1.78		0.46	0.21	0.34
CLM4_CRUNCEP	[-]	5.11	4.98	0.169	9.71	0.0683		-1.19		0.55	0.42	0.48
CLM4_GSWP3	[-]	4.00	3.89	0.164	9.71	0.0683		-1.53		0.50	0.22	0.36
CLM5_CRUNCEP	[-]	3.49	3.35	0.157	9.71	0.0683		-1.61		0.49	0.57	0.53
CLM5_GSWP3	[-]	3.04	2.93	0.149	9.71	0.0683		-1.73		0.48	0.41	0.45

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 Globe 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