Globe 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	[-]	26.2
CESM2_1_001	[-]	487.	11.3	475.	26.1	0.0878		-1.58		0.548	0.705	0.626
CESM2_1_002	[-]	487.	11.3	476.	26.1	0.0878		-1.58		0.549	0.709	0.629
CESM2_1_003	[-]	487.	11.3	475.	26.1	0.0878		-1.58		0.548	0.704	0.626
CRUJRA	[-]	626.	21.9	604.	26.1	0.0878		-0.225		0.626	0.879	0.753
GSWP3	[-]	491.	15.4	475.	26.1	0.0878		-1.07		0.598	0.789	0.694
LENS1	[-]	552.	22.8	529.	26.1	0.0878		-0.168		0.658	0.832	0.745
LENS10	[-]	552.	22.5	529.	26.1	0.0878		-0.200		0.655	0.833	0.744
LENS5	[-]	554.	22.5	532.	26.1	0.0878		-0.197		0.657	0.834	0.745
PRINCETON	[-]	714.	26.6	688.	26.1	0.0878		0.352		0.649	0.895	0.772

	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	[-]	0.00338
CESM2_1_001	[-]	9.84	0.0225	9.59	0.00338			0.281		0.268	0.379	0.324
CESM2_1_002	[-]	9.95	0.0205	9.70	0.00338			0.260		0.273	0.400	0.336
CESM2_1_003	[-]	10.0	0.0214	9.76	0.00338			0.272		0.271	0.378	0.324
CRUJRA	[-]	12.4	0.0328	12.1	0.00338			0.460		0.213	0.231	0.222
GSWP3	[-]	10.2	0.0258	9.96	0.00338			0.332		0.264	0.355	0.309
LENS1	[-]	13.9	0.0288	13.7	0.00338			0.329		0.612	0.527	0.569
LENS10	[-]	13.7	0.0267	13.4	0.00338			0.294		0.540	0.519	0.530
LENS5	[-]	13.7	0.0250	13.4	0.00338			0.276		0.583	0.559	0.571
PRINCETON	[-]	13.7	0.0283	13.4	0.00338			0.377		0.257	0.286	0.271

	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	[-]	17.5
CESM2_1_001	[-]	9.53	9.26	0.194	17.4	0.0333		-1.69		0.599	0.870	0.735
CESM2_1_002	[-]	9.58	9.30	0.195	17.4	0.0333		-1.68		0.600	0.874	0.737
CESM2_1_003	[-]	9.50	9.22	0.193	17.4	0.0333		-1.70		0.598	0.871	0.735
CRUJRA	[-]	18.0	17.6	0.288	17.4	0.0333		0.438		0.688	0.928	0.808
GSWP3	[-]	11.9	11.6	0.234	17.4	0.0333		-1.09		0.647	0.882	0.764
LENS1	[-]	18.8	18.3	0.327	17.4	0.0333		0.592		0.735	0.939	0.837
LENS10	[-]	18.6	18.1	0.323	17.4	0.0333		0.550		0.732	0.938	0.835
LENS5	[-]	18.6	18.1	0.327	17.4	0.0333		0.556		0.734	0.939	0.836
PRINCETON	[-]	19.2	18.8	0.305	17.4	0.0333		0.728		0.684	0.914	0.799

	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	[-]	0.222
CESM2_1_001	[-]	35.2	0.369	34.6	0.222			2.19		0.483	0.642	0.563
CESM2_1_002	[-]	35.5	0.373	34.9	0.222			2.24		0.480	0.638	0.559
CESM2_1_003	[-]	35.3	0.370	34.8	0.222			2.19		0.484	0.644	0.564
CRUJRA	[-]	53.4	0.823	52.6	0.222			7.05		0.301	0.461	0.381
GSWP3	[-]	44.5	0.608	44.1	0.222			4.70		0.409	0.634	0.521
LENS1	[-]	13.4	0.454	13.1	0.222			2.66		0.472	0.653	0.563
LENS10	[-]	13.4	0.448	13.1	0.222			2.60		0.473	0.657	0.565
LENS5	[-]	13.5	0.460	13.2	0.222			2.72		0.469	0.643	0.556
PRINCETON	[-]	67.0	0.926	66.1	0.222			8.24		0.263	0.379	0.321

	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	[-]	8.47
CESM2_1_001	[-]	1.65	1.64	0.0355	8.42	0.0520		-1.60		0.441	0.294	0.368
CESM2_1_002	[-]	1.66	1.64	0.0353	8.42	0.0520		-1.60		0.442	0.293	0.367
CESM2_1_003	[-]	1.68	1.67	0.0351	8.42	0.0520		-1.59		0.443	0.293	0.368
CRUJRA	[-]	3.44	3.42	0.0606	8.42	0.0520		-1.12		0.505	0.667	0.586
GSWP3	[-]	3.12	3.12	0.0350	8.42	0.0520		-1.21		0.502	0.547	0.525
LENS1	[-]	4.01	4.03	0.0544	8.42	0.0520		-1.05		0.502	0.180	0.341
LENS10	[-]	3.93	3.95	0.0497	8.42	0.0520		-1.07		0.500	0.183	0.342
LENS5	[-]	3.93	3.94	0.0506	8.42	0.0520		-1.07		0.499	0.175	0.337
PRINCETON	[-]	6.93	6.90	0.0567	8.42	0.0520		-0.244		0.588	0.865	0.727

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-NBCD2000.pro Code 2: http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/convert-NBCD2000.ncl Code 3: http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/write-NBCD2000.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 National Biomass and Carbon Dataset for the year 2000 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-NBCD2000.pro http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/convert-NBCD2000.ncl http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/write-NBCD2000.ncl