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	[-]	0.797
bcc-csm1-1	[-]	13.5	1.30	11.8	0.793			1.70		0.619	0.764	0.691
bcc-csm1-1-m	[-]	9.37	0.771	8.61	0.630	0.000376		0.431		0.591	0.685	0.638
CESM1-BGC	[-]	8.85	0.656	8.18	0.538	0.0190		1.09		0.580	0.796	0.688
E3SMv1-CTC	[-]	6.94	0.994	6.42	0.797	5.49e-05		1.24		0.623	0.803	0.713
E3SMv1-ECA	[-]	6.55	1.03	5.84	0.797	5.49e-05		1.34		0.530	0.766	0.648
GFDL-ESM2G	[-]	16.9	1.49	15.4	0.683			3.32		0.493	0.735	0.614
inmcm4	[-]	16.4	4.04	14.3	0.650	0.147		7.79		0.130	0.210	0.170
IPSL-CM5A-LR	[-]	5.47	1.10	4.29	0.644	0.0240		2.86		0.360	0.465	0.413
MeanCMIP5	[-]	9.38	1.39	8.56	0.797			2.12		0.545	0.857	0.701
MIROC-ESM	[-]	4.39	0.896	3.00	0.467	0.326		1.02		0.450	0.649	0.549
MPI-ESM-LR	[-]	4.67	0.403	4.44	0.562	0.235		-0.317		0.601	0.720	0.661
NorESM1-ME	[-]	6.79	0.554	6.31	0.668			0.854		0.581	0.832	0.707

	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
bcc-csm1-1	[-]	476.	24.3	444.	26.2			0.00925		0.588	0.428	0.508
bcc-csm1-1-m	[-]	385.	19.8	364.	26.0	0.135		-0.694		0.556	0.462	0.509
CESM1-BGC	[-]	529.	18.6	509.	26.1	0.0852		-0.733		0.643	0.779	0.711
E3SMv1-CTC	[-]	582.	24.7	557.	26.2			0.0695		0.694	0.735	0.715
E3SMv1-ECA	[-]	378.	18.9	360.	26.2			-0.665		0.611	0.627	0.619
GFDL-ESM2G	[-]	655.	20.6	626.	26.2			-0.454		0.563	0.581	0.572
inmcm4	[-]	603.	58.3	547.	25.2	0.941		4.21		0.452	0.773	0.613
IPSL-CM5A-LR	[-]	622.	38.2	573.	26.1	0.0250		2.12		0.532	0.793	0.662
MeanCMIP5	[-]	500.	26.2	474.	26.2			0.280		0.673	0.659	0.666
MIROC-ESM	[-]	349.	19.9	327.	22.4	3.79		-0.325		0.587	0.673	0.630
MPI-ESM-LR	[-]	335.	10.6	322.	25.3	0.852		-1.87		0.518	0.225	0.371
NorESM1-ME	[-]	548.	23.7	517.	26.2			-0.0361		0.630	0.824	0.727

	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	[-]	25.4
bcc-csm1-1	[-]	30.2	23.1	6.94	25.4			-0.103		0.587	0.423	0.505
bcc-csm1-1-m	[-]	23.7	19.0	5.75	25.4	0.137		-0.767		0.556	0.457	0.506
CESM1-BGC	[-]	23.1	18.0	5.01	25.6	0.0688		-0.840		0.644	0.776	0.710
E3SMv1-CTC	[-]	30.8	23.8	6.53	25.4			-0.00839		0.696	0.736	0.716
E3SMv1-ECA	[-]	22.3	17.8	4.13	25.4			-0.802		0.614	0.628	0.621
GFDL-ESM2G	[-]	25.8	19.1	5.03	25.5			-0.704		0.565	0.560	0.563
inmcm4	[-]	67.6	54.3	13.9	24.6	0.797		4.00		0.461	0.799	0.630
IPSL-CM5A-LR	[-]	49.4	37.2	15.2	25.5	0.00123		2.08		0.536	0.796	0.666
MeanCMIP5	[-]	33.0	24.8	7.63	25.4			0.149		0.677	0.648	0.662
MIROC-ESM	[-]	26.6	19.0	7.13	21.9	3.46		-0.401		0.590	0.663	0.627
MPI-ESM-LR	[-]	14.2	10.2	3.45	24.8	0.620		-1.95		0.516	0.216	0.366
NorESM1-ME	[-]	28.9	23.2	6.38	25.5			-0.0926		0.631	0.824	0.727

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-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