Equatorial Africa Equatorial Asia Global - Land South America - Amazon

	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	[-]	60.7
bcc-csm1-1	[-]	68.4	66.4	60.6	1.72	0.0125		0.677		0.485	0.927	0.706
BCC-CSM2-MR	[-]	49.7	49.1	60.6	0.265	0.0497		-0.838		0.546	0.948	0.747
CanESM2	[-]	106.	103.	60.7	2.26			3.17		0.326	0.838	0.582
CanESM5	[-]	94.3	91.8	60.7	1.96			2.70		0.369	0.892	0.630
CESM1-BGC	[-]	110.	109.	60.6	0.394	0.106		3.87		0.445	0.444	0.445
CESM2	[-]	64.2	63.2	60.6	0.380	0.106		0.338		0.431	0.823	0.627
GFDL-ESM2G	[-]	95.1	96.3	60.7	1.51			3.09		0.305	0.841	0.573
GFDL-ESM4	[-]	47.0	43.7	60.7	3.22			-1.29		0.429	0.874	0.651
IPSL-CM5A-LR	[-]	77.9	74.7	60.6	2.75	0.0419		1.43		0.476	0.806	0.641
IPSL-CM6A-LR	[-]	59.8	59.6	60.6	0.516	0.0641		0.0553		0.550	0.958	0.754
MeanCMIP5	[-]	93.9	86.2	60.5	7.72	0.172		1.97		0.451	0.888	0.669
MeanCMIP6	[-]	66.6	66.0	60.7	0.610			0.639		0.564	0.967	0.766
MIROC-ESM	[-]	45.5	44.9	57.4	0.402	3.28		-1.02		0.426	0.680	0.553
MIROC-ESM2L	[-]	80.1	76.8	60.6	2.92	0.0106		1.56		0.363	0.905	0.634
MPI-ESM-LR	[-]	65.3	64.5	58.0	0.154	2.69		0.558		0.485	0.932	0.708
NorESM1-ME	[-]	121.	118.	60.7	1.97			4.71		0.424	0.403	0.414
NorESM2-LM	[-]	53.0	51.3	60.7	1.05			-0.470		0.426	0.860	0.643
UK-HadGEM2-ES	[-]	59.8	60.3	60.6	0.694	0.0423		0.227		0.412	0.907	0.659
UKESM1-0-LL	[-]	67.8	66.3	60.6	0.521	0.0599		0.617		0.392	0.901	0.647

	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	[-]	37.8
bcc-csm1-1	[-]	29.2	22.8	37.6	6.14	0.225		1.39		0.367	0.637	0.502
BCC-CSM2-MR	[-]	28.7	26.6	37.0	1.84	0.817		-0.756		0.411	0.908	0.660
CanESM2	[-]	60.8	47.4	37.8	13.0			1.95		0.349	0.771	0.560
CanESM5	[-]	39.4	30.6	37.8	8.39			5.11		0.380	0.829	0.604
CESM1-BGC	[-]	73.4	69.7	35.8	4.09	1.99		17.5		0.0589	0.813	0.436
CESM2	[-]	45.5	43.4	35.8	2.30	1.99		7.00		0.283	0.931	0.607
GFDL-ESM2G	[-]	46.5	38.9	37.8	8.64			8.09		0.301	0.901	0.601
GFDL-ESM4	[-]	64.8	43.5	37.8	21.3			1.21		0.352	0.857	0.604
IPSL-CM5A-LR	[-]	66.0	49.3	36.6	14.0	1.28		13.8		0.104	0.893	0.499
IPSL-CM6A-LR	[-]	26.9	23.5	37.2	3.99	0.603		1.22		0.335	0.586	0.461
MeanCMIP5	[-]	122.	77.1	37.8	44.8			8.29		0.259	0.913	0.586
MeanCMIP6	[-]	33.8	30.3	37.8	3.55			3.10		0.435	0.778	0.606
MIROC-ESM	[-]	25.4	21.6	24.8	3.60	13.0		-1.49		0.342	0.613	0.478
MIROC-ESM2L	[-]	27.6	18.5	37.4	8.56	0.377		-0.0280		0.260	0.455	0.357
MPI-ESM-LR	[-]	25.5	23.0	22.8	2.69	15.0		0.0448		0.459	0.756	0.607
NorESM1-ME	[-]	83.2	72.8	37.8	11.5			17.8		0.0974	0.529	0.313
NorESM2-LM	[-]	46.4	40.0	37.8	6.74			7.44		0.272	0.908	0.590
UK-HadGEM2-ES	[-]	38.9	35.2	36.7	4.14	1.14		5.71		0.373	0.641	0.507
UKESM1-0-LL	[-]	40.1	34.4	37.1	4.81	0.773		5.08		0.380	0.513	0.446

	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	[-]	349.
bcc-csm1-1	[-]	475.	324.	349.	144.	0.356		0.349		0.385	0.831	0.608
BCC-CSM2-MR	[-]	385.	245.	347.	139.	1.74		-1.22		0.430	0.901	0.666
CanESM2	[-]	529.	326.	349.	190.			-0.340		0.342	0.818	0.580
CanESM5	[-]	509.	332.	349.	168.			0.690		0.323	0.868	0.596
CESM1-BGC	[-]	530.	445.	347.	82.5	2.11		2.11		0.359	0.556	0.458
CESM2	[-]	485.	327.	347.	156.	2.11		0.293		0.381	0.821	0.601
GFDL-ESM2G	[-]	655.	403.	349.	243.			1.76		0.303	0.853	0.578
GFDL-ESM4	[-]	405.	201.	349.	204.			-2.07		0.349	0.832	0.590
IPSL-CM5A-LR	[-]	622.	299.	347.	312.	1.45		0.341		0.381	0.772	0.577
IPSL-CM6A-LR	[-]	350.	278.	347.	69.7	1.46		-0.491		0.420	0.925	0.673
MeanCMIP5	[-]	605.	397.	349.	208.	0.175		0.671		0.418	0.904	0.661
MeanCMIP6	[-]	459.	320.	349.	139.			0.250		0.442	0.944	0.693
MIROC-ESM	[-]	350.	210.	318.	137.	30.5		-1.72		0.378	0.694	0.536
MIROC-ESM2L	[-]	519.	327.	348.	182.	0.459		0.355		0.335	0.878	0.606
MPI-ESM-LR	[-]	335.	250.	319.	83.1	30.2		-1.08		0.360	0.860	0.610
NorESM1-ME	[-]	548.	440.	349.	99.8			2.30		0.342	0.508	0.425
NorESM2-LM	[-]	462.	314.	349.	143.			0.369		0.373	0.834	0.604
UK-HadGEM2-ES	[-]	453.	349.	347.	102.	1.94		0.726		0.341	0.883	0.612
UKESM1-0-LL	[-]	545.	414.	347.	128.	1.80		1.79		0.311	0.862	0.586

	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	[-]	100.
bcc-csm1-1	[-]	71.7	68.0	100.	0.415	0.0375		-3.43		0.335	0.830	0.582
BCC-CSM2-MR	[-]	76.8	76.6	100.	0.174	0.132		-2.63		0.379	0.872	0.626
CanESM2	[-]	41.7	37.3	100.	0.310			-7.35		0.233	0.796	0.514
CanESM5	[-]	60.1	55.9	100.	0.358			-4.83		0.299	0.867	0.583
CESM1-BGC	[-]	151.	150.	100.	0.210	0.0690		6.15		0.165	0.526	0.346
CESM2	[-]	130.	129.	100.	0.323	0.0690		3.73		0.257	0.848	0.552
GFDL-ESM2G	[-]	73.9	74.9	100.	0.482			-2.60		0.359	0.898	0.629
GFDL-ESM4	[-]	57.1	56.3	100.	0.852			-5.12		0.218	0.732	0.475
IPSL-CM5A-LR	[-]	88.9	87.5	100.	0.590	0.0315		-1.02		0.361	0.865	0.613
IPSL-CM6A-LR	[-]	101.	100.	100.	0.382	0.0642		0.347		0.545	0.966	0.756
MeanCMIP5	[-]	91.9	90.2	100.	1.66			-1.16		0.429	0.942	0.686
MeanCMIP6	[-]	99.7	99.3	100.	0.463			0.299		0.550	0.866	0.708
MIROC-ESM	[-]	50.8	48.6	99.2	0.313	1.00		-6.10		0.239	0.780	0.510
MIROC-ESM2L	[-]	91.6	87.3	100.	0.962	0.0329		-1.07		0.402	0.802	0.602
MPI-ESM-LR	[-]	56.5	55.2	98.2	0.139	1.93		-5.33		0.261	0.893	0.577
NorESM1-ME	[-]	141.	140.	100.	0.786			5.04		0.158	0.512	0.335
NorESM2-LM	[-]	130.	128.	100.	0.902			3.99		0.292	0.925	0.608
UK-HadGEM2-ES	[-]	122.	122.	100.	0.354	0.0350		2.96		0.363	0.964	0.664
UKESM1-0-LL	[-]	114.	114.	100.	0.457	0.153		2.16		0.441	0.888	0.665

Equatorial Africa Equatorial Asia Global - Land High Latitudes South America - Amazon Temporally integrated period mean Temporally integrated period mean bias Temporally integrated period mean bias score

  Title:

Global Tropical Forest Biomass

  Institution:

NASA-JPL (NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California 91109, USA)

  Source:

4079 in situ inventory plots, satellite light detection and ranging (LiDAR) samples of forest structure, and optical and microwave imagery (1-km resolution) to extrapolate estimates

  History:

2015-01-08-T06:37:41Z Converted from 1 km x 1 km to 0.5 degree x 0.5 degree by Mingquan Mu (mmu@uci.edu) on Fri Jan 9 10:37:41 PST 2015

  References:

Saatchi, S. S., N. L. Harris, S. Brown, M. Lefsky, E. T. A. Mitchard, W. Salas, B. R. Zutta, W. Buermann, S. L. Lewis, S. Hagen, S. Petrova, L. White, M. Silman, and A. Morel (2011), Benchmark map of forest carbon stocks in tropical regions across three continents, Proc. Nat. Acad. Sci., 108(24):9899-9904, doi:10.1073/pnas.1019576108.

  Conventions:

CF-1.6

  Institute_id:

NASA-JPL

  Creation_date:

2015-01-08-T06:37:41Z

  Product:

observations

  Data_structure:

grid

  Realm:

land

  Contact:

Prof. James T. Randerson (jranders@uci.edu) or Dr. Mingquan Mu (mmu@uci.edu)