Asia - East Siberia Asia - North Central Asia - South Central Asia and China Asia - Southeast Asia and India Asia - West Siberia Europe Global - Land 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

	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	[-]	4.43
CLM5_GSWP3V1	[-]	3.78	3.57	4.36	0.227	0.0705		-0.160		0.569	0.815	0.692
Control	[-]	5.18	5.08	4.36	0.136	0.0705		0.356		0.480	0.713	0.596
Randomized	[-]	5.43	5.32	4.36	0.143	0.0705		0.441		0.465	0.686	0.575

	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	[-]	40.1
CLM5_GSWP3V1	[-]	52.8	51.5	39.9	0.362	0.184		1.47		0.462	0.333	0.397
Control	[-]	69.4	67.8	39.9	0.399	0.184		3.28		0.454	0.396	0.425
Randomized	[-]	69.9	68.3	39.9	0.402	0.184		3.33		0.452	0.396	0.424

	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	[-]	28.0
CLM5_GSWP3V1	[-]	40.8	16.7	27.7	25.0	0.322		-0.949		0.488	0.577	0.532
Control	[-]	45.3	21.6	27.7	24.5	0.322		-0.269		0.523	0.553	0.538
Randomized	[-]	46.1	21.9	27.7	24.9	0.322		-0.218		0.529	0.553	0.541

	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	[-]	0.341
CLM5_GSWP3V1	[-]	30.6	0.0871	0.341	29.5			-1.79		0.458	0.802	0.630
Control	[-]	35.8	0.0258	0.341	35.0			-2.19		0.394	0.137	0.265
Randomized	[-]	35.7	0.0331	0.341	34.9			-2.15		0.404	0.161	0.282

	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	[-]	3.80
CLM5_GSWP3V1	[-]	5.74	5.18	3.79	0.908	0.00634		0.601		0.536	0.573	0.554
Control	[-]	4.15	4.41	3.79	0.119	0.00634		0.306		0.504	0.527	0.516
Randomized	[-]	4.33	4.58	3.79	0.121	0.00634		0.375		0.492	0.522	0.507

	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	[-]	29.4
CLM5_GSWP3V1	[-]	18.4	17.4	28.9	0.627	0.540		-1.27		0.520	0.627	0.574
Control	[-]	25.3	24.1	28.9	0.766	0.540		0.0596		0.548	0.565	0.556
Randomized	[-]	25.6	24.5	28.9	0.776	0.540		0.136		0.549	0.559	0.554

	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	[-]	174.
CLM5_GSWP3V1	[-]	562.	176.	172.	384.	2.04		0.429		0.478	0.558	0.518
Control	[-]	585.	214.	172.	369.	2.04		1.24		0.460	0.515	0.487
Randomized	[-]	598.	216.	172.	380.	2.04		1.28		0.459	0.515	0.487

	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	[-]	4.88
CLM5_GSWP3V1	[-]	1.96	0.737	4.82	1.24	0.0615		-2.69		0.457	0.671	0.564
Control	[-]	2.24	1.03	4.82	1.20	0.0615		-2.53		0.483	0.755	0.619
Randomized	[-]	2.29	1.07	4.82	1.22	0.0615		-2.50		0.488	0.762	0.625

	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	[-]	9.77
CLM5_GSWP3V1	[-]	12.6	12.1	9.60	0.292	0.175		0.592		0.435	0.620	0.528
Control	[-]	17.6	17.3	9.60	0.292	0.175		1.53		0.356	0.397	0.376
Randomized	[-]	17.8	17.5	9.60	0.299	0.175		1.57		0.354	0.393	0.373

	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	[-]	0.211
CLM5_GSWP3V1	[-]	12.1	0.0450	0.210	11.7	0.000277		-1.36		0.494	0.872	0.683
Control	[-]	13.5	0.0371	0.210	13.2	0.000277		-1.38		0.485	0.861	0.673
Randomized	[-]	13.8	0.0400	0.210	13.4	0.000277		-1.36		0.496	0.873	0.684

	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	[-]	16.1
CLM5_GSWP3V1	[-]	17.6	16.5	16.1	0.931	0.0548		0.456		0.581	0.498	0.539
Control	[-]	18.8	17.5	16.1	1.16	0.0548		0.752		0.519	0.387	0.453
Randomized	[-]	18.7	17.4	16.1	1.17	0.0548		0.728		0.523	0.391	0.457

	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	[-]	24.5
CLM5_GSWP3V1	[-]	48.4	48.2	24.0	0.440	0.527		5.08		0.323	0.493	0.408
Control	[-]	51.3	50.9	24.0	0.411	0.527		5.56		0.299	0.461	0.380
Randomized	[-]	51.4	51.1	24.0	0.413	0.527		5.59		0.299	0.464	0.381

	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	[-]	12.8
CLM5_GSWP3V1	[-]	4.56	4.36	12.7	0.251	0.0995		-2.22		0.509	0.862	0.686
Control	[-]	4.42	4.25	12.7	0.205	0.0995		-2.28		0.483	0.825	0.654
Randomized	[-]	4.47	4.29	12.7	0.217	0.0995		-2.26		0.488	0.827	0.657

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 Global - Land 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

  Title:

2010 regridded 30N-80N forest biomass

  Source:

Retrievals from synthetic aperture radar data using existing databases of wood density and allometric relationships between biomass compartments

  History:

Mon May 14 13:03:28 2018: ncrename -v biomass_total,biomass -v uncertainty_biomass_total,uncertainty_biomass biomass_0.5x0.5.nc Mon May 14 13:03:05 2018: ncks -a -v time,time_bounds,lat,lat_bounds,lon,lon_bounds,biomass_total,uncertainty_biomass_total MPI-BGI_biomass0.5x0.5.nc biomass_0.5x0.5.nc Mon May 14 16:47:36 2018: ncl < step3-CF_convert_all.ncl Tue Oct 01 16:29:33 2013: cdo -f nc4c -z zip merge biomass_total.nc uncertainty_biomass_total.nc ./temp/biomass_total.nc Tue Oct 01 16:27:31 2013: cdo -f nc4c -z zip merge biomass_stem.nc uncertainty_biomass_stem.nc ./temp/biomass_stem.nc Tue Oct 01 16:25:47 2013: cdo -f nc4c -z zip merge biomass_roots.nc uncertainty_biomass_roots.nc ./temp/biomass_roots.nc Tue Oct 01 16:24:16 2013: cdo -f nc4c -z zip merge biomass_foliage.nc uncertainty_biomass_foliage.nc ./temp/biomass_foliage.nc Tue Oct 01 16:21:04 2013: cdo -f nc4c -z zip merge biomass_branches.nc uncertainty_biomass_branches.nc ./temp/biomass_branches.nc Tue Oct 01 16:00:25 2013: cdo -f nc4c -z zip merge biomass_agb.nc uncertainty_biomass_agb.nc ./temp/biomass_agb.nc

  Conventions:

CF-1.4

  Inistitute:

Max Planck Institute

  Created_date:

2018-05-14T16:47:36Z

  Contact:

Cheng-En Yang (yangc@ornl.gov) or Dr. Forrest M. Hoffman (forrest@climatemodeling.org)

  Database:

MPI-BGI data portal (https://www.bgc-jena.mg.de/geodb/projects/Home.php)

  Reference:

Thurner, M., C. Beer, M. Santoro, N. Carvalhais, T. Wutzler, D. Schepaschenko, A. Shvidenko, E. Kompter, B. Ahrens, S. R. Levick, and C. Schmullius (2014). Carbon stock and density of boreal and temperate forests. Global Ecol. and Biogeo., 23: 297-310. doi:10.1111/geb.12125.

  Nco:

netCDF Operators version 4.7.4 (http://nco.sf.net)