Mean State

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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 [-] 30.1
CABLE-POP [-] 444. 24.9 28.6 419. 1.48 -0.434 0.566 0.594 0.580
CARDAMOM [-] 408. 30.6 28.9 378. 1.20 0.192 0.712 0.795 0.753
CLASSIC [-] 601. 34.5 29.9 564. 0.184 0.501 0.583 0.858 0.721
CLM6.0 [-] 978. 46.2 30.1 922. 1.67 0.616 0.872 0.744
DLEM [-] 482. 18.3 29.6 464. 0.521 -1.27 0.594 0.493 0.544
ED [-] 343. 13.5 29.6 329. 0.458 -1.81 0.501 0.425 0.463
ELM [-] 817. 41.2 29.9 769. 0.176 1.21 0.613 0.810 0.711
IBIS [-] 323. 19.2 29.6 304. 0.533 -1.18 0.604 0.517 0.560
iMAPLE [-] 416. 25.9 30.1 390. -0.449 0.635 0.793 0.714
ISAM [-] 708. 48.6 29.6 659. 0.521 2.16 0.544 0.822 0.683
ISBA-CTRIP [-] 671. 44.3 30.1 626. 0.0121 1.54 0.545 0.805 0.675
JSBACH [-] 374. 23.0 29.0 349. 1.09 -0.648 0.582 0.731 0.656
JULES [-] 388. 14.0 30.1 374. 0.00530 -1.75 0.515 0.599 0.557
LPJ-GUESS [-] 324. 16.0 29.4 308. 0.698 -1.54 0.541 0.397 0.469
LPJml [-] 572. 31.9 30.1 540. 0.00530 0.198 0.660 0.784 0.722
LPJwsl [-] 608. 37.1 29.6 571. 0.521 0.850 0.649 0.799 0.724
LPX [-] 439. 21.1 30.1 417. 0.0269 -0.980 0.605 0.537 0.571
OCN [-] 541. 22.5 29.5 518. 0.638 -0.776 0.630 0.586 0.608
ORCHIDEE [-] 383. 19.0 30.1 364. 0.00530 -1.20 0.588 0.448 0.518
SDGVM [-] 477. 32.4 29.8 445. 0.264 0.277 0.611 0.763 0.687
VISIT [-] 477. 27.1 29.2 450. 0.943 -0.240 0.607 0.871 0.739
VISIT-UT [-] 482. 25.5 29.2 457. 0.943 -0.418 0.593 0.858 0.726

Temporally integrated period mean

BENCHMARK MEAN
Data not available
Data not available
MODEL MEAN
Data not available
Data not available
BIAS
Data not available
Data not available
BIAS SCORE
Data not available
Data not available

SPATIAL TAYLOR DIAGRAM
Data not available
MODEL COLORS
Data not available

Spatially integrated regional mean

MODEL COLORS
Data not available

All Models

Benchmark
Data not available
Data not available
CABLE-POP
Data not available
Data not available
CARDAMOM
Data not available
Data not available
CLASSIC
Data not available
Data not available
CLM6.0
Data not available
Data not available
DLEM
Data not available
Data not available
ED
Data not available
Data not available
ELM
Data not available
Data not available
IBIS
Data not available
Data not available
iMAPLE
Data not available
Data not available
ISAM
Data not available
Data not available
ISBA-CTRIP
Data not available
Data not available
JSBACH
Data not available
Data not available
JULES
Data not available
Data not available
LPJ-GUESS
Data not available
Data not available
LPJml
Data not available
Data not available
LPJwsl
Data not available
Data not available
LPX
Data not available
Data not available
OCN
Data not available
Data not available
ORCHIDEE
Data not available
Data not available
SDGVM
Data not available
Data not available
VISIT
Data not available
Data not available
VISIT-UT
Data not available
Data not available

Data Information

  History:
Tue Oct 28 13:48:23 2025: ncatted -a _FillValue,biomass,c,f,9.969209968386869e+36 biomass_0.5x0.5.nc

  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

  Nco:
netCDF Operators version 5.3.3 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco, Citation = 10.1016/j.envsoft.2008.03.004)