Mean State

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 [-] 525.
v1 [-] 443. 443. 518. 0.185 6.41 0.772 0.646 0.825 0.736
v2 [-] 449. 449. 518. 0.184 6.41 0.822 0.647 0.825 0.736
v3 [-] 460. 460. 518. 0.204 6.41 0.914 0.649 0.825 0.737
v4 [-] 474. 473. 518. 0.219 6.41 1.02 0.651 0.825 0.738
v5 [-] 493. 493. 518. 0.237 6.41 1.18 0.657 0.825 0.741
v6 [-] 518. 518. 518. 0.255 6.41 1.38 0.664 0.821 0.743
v7 [-] 547. 546. 518. 0.280 6.41 1.61 0.671 0.812 0.741
v8 [-] 580. 579. 518. 0.313 6.41 1.87 0.672 0.799 0.736

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
v1
Data not available
Data not available
v2
Data not available
Data not available
v3
Data not available
Data not available
v4
Data not available
Data not available
v5
Data not available
Data not available
v6
Data not available
Data not available
v7
Data not available
Data not available
v8
Data not available
Data not available

Data Information

  Title:
ESA CCI above-ground biomass product level

  Version:
3

  Institution:
GAMMA Remote Sensing

  Source:
ALOS-2 PALSAR-2 FB and WB mosaics, Sentinel-1 GRD

  History:
2022-05-17: downloaded source from https://dap.ceda.ac.uk/neodc/esacci/biomass/data/agb/maps/v3.0/netcdf/ESACCI-BIOMASS-L4-AGB-MERGED-100m-2010-fv3.0.nc
2022-05-26: coarsened to 0.5 degree resolution using https://github.com/rubisco-sfa/ILAMB-Data/blob/master/ESACCI/convert.py

  References:
M. Santoro and O. Cartus (2021), ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the years 2010, 2017 and 2018, v3, NERC EDS Centre for Environmental Data Analysis, http://dx.doi.org/10.5285/5f331c418e9f4935b8eb1b836f8a91b8