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Description

This dataset provides annual global projections of live vegetation biomass and forest carbon sequestration potential through 2100 at 1-km resolution under reference and future climate change scenarios. Contemporary forest biomass was initialized using billions of spaceborne lidar observations from NASA's Global Ecosystem Dynamics Investigation (GEDI) and Ice, Cloud and Land Elevation Satellite-2 (ICESat-2), together with global land-cover observations and the Ecosystem Demography model (ED v3.0). Annual biomass was projected from 2021 through 2100 under alternative combinations of future climate, atmospheric CO2 concentration, and disturbance forcing. The dataset includes annual biomass projections for existing forests and potential new forests, as well as Carbon Sequestration Potential Gap (CSPG2100) products summarizing the projected biomass change between 2020 and 2100. The data are provided in GeoTIFF format.

Product Summary

Platforms
MODELS ,
FIELD SURVEYS ,
ISS ,
ICESat-2
Instruments
Computer ,
GEDI ,
LIDAR
Projects
CMS
Spatial Extent

N: 80 S: -60 E: 180 W: -180

Location
GLOBAL LAND
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2020-01-01 to 2100-12-31
Data Partner
THE OAK RIDGE NATIONAL LABORATORY (ORNL) DISTRIBUTED ACTIVE ARCHIVE CENTER (DAAC) (ORNL_DAAC)
Concept ID
C4362378069-ORNL_CLOUD
Data State
COMPLETE
Number of Files/Granules
1170
Processing Level
3
Published
Updated
Science Keywords
Vegetation Height ,
Forests ,
Carbon Sequestration ,
Biomass

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Ma, L., & Hurtt, G. C. (2026). Global Biomass Projections and Forest Carbon Sequestration Potential, 2020-2100 (Version 1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/2522 Date Accessed: 2026-10-27

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