Field
Value
Language
dc.contributor.author
Rebecca, Evans
datacite.creator.affiliationIdentifier
https://ror.org/0420zvk78
en_US
datacite.creator.affiliation
Concordia University
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0001-7699-5217
en_US
dc.contributor.author
Matthews, Damon
datacite.creator.affiliationIdentifier
https://ror.org/0420zvk78
en_US
datacite.creator.affiliation
Concordia University
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0003-3625-390X
en_US
dc.coverage.temporal
2000-01-01/2100-01-01
dc.date.accessioned
2025-04-16T14:19:46Z
dc.date.available
2025-04-16T14:19:46Z
dc.date.issued
2025-04-16
dc.identifier.uri
https://doi.org/10.20383/103.0978
dc.identifier.uri
https://www.frdr-dfdr.ca/repo/dataset/13e1b9db-0d94-4197-b9e0-bee4c5ab9157
dc.description
This dataset comprises output from simulations used in "The Effectiveness of Agricultural Carbon Dioxide Removal using the University of Victoria Earth System Climate Model" by Rebecca C Evans and H Damon Matthews, published in Biogeosciences (2025).
The data was collected to improve our understanding of how the climate responds to carbon removal when the sequestered carbon is stored temporarily in pools that can continue to interact with the atmosphere (nature-based removal).
Included are time series from 12 future climate simulations:
- 3 simulations that represent the climate's response to future emissions under the SSP 1-1.9, 2-4.5, and 5-8.5 emissions scenarios.
- 3 simulations that have the same SSP scenarios (1-1.9, 2-4.5, 5-8.5) with the addition of a small amount of prescribed carbon dioxide removal in agricultural areas
- 3 simulations that have the same SSP scenarios (1-1.9, 2-4.5, 5-8.5) but with moderate rates of agricultural CDR
- 3 simulations that have the same SSP scenarios (1-1.9, 2-4.5, 5-8.5) but with high rates of agricultural CDR.
The data provided here is the output of these simulations, and can be found in a netcdf format. The data is annual globally-averaged output of temperature, atmospheric CO2, carbon pools, etc. for the 100 years from the year 2000 to 2100.
Brief description of the methodology:
(1) Take projections for future CO2 under specific SSP scenarios from https://tntcat.iiasa.ac.at/SspDb
(2) Modify the code of the UVic ESCM (https://terra.seos.uvic.ca/model/2.10/) to include a prescribed atmosphere-to-soil CO2 flux in agricultural areas
(3) Prescribe this CO2 flux to linearly ramp from 0 in the present day, to a maximum value in 2050 based literature estimates of CDR that will be possible by 2050 for low, moderate, and high costs
(4) Hold the CO2 flux constant after 2050
(5) Compare the results to the simulations with no prescribed CDR, to elucidate the impact of CDR on the climate
A more detailed description of the methodology can be found in the published paper.
Model output data to create the figures in the published manuscript
Manuscript: Evans, R. C., & Matthews, H. D. (2024). The effectiveness of agricultural carbon dioxide removal using the University of Victoria Earth System Climate Model. Biogeosciences. https://doi.org/10.5194/egusphere-2024-1810
en_US
dc.publisher
Federated Research Data Repository / dépôt fédéré de données de recherche
dc.rights
Creative Commons Attribution 4.0 International (CC BY 4.0)
en_US
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
en_US
dc.subject
University of Victoria Earth System Climate Model
en_US
dc.subject
UVic ESCM
en_US
dc.subject
Nature-based Climate Solutions
en_US
dc.subject
Carbon Dioxide Removal
en_US
dc.subject
Agriculture
en_US
dc.subject
Soil Carbon Sequestration
en_US
dc.subject
Numerical Modeling
en_US
dc.title
The Effectiveness of Agricultural Carbon Dioxide Removal using the University of Victoria Earth System Climate Model
en_US
globus.shared_endpoint.name
f163c1b3-9c88-42f6-a7bb-5839ed6c4063
globus.shared_endpoint.path
/1/published/publication_973/
datacite.publicationYear
2025
datacite.resourceType
Dataset
en_US
datacite.relatedIdentifier.IsCitedBy
https://oceanrep.geomar.de/id/eprint/48966/
datacite.relatedIdentifier.IsDerivedFrom
https://tntcat.iiasa.ac.at/SspDb
datacite.geolocation.geolocationPlace
Global;-;-;-
datacite.fundingReference.funderIdentifier
en_US
datacite.fundingReference.funderName
Mitacs Elevate Postdoctoral Fellowship
en_US
datacite.fundingReference.awardNumber
IT34880
en_US
datacite.fundingReference.awardTitle
Simulating the Use of Agriculture as a Nature-Based Carbon Capture Solution for
Mitigating Climate Change
en_US
datacite.fundingReference.funderIdentifier
https://ror.org/04xhxg104
en_US
datacite.fundingReference.funderName
Microsoft (Canada)
en_US
datacite.fundingReference.awardNumber
en_US
datacite.fundingReference.awardTitle
Simulating the Use of Agriculture as a Nature-Based Carbon Capture Solution for
Mitigating Climate Change
en_US
datacite.fundingReference.funderIdentifier
https://ror.org/026ny0e17
en_US
datacite.fundingReference.funderName
Environment and Climate Change Canada
en_US
datacite.fundingReference.awardNumber
en_US
datacite.fundingReference.awardTitle
Simulating the Use of Agriculture as a Nature-Based Carbon Capture Solution for
Mitigating Climate Change
en_US
frdr.crdc.code
RDF1051108
en_US
frdr.crdc.group_en
Earth and related environmental sciences
en_US
frdr.crdc.class_en
Soil sciences
en_US
frdr.crdc.field_en
Carbon sequestration science
en_US
frdr.crdc.group_fr
Sciences de la Terre et sciences de l'environnement connexes
fr_CA
frdr.crdc.class_fr
Sciences des sols
fr_CA
frdr.crdc.field_fr
Science de la séquestration du carbone
fr_CA
datacite.description.other
Direct link to the model code: https://terra.seos.uvic.ca/model/2.10/ is not functional.
en_US
datacite.description.other
Item exited embargo and became publicly available on 2025-04-16
