Data · dataset · 2026
Joint application of concentration and δ¹â¸O to investigate the global atmospheric CO budget
Listed in National Center for Atmospheric Research
Most previous top-down global carbon monoxide (CO) budget estimates have used only concentration information and shown large differences in individual source estimates.
Description
Since CO from certain sources has a specific isotopic signature, coupling the concentration and isotope fraction information can provide a better constraint on CO source strength estimates. We simulate both CO concentration and its oxygen isotopologue C¹â¸O in the 3-D global chemical transport model MOZART-4 and compare the results with observations.
We then used a Bayesian inversion to calculate the most probable global CO budget. In the analysis, δ¹â¸O information is jointly applied with concentration. The joint inversion results should provide more accurate and precise inversion results in comparison with CO-only inversion.
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Various methods combining the concentration and isotope ratios were tested to maximize the benefit of including isotope information. The joint inversion of CO and δ¹â¸O estimated total global CO production at 2951 Tg-CO/yr in 1997, 3084 Tg-CO/yr in 1998, and 2583 Tg-CO/yr in 2004. The updated CO budget improved both the modeled CO and δ¹â¸O. The clear improvement shown in the δ¹â¸O implies that more accurate source strengths are estimated.
Thus, we confirmed that the observation of CO isotopes provide further substantial information for estimating a global CO budget.
Links
Get the data
- Publisher page n2t.org/ark:/85065/d7mp54gf ↗
documentation · download · from data ucar edu
Where it is published
- data.ucar.edu /dataset/joint-application-of-concentration-and-iaao-to-investi… ↗
National Center for Atmospheric Research dataset page
landing page · from data ucar edu
Catalogue records · 1
- CKAN API data.ucar.edu/api/3/action/package_show?id=e614bc94-f436-4358-8cca-d0d040c7f… ↗
metadata API · from data ucar edu
Topics
- From keywords
- Earth & Environmental Science · Ocean & Atmospheric Science
- Inferred from text
- Climate change science 72%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| National Center for Atmospheric Research | e614bc94-f436-4358-8cca-d0d040c7f4a9 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3702 | enrichment · data ucar edu | taxonomy-embedding@1.1.0 | title+keywords+description (72%) |
| concepts[field].local:field:earth-environmental | mapping · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| created_date | source · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| description | source · data ucar edu | connector:data_ucar_edu@1.0.0 | /notes |
| publication_date | source · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| title | source · data ucar edu | connector:data_ucar_edu@1.0.0 | /title |
| updated_date | source · data ucar edu | connector:data_ucar_edu@1.0.0 |