Data · dataset · 2026
The imprint of surface fluxes and transport on variations in total column carbon dioxide
Listed in National Center for Atmospheric Research
New observations of the vertically integrated COâ mixing ratio, (COâ), from ground-based remote sensing show that variations in (COâ) are primarily determined by large-scale flux patterns.
Description
They therefore provide fundamentally different information than observations made within the boundary layer, which reflect the combined influence of large-scale and local fluxes. Observations of both (COâ) and COâ concentrations in the free troposphere show that large-scale spatial gradients induce synoptic-scale temporal variations in (COâ) in the Northern Hemisphere midlatitudes through horizontal advection.
Rather than obscure the signature of surface fluxes on atmospheric COâ, these synoptic-scale variations provide useful information that can be used to reveal the meridional flux distribution. We estimate the meridional gradient in (COâ) from covariations in (COâ) and potential temperature, θ, a dynamical tracer, on synoptic timescales to evaluate surface flux estimates commonly used in carbon cycle models. We find that simulations using Carnegie Ames Stanford Approach (CASA) biospheric fluxes underestimate both the (COâ) seasonal cycle amplitude throughout the Northern Hemisphere midlatitudes and the meridional gradient during the growing season.
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Simulations using CASA net ecosystem exchange (NEE) with increased and phase-shifted boreal fluxes better fit the observations. Our simulations suggest that climatological mean CASA fluxes underestimate boreal growing season NEE (between 45-65° N) by ~40%. We describe the implications for this large seasonal exchange on inference of the net Northern Hemisphere terrestrial carbon sink.
Links
Get the data
- Publisher page n2t.org/ark:/85065/d7c53mj1 ↗
documentation · download · from data ucar edu
Where it is published
- data.ucar.edu /dataset/the-imprint-of-surface-fluxes-and-transport-on-variati… ↗
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=6a4a6813-822f-4abe-adba-fefbc45b1… ↗
metadata API · from data ucar edu
Topics
- From keywords
- Earth & Environmental Science · Ocean & Atmospheric Science
- Inferred from text
- Satellite remote sensing 65%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| National Center for Atmospheric Research | 6a4a6813-822f-4abe-adba-fefbc45b1ebe | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| 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 | |
| concepts[modality].local:modality:remote-sensing | enrichment · data ucar edu | keyword-concept-rules@1.0.0 | title+description (65%) |
| 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 |