Data · dataset · 2026
Using the radiative kernel technique to calculate climate feedbacks in NCAR's Community Atmospheric Model
Listed in National Center for Atmospheric Research
Climate models differ in their responses to imposed forcings, such as increased greenhouse gas concentrations, due to different climate feedback strengths.
Description
Feedbacks in NCAR's Community Atmospheric Model (CAM) are separated into two components: the change in climate components in response to an imposed forcing and the "radiative kernel," the effect that climate changes have on the top-of-the-atmosphere (TOA) radiative budget.
This technique's usefulness depends on the linearity of the feedback processes. For the case of COâ doubling, the sum of the effects of water vapor, temperature, and surface albedo changes on the TOA clear-sky flux is similar to the clear-sky flux changes directly calculated by CAM. When monthly averages are used rather than values from every time step, the global-average TOA shortwave change is underestimated by a quarter, partially as a result of intramonth correlations of surface albedo with the radiative kernel.
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The TOA longwave flux changes do not depend on the averaging period. The longwave zonal averages are within 10% of the model-calculated values, while the global average differs by only 2%. Cloud radiative forcing (ÎCRF) is often used as a diagnostic of cloud feedback strength.
The net effect of the water vapor, temperature, and surface albedo changes on ÎCRF is â1.6 W mâ»Â², based on the kernel technique, while the total ÎCRF from CAM is â1.3 W mâ»Â², indicating these components contribute significantly to ÎCRF and make it more negative. Assuming linearity of the ÎCRF contributions, these results indicate that the net cloud feedback in CAM is positive.
Links
Get the data
- Publisher page n2t.org/ark:/85065/d7ng4qv8 ↗
documentation · download · from data ucar edu
Where it is published
- data.ucar.edu /dataset/using-the-radiative-kernel-technique-to-calculate-clim… ↗
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=5dd42cca-bebe-4973-9563-fd0cdd09d… ↗
metadata API · from data ucar edu
Topics
- From keywords
- Earth & Environmental Science · Ocean & Atmospheric Science
- Inferred from text
- Atmospheric sciences 71%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| National Center for Atmospheric Research | 5dd42cca-bebe-4973-9563-fd0cdd09d560 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3701 | enrichment · data ucar edu | taxonomy-embedding@1.1.0 | title+keywords+description (71%) |
| 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 |