Data · dataset · 2026
Temperature and water vapor variance scaling in global models: Comparisons to satellite and aircraft data
Listed in National Center for Atmospheric Research
Observations of the scale dependence of height-resolved temperature (T) and water vapor (q) variability are valuable for improved subgrid-scale climate model parameterizations and model evaluation.
Description
Variance spectral benchmarks for T and q obtained from the Atmospheric Infrared Sounder (AIRS) are compared to those generated by state-of-the-art numerical weather prediction "analyses" and "free-running" climate model simulations with spatial resolution comparable to AIRS.
The T and q spectra from both types of models are generally too steep such that small-scale variance is up to several factors smaller than AIRS. However, the two model analyses more closely resemble AIRS than the two free-running model simulations. Scaling exponents obtained for AIRS column water vapor (CWV) and height-resolved layers of q are also compared to the super-parameterized Community Atmospheric Model (SP-CAM) that highlight large differences in the magnitude of CWV variance and the relative flatness of height-resolved q scaling in SP-CAM.
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Height-resolved q spectra obtained from aircraft observations during the Variability of the American Monsoon Systems Ocean-Cloud-Atmosphere-Land Study Regional Experiment (VOCALS-REx) demonstrate changes in scaling exponents that depend on the observations' proximity to the base of the subsidence inversion with scale breaks that occur at approximately the dominant cloud scale (~10-30 km). This suggests finer spatial resolution requirements must be considered for future satellite observations of T and q than those currently planned for infrared and microwave satellite sounders.
Links
Get the data
- Publisher page n2t.org/ark:/85065/d7x067jv ↗
documentation · download · from data ucar edu
Where it is published
- data.ucar.edu /dataset/temperature-and-water-vapor-variance-scaling-in-global… ↗
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=07aed85a-1331-40a4-966a-ac344843c… ↗
metadata API · from data ucar edu
Topics
- From keywords
- Earth & Environmental Science · Ocean & Atmospheric Science
- Inferred from text
- Atmospheric dynamics 77% · Climate model simulation 65% · Satellite remote sensing 65%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| National Center for Atmospheric Research | 07aed85a-1331-40a4-966a-ac344843c9c0 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:370105 | enrichment · data ucar edu | taxonomy-embedding@1.1.0 | title+keywords+description (77%) |
| 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[method].local:method:climate-model | enrichment · data ucar edu | keyword-concept-rules@1.0.0 | title+description (65%) |
| 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 |