Data · dataset · 2026
Convective organization in evolving large-scale forcing represented by a highly truncated numerical archetype
Listed in National Center for Atmospheric Research
Considered as a prognostic generalization of mass-flux-based convection parameterization, the highly truncated nonhydrostatic anelastic model with segmentally constant approximation (NAM-SCA) is tested with time-evolving large-scale forcing.
Description
The 20-day GATE Phase III period is taken as a major data source. The main advantage of the NAM-SCA parameterization is consistency with subgrid-scale dynamics as represented by the nonhydrostatic anelastic formulation.
The approach explicitly generates important dynamical structures of convection (e.g., mesoscale circulations, cold pools) spontaneously without further tuning or treatment as additional subcomponents. As with other convection parameterization, the numerical simulation of the precipitation rate, the apparent heat source, and the apparent moisture sink is straightforward and reasonably insensitive to the numerical procedures.
Read the rest (1 more)
However, convective momentum transport by organized convection turns out to be difficult even with NAM-SCA, especially for the inherently three-dimensional shear-parallel systems. Modifications of NAM-SCA regarding the large-scale forcing formulation improves the mesoscale momentum transport. Simulation of the full 120-day TOGA COARE period demonstrates the performance of NAM-SCA in different meteorological conditions and its capacity to operate over a longer time period.
Links
Get the data
- Publisher page n2t.org/ark:/85065/d7j67krq ↗
documentation · download · from data ucar edu
Where it is published
- data.ucar.edu /dataset/convective-organization-in-evolving-large-scale-forcin… ↗
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=1379c3ed-a373-4787-ae91-4e52b263e… ↗
metadata API · from data ucar edu
Topics
- From keywords
- Earth & Environmental Science · Ocean & Atmospheric Science
- Inferred from text
- Geoinformatics 72% · Simulation 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| National Center for Atmospheric Research | 1379c3ed-a373-4787-ae91-4e52b263e15f | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3704 | 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 | |
| concepts[method].local:method:simulation | enrichment · data ucar edu | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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 |