Data · dataset · 2026
Impacts of predicted liquid fraction and multiple iceâphase categories on the simulation of hail in the Predicted Particle Properties (P3) microphysics scheme
Listed in National Center for Atmospheric Research
Since its inception in 2015, the Predicted Particle Properties (P3) bulk microphysics scheme has undergone several major developments.
Description
Ice is now represented by a user‐specified number of freely‐evolving (non‐prescribed) categories; the liquid fraction of particles is predicted, thereby allowing for mixed‐phase particles and improved process rates; and the scheme is triple‐moment, which allows the size spectral width to vary independently.
As such, P3 is now capable of representing key properties and microphysical processes that are important for hail. In this study, the impacts of some new capabilities of P3 on the simulation of hail amounts and sizes are examined in the context of idealized, high‐resolution (200‐m isotropic grid spacing) hailstorm simulations using a cloud‐resolving model. Sensitivity tests are conducted to examine the impacts of (a) the predicted liquid fraction, and (b) the number of generic ice‐phase categories (varied between one and four).
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Predicted liquid fraction leads to a more realistic treatment of melting and shedding, which decreases the mean ice (hail) sizes during melting compared to the original P3 scheme. In contrast, with an increasing number of ice‐phase categories, the problem of property dilution is mitigated, ultimately resulting in greater quantities of hail and larger sizes reaching the surface. It is argued that the latest version of the P3 scheme is now capable of realistically representing the major microphysical processes involved in the initiation, growth, and decay of hail.
Links
Get the data
- Publisher page n2t.net/ark:/85065/d7pv6qs7 ↗
documentation · download · from data ucar edu
Where it is published
- data.ucar.edu /dataset/impacts-of-predicted-liquid-fraction-and-multiple-icea… ↗
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=ded64280-5056-4484-aabc-1680df011… ↗
metadata API · from data ucar edu
Topics
- From keywords
- Earth & Environmental Science · Ocean & Atmospheric Science
- Inferred from text
- Atmospheric sciences 70% · Simulation 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| National Center for Atmospheric Research | ded64280-5056-4484-aabc-1680df0116e2 | 12 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 (70%) |
| 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 |