Data · dataset · 2026
Impact of massâsize parameterizations of frozen hydrometeors on microphysical retrievals: Evaluation by matching radar to in situ observations from GCPEx and OLYMPEx
Listed in National Center for Atmospheric Research
This article illustrates how multifrequency radar observations can refine the mass-size parameterization of frozen hydrometeors in scattering models and improve the correlation between the radar observations and in situ measurements of microphysical properties of ice and snow.
Description
The data presented in this article were collected during the GPM Cold Season Precipitation Experiment (GCPEx) (2012) and Olympic Mountain Experiment (OLYMPEx) (2015) field campaigns, where the true mass-size relationship was not measured.
Starting from size and shape distributions of ice particles measured in situ, scattering models are used to simulate an ensemble of reflectivity factors for various assumed mass-size parameterizations (MSP) of the power-law type. This ensemble is then collocated to airborne and ground-based radar observations, and the MSPs are refined by retaining only those that reproduce the radar observations to a prescribed level of accuracy.
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A versatile "retrieval dashboard'' is built to jointly analyze the optimal MSPs and associated retrievals. The analysis shows that the optimality of an MSP depends on the physical assumptions made in the scattering simulators. This work confirms also the existence of a relationship between parameters of the optimal MSPs.
Through the MSP optimization, the retrievals of ice water content M and mean diameter D-m seem robust to the change in meteorological regime (between GCPEx andOLYMPEx); whereas the retrieval of the diameter spread S-m seems more campaign dependent.
Links
Get the data
- Publisher page n2t.org/ark:/85065/d7dj5jzf ↗
documentation · download · from data ucar edu
Where it is published
- data.ucar.edu /dataset/impact-of-massasize-parameterizations-of-frozen-hydrom… ↗
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=8b6fb31f-0cde-4643-b7e9-24bf0db3e… ↗
metadata API · from data ucar edu
Topics
- From keywords
- Earth & Environmental Science · Ocean & Atmospheric Science
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| National Center for Atmospheric Research | 8b6fb31f-0cde-4643-b7e9-24bf0db3e7e9 | 13 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 | |
| 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 |