Deriving Severe Hail Likelihood from Satellite Observations and Model Reanalysis Parameters Using a Deep Neural Network
Indexed from repository: NASA Technical Reports Server
(
ntrs.nasa.gov)
Document Information
| Document Title | Deriving Severe Hail Likelihood from Satellite Observations and Model Reanalysis Parameters Using a Deep Neural Network |
|---|---|
| Author / Organization | Benjamin Scarino, Kyle Itterly, Kristopher Bedka, Cameron R. Homeyer, John Allen, Sarah Bang, Daniel Cecil |
| Subject & Discipline | ACCEPTED_MANUSCRIPT |
| Categories | Aerospace & Aviation |
| Publication Year | 2026 |
| License / Rights | Public Domain / NASA STI Open Access |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
NASA Technical Reports Server
(ntrs.nasa.gov)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-55346 |
| Original Source Link | Visit Source Page on ntrs.nasa.gov » |