Using Deep Learning to Develop a High Resolution Planetary Boundary Layer Model for Infrasound Propagation.
Abstract not provided.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation (NA-20)
- DOE Contract Number:
- NA0003525
- OSTI ID:
- 2002308
- Report Number(s):
- SAND2022-4500C; 704987
- Country of Publication:
- United States
- Language:
- English
Similar Records
Using Deep Learning to Develop a High Resolution Planetary Boundary Layer Model for Infrasound Propagation
Predicting Atmospheric Structure for Infrasound Propagation Using Machine Learning.
Predicting Atmospheric Structure for Infrasound Propagation Using Machine Learning.
Technical Report
·
Tue Feb 28 23:00:00 EST 2023
·
OSTI ID:2432153
Predicting Atmospheric Structure for Infrasound Propagation Using Machine Learning.
Conference
·
Sun Nov 01 00:00:00 EDT 2020
·
OSTI ID:1830056
Predicting Atmospheric Structure for Infrasound Propagation Using Machine Learning.
Conference
·
Sun Feb 28 23:00:00 EST 2021
·
OSTI ID:1855936