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Application of Deep Learning to Estimate Atmospheric Gravity Wave Parameters in Reanalysis Data Sets
- Source :
- Geophysical Research Letters. 47
- Publication Year :
- 2020
- Publisher :
- American Geophysical Union (AGU), 2020.
-
Abstract
- Gravity waves play an essential role in driving and maintaining global circulation. To understand their contribution in the atmosphere, the accurate reproduction of their distribution is important....
- Subjects :
- 010504 meteorology & atmospheric sciences
Meteorology
Gravitational wave
Atmospheric circulation
business.industry
Deep learning
010502 geochemistry & geophysics
01 natural sciences
Atmosphere
Geophysics
General Earth and Planetary Sciences
Gravity wave
Artificial intelligence
business
Physics::Atmospheric and Oceanic Physics
Geology
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 19448007 and 00948276
- Volume :
- 47
- Database :
- OpenAIRE
- Journal :
- Geophysical Research Letters
- Accession number :
- edsair.doi...........3e57c7bb00612d3649aa101aed82df36