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ResoNet: Robust and Explainable ENSO Forecasts with Hybrid Convolution and Transformer Networks.
- Source :
- Advances in Atmospheric Sciences; Jul2024, Vol. 41 Issue 7, p1289-1298, 10p
- Publication Year :
- 2024
-
Abstract
- <i>Copyright of Advances in Atmospheric Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
- Subjects :
- TRANSFORMER models
CONVOLUTIONAL neural networks
EL Nino
OCEAN temperature
LA Nina
Subjects
Details
- Language :
- English
- ISSN :
- 02561530
- Volume :
- 41
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- Advances in Atmospheric Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 178027408
- Full Text :
- https://doi.org/10.1007/s00376-024-3316-6