Polar Vortex Multi-Day Intensity Prediction Relying on New Deep Learning Model: A Combined Convolution Neural Network with Long Short-Term Memory Based on Gaussian Smoothing Method

The variation of polar vortex intensity is a significant factor affecting the atmospheric conditions and weather in the Northern Hemisphere (NH) and even the world. However, previous studies on the prediction of polar vortex intensity are insufficient. This paper establishes a deep learning (DL) mod...

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Detalles Bibliográficos
Autores principales: Peng, Kecheng, Cao, Xiaoqun, Liu, Bainian, Guo, Yanan, Xiao, Chaohao, Tian, Wenlong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534803/
https://www.ncbi.nlm.nih.gov/pubmed/34682038
http://dx.doi.org/10.3390/e23101314

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534803/
https://www.ncbi.nlm.nih.gov/pubmed/34682038
http://dx.doi.org/10.3390/e23101314

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