Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation-Reference-Cited by-同舟云学术

Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation

Published:2020-12 Issue: Volume:372 Page:113291
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Mack Julian^ORCID,Arcucci Rossella^ORCID,Molina-Solana Miguel^ORCID,Guo Yi-Ke

Funder

EPSRC, UK

European Union’s H2020 MSCA-IF

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference88 articles.

1. Data assimilation methods;Met. Office,2019

2. On the variational data assimilation problem solving and sensitivity analysis;Arcucci;J. Comput. Phys.,2017

3. Toward a preconditioned scalable 3dvar for assimilating sea surface temperature collected into the Caspian sea;Arcucci;J. Numer. Anal. Ind. Appl. Math.,2018

4. Extracting and composing robust features with denoising autoencoders;Vincent,2008

5. LLNet: A deep autoencoder approach to natural low-light image enhancement;Lore;Pattern Recognit.,2017

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