TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions-Reference-Cited by-同舟云学术

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TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions

Published:2025-01 Issue: Volume:306 Page:109359
ISSN:0010-4655
Container-title:Computer Physics Communications
language:en
Short-container-title:Computer Physics Communications

Author:

Cheng Sibo^ORCID,Min Jinyang,Liu Che,Arcucci Rossella

Funder

ANR

Publisher

Elsevier BV

Reference64 articles.

1. Optimal reduced space for variational data assimilation;Arcucci;J. Comput. Phys.,2019

2. Deep data assimilation: integrating deep learning with data assimilation;Arcucci;Appl. Sci.,2021

3. Fundamentals of Stochastic Filtering;Bain,2009

4. Data assimilation in reduced modeling;Binev;SIAM/ASA J. Uncertain. Quantificat.,2017

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