Data assimilation with machine learning for dynamical systems: Modelling indoor ventilation-Reference-Cited by-同舟云学术

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Data assimilation with machine learning for dynamical systems: Modelling indoor ventilation

Published:2024-06 Issue: Volume:643 Page:129783
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Heaney Claire E.^ORCID,Tang Jieyi,Yan Jintao,Guo Donghu^ORCID,Ipock Jamesson,Kaluvakollu Sanjana,Lin Yushen^ORCID,Shao Danhui,Chen Boyang^ORCID,Mottet Laetitia^ORCID,Kumar Prashant,Pain Christopher C.

Funder

EPSRC

Publisher

Elsevier BV

Reference55 articles.

1. The quiet revolution of numerical weather prediction;Bauer;Nature,2015

2. Atmospheric Modeling, Data Assimilation and Predictability;Kalnay,2003

3. Computational Methods for Data Evaluation and Assimilation;Cacuci,2016

4. Data Assimilation: Methods, Algorithms and Applications;Asch,2016

5. A review of operational methods of variational and ensemble-variational data assimilation;Bannister;Q. J. R. Meteorol. Soc.,2017

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