A new data assimilation method for high-dimensional models

In the variational data assimilation (VarDA), the typical way for gradient computation is using the adjoint method. However, the adjoint method has many problems, such as low accuracy, difficult implementation and considerable complexity, for high-dimensional models. To overcome these shortcomings,...

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Detalles Bibliográficos
Autores principales: Wang, Guangjie, Cao, Xiaoqun, Cai, Xun, Sun, Jingzhe, Li, Xiaoyong, Wang, Heng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805242/
https://www.ncbi.nlm.nih.gov/pubmed/29420553
http://dx.doi.org/10.1371/journal.pone.0191714

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805242/
https://www.ncbi.nlm.nih.gov/pubmed/29420553
http://dx.doi.org/10.1371/journal.pone.0191714

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