Variational multivariate data assimilation improves sea-ice analysis and forecasting

Vasily Ivanov, Liubov Antiufrieva, Vladimir Vanovskiy, Evgeny Burnaev

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DOI: 10.21203/rs.3.rs-10699873/v1
Published: 2026-09-03
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Publisher: Springer Science and Business Media LLC
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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-10699873/v1,
  title = {Variational multivariate data assimilation improves sea-ice analysis and forecasting},
  author = {Vasily Ivanov and Liubov Antiufrieva and Vladimir Vanovskiy and Evgeny Burnaev},
  year = {2026},
  doi = {10.21203/rs.3.rs-10699873/v1},
  url = {https://doi.org/10.21203/rs.3.rs-10699873/v1}
}

RIS

TY  - JOUR
TI  - Variational multivariate data assimilation improves sea-ice analysis and forecasting
AU  - Vasily Ivanov
AU  - Liubov Antiufrieva
AU  - Vladimir Vanovskiy
AU  - Evgeny Burnaev
PY  - 2026
DO  - 10.21203/rs.3.rs-10699873/v1
UR  - https://doi.org/10.21203/rs.3.rs-10699873/v1
ER  -

APA

Ivanov, V., Antiufrieva, L., Vanovskiy, V., & Burnaev, E. (2026). Variational multivariate data assimilation improves sea-ice analysis and forecasting. https://doi.org/10.21203/rs.3.rs-10699873/v1

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crossref · retrieved 2026-09-26T09:23:10.500Z