Advanced Studies in Data Assimilation on Numerical Ocean Modelling

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Physical Oceanography".

Deadline for manuscript submissions: closed (20 July 2022) | Viewed by 559

Special Issue Editors

Underwater Survey Technology 21, Incheon, Republic of Korea
Interests: data assimilation; regional climatology; high-resolution simulation for forecasting regional climates; cold water upwelling
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Guest Editor
Jeju Marine Research Center, Jeju Research Institute, (49111) KIOST, 385, Haeyang-ro, Yeongdo-gu, Busan Metropolitan City, Korea
Interests: data assimilation; physical oceanography; numerical model

Special Issue Information

Dear Colleagues,

In this Special Issue, original research articles and reviews are welcome. Research areas may include the following;

  • Development and improvement of regional model application—developing regional models for specific regions considering their basic research techniques for ocean models, such as water type, drag coefficient, and turbulent mixing scheme;
  • Development and improvement of model physics—progress in research on advanced model physics parametrization schemes (such as stochastic physics, wave–ocean coupling physics, turbulent diffusion and interaction with the surface, sub-grid condensation and convection);
  • Model evaluation—verification of model components and operational ocean prediction systems against theories and observations, regional and global reanalysis of past observations, and diagnosis of data assimilation systems;
  • Data assimilation systems—progress in ocean prediction systems and progress in the development of data assimilation systems for operational applications (such as reanalysis and climate services), research on advanced methods for data assimilation on various scales (such as treatment of model and observation errors in data assimilation, and observational network design and experiments);
  • Ensemble forecasts and predictability—strategies in ensemble construction, model resolution and forecast range-related issues, and applications to data assimilation;
  • Hybrid data assimilation with ensemble-based and variational methods—data assimilation based on ensemble–variational approaches and their application to real oceans.

We encourage the submission of articles that focus on developing ocean models and data assimilation.

I look forward to receiving your contributions.

Dr. Joonho Lee
Dr. Kyungman Kwon
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • parameterization
  • data assimilation
  • hybrid data assimilation
  • high-resolution ocean model
  • ensemble forecasting

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Published Papers

There is no accepted submissions to this special issue at this moment.
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