Marine Modelling and Environmental Statistics in Honor of Professor Keith Thompson

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: 30 June 2025 | Viewed by 1679

Special Issue Editors


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Guest Editor
Department of Oceanography, Dalhousie University, Halifax, NS B3H 4R2, Canada
Interests: ocean dynamics; atmospheric dynamics; modelling and prediction; numerical methods; air–sea interaction; wave–current interaction
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Guest Editor
Department of Oceanography, Dalhousie University, Halifax, NS B3H 4R2, Canada
Interests: coupled atmosphere–wave models; coupled atmosphere–hydrology models; atmosphere–ocean coupling; coupling data assimilation and prediction systems for coastal applications; development of expert systems for marine applications
Fisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, NS B2Y 4A2, Canada
Interests: physical oceanography; ocean modelling; ocean mixing; air–sea interaction
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Environment and Climate Change Canada, Gatineau, QC, Canada
Interests: coastal flooding; extremes water levels; coupled modeling

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Guest Editor
Department of Mathematics and Statistics, Dalhousie University, Halifax, NS B3H 4R2, Canada
Interests: environmental statistics; statistical inverse problems for ocean prediction; stochastic marine ecosystem modelling; data analysis methods for marine environmental observations

Special Issue Information

Dear Colleagues,

Professor Keith Thompson was a highly influential scientist in marine prediction and environmental statistics in Canada and abroad. Professor Thompson made major contributions in an extensive range of research areas, including the modelling and prediction of global, shelf and coastal oceans, data assimilation, environmental statistics, and studies of atmospheric and ocean dynamics. He was also exceptionally successful in providing high-quality mentorship to graduate students and early-career scientists. This Special Issue focuses on marine modelling and environmental statistics in Honour of Professor Thompson. The scope of this Special Issue includes, but is not limited to, the following:

  • Development and validation of new numerical methods and data assimilation;
  • Predictions and predictability of numerical models;
  • Environmental statistics in oceanography;
  • Analysis of extreme marine conditions;
  • Madden–Julian Oscillation and other climate modes;
  • Numerical studies on main processes in atmospheres and oceans;
  • Coupling between atmospheric and ocean models;
  • Tide–surge interaction over coastal waters.

We cordially invite you to submit high-quality research papers to this Special Issue. Submitted papers will be peer-reviewed by leading researchers from around the world. Accepted papers will be published continuously in the journal (immediately upon acceptance) and be listed together on the Special Issue website. Research articles, review articles, as well as short communications are welcome.

Prof. Dr. Jinyu Sheng
Dr. Harold Ritchie
Dr. Youyu Lu
Dr. Natacha B. Bernier
Prof. Dr. Michael Dowd
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

  • numerical modelling
  • data assimilation
  • environmental statistics
  • oceanography
  • prediction
  • predictability
  • extreme marine conditions
  • Madden–Julian Oscillation
  • atmospheric dynamics
  • ocean dynamics
  • coastal waters
  • tide–surge interaction

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Published Papers (1 paper)

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Editorial

19 pages, 2765 KiB  
Editorial
An Overview of Dr. Keith Thompson’s Contributions to Science Programs and High-Quality Training in Marine Prediction and Environmental Statistics
by Hal Ritchie, Jinyu Sheng, Natacha Bernier, Youyu Lu and Michael Dowd
J. Mar. Sci. Eng. 2024, 12(9), 1649; https://doi.org/10.3390/jmse12091649 - 14 Sep 2024
Viewed by 941
Abstract
Dr. Keith Thompson was a highly influential scientist in marine prediction and environmental statistics in Canada and abroad. He was also exceptionally successful for providing high-quality mentorship to graduate students and early-career scientists. In this article, we provide an overview of Dr. Thompson’s [...] Read more.
Dr. Keith Thompson was a highly influential scientist in marine prediction and environmental statistics in Canada and abroad. He was also exceptionally successful for providing high-quality mentorship to graduate students and early-career scientists. In this article, we provide an overview of Dr. Thompson’s career contributions to marine science programs and training for graduate students and other highly qualified personnel. Full article
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