Τμήμα Ωκεανογραφίας και Θαλασσίων Βιοεπιστημών

Numerical Models in Oceanography
School:
Of the Environment
Academic Unit:
Department of Marine Sciences
Level of studies:
Undergraduate
Course Code:
191ΕΩ15E
Semester:
Η
Course Title:
Numerical Models in Oceanography
Independent Teaching Activities
Lectures and Lab
Weekly Teaching Hours
3
Credits
5
Course Type:
skills development
Prerequisite Courses:
Officially, there are not prerequisite courses. However, the student is required to have a basic background in mathematics, familiarity with computers and programming skills at a basic level. Ιt is therefore recommended that he/she has successfully completed the modules ‘Introduction to Informatics and Programming’, ‘Introduction to Dynamical Oceanography’ and ‘Modelling and Applications’, as the course draws from these fields.
Language of Instruction and Examinations:
Greek
Is the course offered to Erasmus students:
Yes. In their case the language of instruction and examination is English, and the course is adapted depending on each student.

Aim of the ‘Numerical Models in Oceanography’ course is:

  • to deepen the knowledge regarding basic concepts of numerical simulations and their application in the field of oceanography,

  • tο study basic marine ecosystem (physical and biogeochemical) processes and functioning through practical applications with the use of computers,  

  • tο familiarize students with the use of programming routines and simple simulation models,

  • to strengthen the background knowledge (theory and technical-practical skills) necessary to undertake more advanced activities (further studies, professional career) in the field of numerical simulations in oceanography.

At the end of this course the student should:

  • know and understand the basic concepts, principles, theories and data related to the numerical simulation of processes in oceanography,

  • be familiar with the quantitative description and investigation of phenomena in the marine environment with the application of numerical models using computers,

  • be familiar with the use of programming routines,

  • be able to develop simple modelling code to address issues related to physical and biogeochemical oceanographic processes

  • have the basic knowledge and experience to undertake more advanced steps in the field of numerical simulations in oceanography in his/her studies or careerwise.

  • be able to interact with others in interdisciplinary scientific issues related to the marine environment.

Skills: techniques and methods for the numerical simulation of physical and biogeochemical processes in the marine environment.

  • Apply theory in practice
  • Search, analyze and synthesize data and information, using the necessary tools
  • Decision-making
  • Independent work
  • Team work
  • Capacity to work in interdisciplinary and multidisciplinary teams
  • Respect for the natural environment
  • Critical and self-critical capacity
  • Production of free, creative and inductive thinking

The theoretical part consists initially of a brief repetition of basic concepts (differentiation, numerical solution of partial differential equation, derivative approach with finite differences, numerical error, precision, stability and convergence of numerical solution, explicit and implicit solving schemes, limitations and Courant-Friedrichs-Lewy criterion, requirements of initial and boundary conditions, basics of hydrodynamic models). After that, detailed description and application of numerical simulation techniques is performed on 

  • processes described by ordinary differential equations (ODEs) and systems of ODEs (change only with time),

  • processes of advection and diffusion of tracers in one (horizontal and vertical) spatial dimension (1-D) and in two spatial dimensions (2-D, horizontal),

  • hydrodynamic circulation processes (e.g. long surface waves in one and two dimensions, shallow water equations and wind driven circulation in a shallow basin with variable bathymetry),

  • ecosystem processes examined by physical-biological coupling (e.g. annual primary production cycle in the water column in coastal ecosystems), climatic processes, etc.

Practical exercises include the simulation of these phenomena both by developing simple code in programming language and by using ready-made software such as MATLAB subroutines, the S2P3 water column physics-biology model, the Delft-Dashboard software (the latter is used by students in teams to apply a simple two-dimensional, depth averaged hydrodynamic model in a coastal area and investigate results at the end of the semester).

Face to face (lectures and lab practice)

  • Use of ICT in teaching (PPT presentations)
  • Communication with students via e-mail and e-class platform
  • Uploading course material on e-class system.
Activity Semester workload
Lectures
15
Laboratory exercises
24
Independent study
56
Essay writing
30
Course total
125
  • Language of evaluation: Greek.
  • Students are evaluated weekly or bi-weekly based on the technical reports they submit on the practical part of the course.
  • Technical reports are returned graded and with comments.
  • Students may ask for clarifications regarding their grading.
  • The student’s final grade is defined by his/her overall performance in the laboratory practice (100%).

– Suggested bibliography:

Lecturer’s Notes on Numerical Models in Oceanography (in Greek)

Glover, D. M., W. J. Jenkins and S. C. Doney (2011). Modeling Methods for Marine Science. Woods Hole Oceanographic Institution, Cambridge University Press, pp588.

Kämpf, J. (2009). Ocean modelling for beginners. Using open-source software. Springer-Verlag, pp175.

 

– Additional bibliography:

Dyke, P.P.G. (2001). Coastal and Shelf Sea Modelling. Topics in Environmental Fluid Mechanics, Kluwer Academic Publishers, pp257.

Haidvogel, D.B. and A. Beckmann (1999). Numerical Ocean Circulation Modelling. Imperial College Press, pp320.

Hearn, C. J. (2008). The dynamics of coastal models. Cambridge University Press, pp488.

Kantha, L. and C.A. Clayson (2000). Numerical Models of Oceans and Oceanic Processes, 1st Edition, Academic Press, pp750.

Kämpf, J. (2009). Advanced ocean modeling. Using open-source software. Springer-Verlag, pp181.

 

– Related academic journals:

Ocean Modelling- https://www.journals.elsevier.com/ocean-modelling

Journal of Advances in Modelling Earth Systems – https://agupubs.onlinelibrary.wiley.com/journal/19422466

Ecological Modelling- https://www.journals.elsevier.com/ecological-modelling

Estuarine, Coastal and Shelf Science- https://www.journals.elsevier.com/estuarine-coastal-and-shelf-science

Journal of Marine Systems – https://www.journals.elsevier.com/journal-of-marine-systems

Continental Shelf Research – https://www.journals.elsevier.com/continental-shelf-research

 

– Useful links:

http://www.oc.nps.edu/nom/modeling/

http://ocean-modeling.org/

http://www.poseidon.hcmr.gr/