Summer School on Line:
Applied Ocean Modelling using CROCO
Advanced Course
2nd week: January 25-29 2021
Version 11/25/2020
Aims and Objectives
The course aims at familiarizing the participants with the advanced use of the numerical model of the
ocean CROCO. CROCO (Coastal and Regional Community Model http://www.croco-ocean.org ) is
based in ROMS_AGRIF and gathers elements from MARS3D, SYMPHONIE-NH, and NEMO. It includes
non-hydrostatic capabilities, wet/dry cells, nearshore wave-current interactions, and coupling
capabilities with the atmospheric model WRF and the wave model WW3 by using the OASIS coupler.
The course will be of an advanced level, presenting in more detail the use of CROCO’s
biogeochemical models, CROCO’s capabilities in coupling with an atmospheric (WRF) and wave
model (WW3), and aspects of implementing an operational forecast of the ocean with CROCO as the
ocean component. This course contributes to the capacity building on numerical tools of the coastal
ocean, focusing on advanced physical oceanographic aspects.
Expected Learning Outcomes
At the end of the course, the participants will be able to:
Identify the key elements of a biogeochemical simulation
Select key parameters to configure the biogeochemical model PISCES
Understand the basic aspects of using WRF
Prepare the required information to run CROCO coupled with an atmospheric model
Use the CROCO-WRF coupled simulation
Adapt and configure python and shell scripts to run an operational ocean forecast
Target audience and prerequisites:
This course is designed for researchers, students, and professionals in the advanced characteristics of the CROCO ocean.
The participants need to have a basic knowledge of physical oceanography, (BSc level) and previous experience using CROCO.
An intermediate level of Spanish and English (min. B1) is required.
Course Content:
Biogeochemistry modules in CROCO
Introduction to PISCES
PISCES configuration and calibration
Basic use of WRF
OASIS and model coupling
Wind-Currents coupling: Benguela case
Wave-Current coupling: Idealized cases.
Elements of Ocean Forecasting
Language of Instruction:
English and Spanish
Instructors:
English speakers:
Raschid Benshila, IRD, France [RB]
Gildas Cambon, IRD, France [GC]
Swen Jullien, IFREMER, France [SJ]
Spanish speakers:
- Osvaldo Artal, IFOP, Chile [OA]
- Vincent Echevin, IRD, France [VE]
- Lionel Renault, IRD, France [LR]
- Andrés Sepúlveda, DGEO, UdeC, Chile [AS]
- Odette Vergara, UdeC, Chile [OV]
Student Assessment:
Students will be assessed through a final evaluation (50%) and practical exercises (50%) throughout
the course. A course certificate will be issued to all participants who have attended all sessions and
attained not less than 70% success in the assignments.
Course Format and Duration
This 30-hour long course consists of a series of (online) lectures delivered in live sessions and
practical (demo) sessions and exercises.
Application Process:
Please fill in the online application form
https://forms.gle/PT35PNmtGK9fKrvM6
no later than December 15th 2020 (midnight CLT).
Contacts:
Geophysics Department, University of Concepción,Chile: Dr Andrés Sepúlveda
(asepulveda@dgeo.udec.cl) (Course Organiser)
LEGOS, University of Toulouse, IRD, CNRS, CNES, UPS, France: Dr. Lionel Renault
(lionel.renault@ird.fr) (Course Organiser)
In case of need for further clarifications please use the contacts above, always using as email subject:
(Online) Virtual Summer School - Advanced Ocean Modelling, 25 - 29 January 2021
Note:
Priority will be given to participants originating from Latin America. The University of Concepción is
committed to promote gender equality. Applications from women are strongly encouraged.
Costs
$25,000 (twenty thousand) chilean pesos/$30 (thirty) US dollars. Fellowships available to selected
students.
Website
https://modelacionaplicadaoceano.blogspot.com/
The course is organised as part of the Masters in Geophysics of the University of Concepción, with the
support from the Geophysics Department, University of Concepción, the Instituto de
Fomento Pesquero (IFOP, Chile), the Institut de Recherche pour le Développement (IRD, France), and
the National Laboratory for High Performance Computing (NLHPC, Chile).
