Course description:

The Ocean model represents a numerical mathematical equation of the ocean and its interaction with the atmosphere and land. The ocean model in the Maritime Continent aims to capture the complex interaction between ocean and atmosphere in this region, therefore configuring an ocean model for a certain area needs to specify a specific domain, type of the equation and numerical methods used, the parameterization of sub grid-scale processes and forcing data used to drive the model, such as atmospheric data and boundary condition.

One of the most commonly used ocean models is the three-dimensional numerical model, which divides the ocean into a grid of cells and uses mathematical equations to simulate the physical processes within each cell. The model is initialized by ocean currents, temperature, salinity data, and other variables, and run over some time, typically several years, to simulate the evolution of the ocean under different conditions.

Among those models that existed, BMKG developed the BMKG Ocean Forecast System (BMKG-OFS) as one of the Meteo-Oceanography modelling systems used to support prediction and information about waves, ocean currents, salinity and sea temperature for the communities. The development of BMKG OFS is an attempt to fulfil community needs in various sectors such as sea transportation, fisheries, mining and energy, and marine-related activities.

BMKG OFS consists of 3 primary components: the Ocean Wave Model, Ocean Circulation Model, and Drifting model. The Ocean Wave Model named Ina-Waves is used to support sea wave information. The Ocean Circulation Model named Ina-Flows, is used to support current, salinity and sea temperature information at every depth. The drifting model is used to support object trajectory, sea level and coastal flood information.

This training will provide participants with a basic knowledge of ocean modelling in terms of marine warnings and forecasts. The way that the ocean numerical modelling system developed by BMKG supports operational analysis and forecast of ocean parameters (waves, ocean currents, sea temperature, salinity, and seawater level) will be also discussed.  The processing and visualization of met-ocean data set from BMKG-OFS using open-source applications will be discussed briefly as supporting tools for data observation in the provision of marine meteorology services.

Learning outcomes:

1. Understanding the basic concept of Ocean Observation Systems in the Maritime Continent
2. Understanding the numerical ocean model and its configuration
3. Understanding the ocean model configuration utilization
4. Understanding visualization and utilization of ocean forecast system model

Course content:

• Introduction Lesson :
• Overview of Online Training on OFS
• Building Learning Commitment
• Lesson 1: The Concept of the Ocean Observation System in Maritime Continent
• Lesson 2: Numerical Ocean Model and the Configuration for Marine Forecast and Warning
• Lesson 3: Ocean Model Configuration
• Lesson 4: Visualization and Utilization of Ocean Forecast System Model

Target audience:

1. Meteorologists
2. Oceanographers
3. Researchers
4. Marine Data Analysts
5. Marine Forecasters

Language of instruction: English

Instructors/Trainers:

Ahmad Fadlan

Email: ahmad.fadlan@stmkg.ac.if

Specialization: Meteorologist, Marine Weather Observer and Analyst

Madona

Email: madona@bmkg.go.id

Specialization: Seismology

Khafid Rizki Pratama

Email: khafid.pratama@bmkg.go.id

Specialization: Ocean Modeling, Physical Oceanography, Coastal Dynamic

Rafika Eka

Email: rantifa.agustira@bmkg.go.id 

Specialization: Marine Meteorology, Ocean Numerical Model

Course duration and format:

25 hours (online) over a one-week period.

The course consists of the following formats but is not limited to:

• Lectures :
• Asynchronous sessions (using recording and tutorial video, reading, discussion forum)
• Synchronous sessions (webinar using Zoom Meeting Application, including breakout room activities for group activities)
• Discussion (synchronous and asynchronous via forum)
• Practice Exercises
• Case studies
• Manuals and Tutorials
• Games and Quizzes
• Demonstrations
• Project presentations
• Coaching

Learning assessment:

• Pre-Test and Post-Test: These tests are conducted before and after the training to assess the knowledge and skills gained by participants during the program.
• Quizzes: This encourages participants to review and solidify their understanding of the material.
• Learning journal: It is a reflective tool that allows participants to record their thoughts, experiences, and insights from the day’s learning activities. The tool encourages deeper understanding by prompting participants to think critically about their learning.

Pre-requisites:

• Good working knowledge of English
• Familiar with basic oceanographic
• Beginners will be given prioritized in this course

Application process:

The number of learners will be limited to 40 and state that not all applications will be selected (in case we receive more than 40 applications). The selection criteria are:

• The candidate must have made a significant contribution to the fields of meteorology, oceanography, marine data, marine forecast, or coastal modelling.
• Academic Background: The second author should hold a degree or have expertise relevant to the subject matter of the manuscript.

Please complete the online application form available on https://otga.wufoo.com/forms/zaf496q0sh8eth/. You can apply until 9 December 2024 (23:59 CET: Central European Time). 

This course was normally set to run from 25-29 November 2024, but is at the end postponed and will now run from 16-20 December 2024.

UNESCO is committed to promoting equal access principles. Applications from minority or underrepresented groups are strongly encouraged. For any questions please contact the OTGA Secretariat (ioc.training@unesco.org) always using the name of the course as email subject.

Costs: no tuition fee - Selected participants can attend the course free of charge

Certificate: Certificate will be issued for participants who attempt the pre-test and post-test quizzes and submit the learning journals. At the conclusion of the course, you will be asked to complete the post-course feedback survey to rate how the course has met your expectations.

Cancellation policy: 

In the event of cancellation of the course by the OTGA or its affiliates, we will provide notification of cancellation at least 7 days prior to the course date. In the event of cancellation by the attendee, we should receive notification of cancellation at least 7 days prior to the course date.