Summary
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 the sea and the atmosphere in this region. Therefore, configuring an ocean model for a certain area needs to specify a specific domain, type of equation and numerical methods used, the parameterisation of subgrid-scale processes, and forcing data used to drive the model, such as atmospheric data and boundary conditions.
One of the most commonly used ocean models is the three-dimensional numerical model. This model divides the ocean into a grid of cells and uses mathematical equations to simulate the physical processes within each cell. The model is initialised by ocean currents, temperature, salinity data, and other variables and runs 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 meteors-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, the Ocean Circulation Model, and the 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:
Course content:
Target audience:
Language of instruction: English
Instructors/Trainers:
Email: ahmad.fadlan@stmkg.ac.if
Specialization: Meteorologist, Marine Weather Observer and Analyst
Email: madona@bmkg.go.id
Specialization: Seismology
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
Notes
Course duration and format:
25 hours (online) over one week.
The course consists of the following formats but is not limited to:
Learning assessment:
Pre-requisites:
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:
Please complete the online application form available on https://otga.wufoo.com/forms/zaf496q0sh8eth/. You can apply until 2 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 with 3 week 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.
Online Training on Ocean Forecast System [online]