IOC/OTGA/BMKG: The Ocean Forecast System Course: Coastal Resilience and Disaster Risk- online
Ocean Forecast System Course
15 August - 02 September 2022
P.O. Box 3540 Jkt.
Organizer & Staff
Attendance by application.
The Ocean Forecast System provides information on early marine weather conditions, especially during extreme events. The next level of the Ocean Forecast System utilization is to understand the coastal resilience in order to be able to mitigate the disaster risk. This course brings the practical and analytical knowledge of the Ocean Forecast System (OFS) to approach and analyze coastal resilience, and then mitigate the disaster risk, during the extreme event, in particular.
- Describe the CRDR concepts in terms of Advanced OFS
- Apply the pre-processing steps for the tools and data preparation (including Delft3D)
- Explain on how to interpret the model output in the research/projected area
- Describe the know-how on providing early warning or forecast for coastal extreme events
- Marine Data Analyst
- Marine Forecaster (who has the daily tasks and responsibilities for ocean/ coastal modeling)
Language of instruction: English
Instructors/Trainers: (alphabetical order)
- Ms. Adji Syarifah Happy Lubianashari
- Dr. Andri Ramdhani
- Ms. Dava Amrina
- Mr. Eko Supriyadi
- Mr. M. Farid Geonova
- Mr. Hendri Prayugo
- Dr. Nelly Florida Riama
- Ms. Noer Nurhayati
- Mr. Rheza Arifin
- Ms. Roro Yuliana Purwanti
- Mr. Samuel Adiprabowo
- Ms. Widya Ayuningtyas
Course duration and format:
60 hours- online course
The course consists of below formats but is not limited to:
- Lectures :
- Asynchronous sessions (using recording and tutorial video, reading, discussion forum),
- Synchronous sessions (webinar using a online Meeting Application, including the breakout room activities for group activities)
- Discussion (synchronous and asynchronous via forum)
- Practice Exercises
- Case studies
- Manuals and Tutorials
- Games and Quizzes
Assessment methods include:
- Prerequisite/ entry test (to be functioned as a placement test)
- Pre-test and post-test
- Meaningful contributions to the discussions (Synchronous and asynchronous)
- Case studies
- Good working knowledge of English
- Familiar with Delft3D processing system or Numerical Modeling Software, having some related experiences in programming will be an advantage
- Familiar with MATLAB/ Python
- Have a computer, with specifications:Windows or Linux PC (The training will be conducted in windows platform) and Minimum MATLAB version are Matlab R2019a or above
the number of learners will be limited to 70 and state that not all applications will be selected (in case we receive more then 70 applications).
Please complete the online application form available on https://otga.wufoo.com/forms/zdepf0r1etsi4z/
You can apply from 1 June 2022 until 24 June 2022 (23:59 CEST: Central European Summer Time).
UNESCO is committed to promote equal access principles. Applications from minority or underrepresented groups are strongly encouraged.
For any questions please contact the OTGA Secretariat (firstname.lastname@example.org) always using the name of the course as email subject.
costs: no tuition fee
Certificate: Certificate will be issued for participants who attempt the pre-test, post-test, submit the assignment, and complete the evaluation form. 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.
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.
|AYALA CRUZ Franklin||Colombia|
|HOSSAIN M. Shahadat||Bangladesh|
|JAYATHILAKA Ruchira||Sri Lanka|
|MENESES GONZALEZ Paulino||Belgium|
|MORALEDA Mark Angelo||Philippines|
|NAVARRO Jan Bryan||Philippines|
|RAHMAN Mohammad Saifur||Bangladesh|
|SIWAT Vonklauss||Papua New Guinea|
|WIJESUNDARA Anusha||Sri Lanka|
Total Invited: 33