Indian National Centre for Ocean Information Services

This course introduces participants to the fundamentals of simulating ocean processes using state-of-the-art numerical models and the emerging role of Artificial Intelligence and Machine Learning in Earth system science. It combines theory with hands-on practice, covering model setup, data analysis, and visualization, while also exploring how AI/ML can enhance forecasting, pattern recognition, and data-driven research. Through practical sessions, participants will gain the skills to apply both physics-based and data-driven approaches to address real-world challenges in oceanography and climate science.

Aims and objectives:

• Develop a strong understanding of the fundamentals of numerical ocean modeling, including governing equations, parameterizations, and computational techniques.
• Gain hands-on experience in setting up, running, and analyzing simulations with state-of-the-art ocean models.
• Learn how to process, visualize, and validate model outputs against observational and satellite datasets.
• Understand the principles of some basic Artificial Intelligence (AI) and Machine Learning (ML) techniques applicable to Earth sciences.
• Apply AI/ML methods to explore data-driven modeling of ocean state variables.
• Explore hybrid approach that could integrate physical modeling with AI/ML to improve predictive skill and scientific insight.
• Undertake a group mini-project to demonstrate the use of data-driven models in addressing Earth science problems.

Target Audience:

The training course is designed for the following target audience:

• Students, researchers, and professionals seeking to enhance their expertise in ocean numerical modeling and the application of AI/ML techniques to Earth system sciences. This course is designed for individuals who wish to have some basic knowledge of numerical and data-driven modeling. It will benefit those aiming to contribute meaningfully to academia, research organizations, industry, and government agencies working on marine and environmental challenges.

Application Process :

Click the Link to apply
Link

Period for Applications: 09^th - 30 ^th September, 2026

Learning Outcomes:

• Explain the fundamental principles of ocean numerical modeling and AI/ML methods in Earth sciences.
• Set up, run, and analyze simulations using state-of-the-art ocean models.
• Process, validate, and visualize ocean model outputs with observational and satellite datasets.
• Explore AI/ML based data-driven ocean modelling.
• Understand the possible hybrid approaches to improve model predictions.
• Design and present a mini-project that demonstrates the use of data-driven models to address Earth science-related problems.

Course Dates :

26^th October - 06^th November, 2026

Note:

Support for attending:No travel expenses (including to-and-fro travel charges) will be reimbursed to the selected trainees. However, accommodation (on twin-sharing basis) will be provided on first-cum first-served basis at our Guest House on payment of nominal charges to students upon production of Identity cards. Scholar can use their contingency to pay the charges.

Mode of Attendance:

The training course is offered in hybrid mode (physical & online), allowing participants to choose the most suitable mode for them. Link will for joining the course will be shared will in advance with the shortlisted candidates.

All foreign nationals who have registered for the training courses are mandatorily requested to attend the training programme through the online mode only, as obtaining the necessary clearances and approvals from MEA for physical participation is not possible within the available timeframe.

Certificate:

All participants who have attended all the sessions in hybrid mode and duly submitted the completed assignments as given by the instructors at the end of the course will be provided a course completion certificate.

Faculty:

• Dr. Kunal Chakraborty, INCOIS
• Dr. Francis P.A, INCOIS
• Dr. Apurva P Joshi, INCOIS
• Dr. Sridevi Bobbili, INCOIS
• Mr. Balaji B., INCOIS
• Dr. Rohith B, INCOIS
• Mr. Prasanna Kanti Ghoshal, INCOIS

Venue :

The training course offers both physical and online participation options, allowing participants to choose the most suitable mode.
The venue for physical participation is:
International Training Centre for Operational Oceanography (ITCOocean),
Indian National Centre for Ocean Information Services (INCOIS),
Ministry of Earth Sciences, Government of India,
"Ocean Valley", Pragathi Nagar (B.O), Nizampet (S.O),
Hyderabad - 500 090, INDIA.

For Any questions please contact:

itcoocean@incois.gov.in