ABOUT US

MEETOCEANEMBED

We turn surface-level signals into a clearer understanding of the ocean beneath, helping us explore what is difficult to observe directly.

SURFACE SIGNALSSUBSURFACE INSIGHTOCEAN INTELLIGENCE
Earth and ocean viewed from space
SURFACE VIEW
Underwater ocean environment
HIDDEN DEPTH

OceanEmbed connects satellite observations, machine learning, and ocean science to reveal patterns that are difficult to see from the surface alone.

01THE CHALLENGE

WHAT IS
THE PROBLEM?

Ocean surface
VISIBLESURFACE
HIDDENSUBSURFACE
0m250m500m1000m

We can observe the ocean surface, but much of what happens beneath it remains hidden.

Satellites provide valuable surface observations, while direct measurements at depth are limited. The challenge is connecting what we can see with what we cannot easily observe.

SURFACEDEPTH
02THE IDEA

WHAT IS
OCEANEMBED?

OceanEmbed is a deep-learning framework that uses surface observations to reconstruct subsurface ocean temperature.

It learns relationships between observable surface signals and conditions below the surface.

01

SATELLITE DATA

Surface observations provide the starting signals.

03

SUBSURFACE
RECONSTRUCTION

Learned patterns become estimates of temperature at depth.

OBSERVELEARNRECONSTRUCT
03THE PURPOSE

WHY DID
WE BUILD IT?

Because the ocean surface tells only part of the story.

Ocean surface observation
01

OBSERVE

Start with the signals available at the surface.

Satellite observation
02

LEARN

Find relationships hidden inside complex ocean data.

Underwater ocean
03

UNDERSTAND

Use those patterns to explore what lies beneath.

04THE PROCESS

HOW DOES
IT WORK?

From satellite observations to a deeper picture of the ocean.

01INPUT

SATELLITE

OBSERVATIONS

Signals captured from the ocean surface.

02DATA

SURFACE

DATA

Multiple environmental signals become model inputs.

03CORE

MODEL

LEARNING

Deep learning discovers relationships within the data.

04OUTPUT

RECONSTRUCTION

DEPTH

Subsurface temperature is reconstructed across depth.

05CHECK

VALIDATION

ARGO

Independent observations help evaluate the reconstruction.

05THE PEOPLE

WHO CAN
USE IT?

Built for people who want to explore, interpret, and understand ocean data.

RESEARCHERS
01

RESEARCHERS

Investigate ocean behaviour and patterns using deeper ocean information.

DATA SCIENTISTS
02

DATA SCIENTISTS

Explore how machine learning can uncover patterns inside environmental data.

ENVIRONMENTAL SCIENTISTS
03

ENVIRONMENTAL SCIENTISTS

Use reconstructed ocean information to understand changing conditions.

STUDENTS
04

STUDENTS

Explore ocean science through data, technology, and visual discovery.

06THE REACH

WHERE CAN
IT HELP?

From climate understanding to scientific exploration and education.

OCEANEMBED
CLIMATE

Understand the ocean's role in climate systems.

RESEARCH

Support deeper scientific investigation.

MONITORING

Build a clearer picture of changing conditions.

EDUCATION

Make complex ocean science easier to explore.

DATA

Turn environmental information into insight.

Ocean currents
CLIMATE
HEAT
CIRCULATION
ECOSYSTEMS
07THE BIGGER PICTURE

WHY DOES
IT MATTER?

Understanding subsurface temperature helps reveal the deeper dynamics of our ocean.

Ocean heat, circulation, climate, and ecosystems are connected. Seeing deeper gives us a better way to explore those connections.

THE QUESTIONWHAT ELSE CAN WE LEARN WHEN THE OCEAN IS NO LONGER HIDDEN?
OCEANEMBED

LET'S EXPLORE
DEEPER.

Have questions, ideas, or want to explore OceanEmbed further?

OCEANEMBED · SIH 2026

LOOK
DEEPER.

THE SURFACE IS ONLY THE BEGINNING.

SURFACELEARNINGDEPTH