TeamProject

GeOceanographers — Team Project

This folder contains all materials for the GeOceanographers team project in MLGEO-2026. Our project uses machine learning to predict ocean surface pCO2 from satellite and buoy observations across various NOAA coastal monitoring sites and open ocean vessel monitoring campaigns.

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Folder Contents

TeamProject/
├── README.md                                  ← You are here
├── GeOceanographers Intro Presentation.pptx   ← Team introduction slides
└── GeOceanProject/                            ← All project code, data, and documentation
    ├── README.md                              ← Technical guide: setup, notebooks, and run order
    ├── requirements.txt
    ├── notebooks/                             ← Analysis notebooks (exploration → prep → training)
    ├── data/                                  ← Raw, processed, and training data + workflow docs
    ├── plots/                                 ← Visualization outputs
    └── docs/                                  ← Data source documentation

Where to Go

What you need	Where to find it
Run the analysis or understand the code	GeOceanProject/README.md — setup, directory layout, notebook run order
Understand the data processing pipeline	GeOceanProject/data/DATA_ANALYSIS_WORKFLOW.md — step-by-step walkthrough with diagrams
Learn about the NOAA buoy dataset	GeOceanProject/docs/NOAA_BUOY_DATA_README.md — data source details and methodology
Regenerate data files from scratch	GeOceanProject/data/DATA_REGENERATION_GUIDE.md

Team Members

• Mary, Colin, Ellie, Arya

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Part of the GeOceanographers repository for MLGEO-2026.