GeOceanographers

Team Members: Mary Orrand, Colin, Ellie Barkyoumb, Arya

This repository contains all coursework for the MLGEO-2026 class (Machine Learning in the Geosciences, Winter 2026) at the University of Washington Department of Earth and Space Sciences.

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Repository Structure

Geoceanographers/
├── README.md              ← You are here
├── Stehekin/              ← Assignment: API-based debris flow analysis
│   ├── README.md
│   ├── API_class.ipynb
│   └── StehekinRiver.ipynb
└── TeamProject/           ← Team project: Ocean carbon cycle ML modeling
    ├── README.md
    └── GeOceanProject/    ← Project code, data, notebooks, and plots
        ├── README.md
        ├── requirements.txt
        ├── notebooks/
        ├── data/           ← Includes DATA_ANALYSIS_WORKFLOW.md
        ├── plots/
        └── docs/

Contents

Stehekin/ — Atmospheric River & Debris Flow Analysis

Class assignment using weather and hydrology APIs to characterize the December 2025 atmospheric river event and resulting debris flows on fire-burned slopes in Stehekin, WA. Uses USDA SNOTEL and NWS API data.

→ See Stehekin/README.md for full details.

TeamProject/ — Ocean Carbon Cycle ML Modeling

Team project applying machine learning to predict ocean pCO2 from satellite and buoy observations. Combines NOAA satellite SST data (JPL MUR, ~4.6 km resolution) with buoy-measured water chemistry from 7 coastal monitoring sites spanning 2013–2025.

→ See TeamProject/README.md for project overview and navigation. → See TeamProject/GeOceanProject/README.md for the full data pipeline and technical documentation. → See TeamProject/GeOceanProject/data/DATA_ANALYSIS_WORKFLOW.md for a detailed processing walkthrough.

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Getting Started

1. Clone this repository
2. Navigate to the relevant folder (Stehekin/ or TeamProject/)
3. Follow the README in each folder for setup instructions and notebook run order

Course Information

• Course: MLGEO-2026 — Machine Learning in the Geosciences
• Quarter: Winter 2026
• Institution: University of Washington, Dept. of Earth and Space Sciences