Zoe Ludena


Zoe Ludena is a data science major and business economics minor. She has been passionate about the environment since high school where she volunteered for the San Diego Safari Park with Conservation Corps. She is driven to help teach others about climate change to inspire informed decision-making.

Ylesia Wu


Ylesia Wu is a senior data science major at the University of California San Diego. She likes singing and ice skating.

Eric Pham


Eric Pham is a senior data science major and oceanic & atmospheric science major at UCSD. He is mainly interested in climate science, specifically modeling. In his free time, he enjoys playing tennis and crocheting.

Duncan Watson-Parris


Duncan Watson-Parris is our fabulous mentor and helped us along the way to create this project. He is an atmospheric physicist who works at the interface of climate research and machine learning.

Group Picture


Click for Contributions

Zoe Ludena:

  • Re-created the Gaussian Process Emulator from the ClimateBench.
  • Re-created the CNN-LSTM Emulator from the ClimateBench.
    • Attempted finding hyperparameters but was unsuccessful in producing something as good or better than the original.
  • Created the SeeRise website.
    • Created Figures (and content), Team (Zoe and Duncan’s profiles), and App pages (embedded application).
  • Created the SeeRise application.
    • Developed the front end, interactive components, and static figures.
    • Wrote commentary and explanations.
    • Added to DEM visualization.
    • Input datasets for Gaussian Process and CNN-LSTM emulators for sea level rise.
  • Added figures and writing to the poster.
  • Edited and wrote Q2 Report.

Ylesia Wu:

  • Re-created the Random Forest Emulator from the ClimateBench.
    • Hyperparameter tuning: Improved the model compared to the original in terms of range of temperature predicted.
  • Explored directly predicting sea level rise from TAS and year.
  • Explored other interpolation methods for the trajectory of CO₂ concentrations.
  • Created first draft of the poster.
    • Implemented poster requirements.
    • Organized content.
  • Input datasets for Random Forest emulator for sea level rise for the SeeRise application.
  • Added personal bio to the SeeRise website.
  • Edited and wrote Q2 Report.

Eric Pham:

  • Refactored the Pattern Scaling Emulator from the ClimateBench to take in cumulative CO₂ emissions as input.
  • Found DEM data source. Developed code to create DEM visualizations on the SeeRise application. Also added/edited commentary and explanations on the SeeRise application.
  • Implemented pipeline to re-create Rahmstorf’s paper.
    • Using Rahmstorf’s 2007 semi-empirical model of sea level rise, created regression models trained on different quantile projections from NASA.
    • Also trained on historical data to ensure that the Rahmstorf method is an appropriate way of approximating sea level rise.
  • Modified NASA’s expected value to match the years we used (2015-2100). Preprocessed the NASA datasets for a usable format for the Rahmstorf model files.
  • Added personal bio to the SeeRise website.
  • Input datasets for Pattern Scaling emulator for sea level rise for the SeeRise application.
  • Added writing to the poster.
  • Edited and wrote Q2 Report.