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trchudley/README.md

I am a glaciologist and geospatial data scientist interested in using large-scale Earth observation, geophysical fieldwork, and numerical modelling to investigate ice sheet dynamics, glacial hydrology, and ice-ocean interactions. Some of my specific research interests include the following:

  • Developing ‘big data’ Earth‑observation methods, including deep‑learning approaches, for large‑scale, automated analysis of ice sheet behaviour.
  • Understanding the coupling between ice fracture (i.e. crevasses), meltwater pathways, and ice dynamics.
  • Building open‑source tools that make glaciological methods more accessible and scalable.
  • Investigating the drivers of outlet‑glacier sensitivity to ocean forcing.
  • Using high‑resolution digital elevation models (DEMs) to monitor changes in ice‑sheet geometry and surface processes.
  • Integrating observations and theory to develop practical parameterisations of glacier hydrology within large‑scale ice‑sheet models.

By monitoring how glacier and ice‑sheet dynamics are evolving - and uncovering the processes driving those changes - I aim to improve our understanding of how these systems will respond to climate forcing through the 21st century and beyond.

Contact me: tom.chudley@bristol.ac.uk

Pinned Loading

  1. pdemtools pdemtools Public

    Conveniently search, download, and process ArcticDEM and REMA products

    Jupyter Notebook 31 7

  2. crevdem crevdem Public

    Tools for extracting crevasse location and volume from high-resolution digital elevation models, following Chudley et al. (2025).

    Jupyter Notebook 13 1

  3. crevasse-hydrology-unet crevasse-hydrology-unet Public

    Scripts to enable U-Net classification of Greenland surface hydrology from Sentinel-2 imagery, following Chudley et al. (2026).

    Jupyter Notebook

  4. glacier-strain-tools glacier-strain-tools Public

    Tools for deriving surface-parallel strain rates from glacier velocity fields.

    Jupyter Notebook