Research

Climate intervention
Climate intervention is the study of potential methods to intervene in the Earth system to reduce the risks of climate change alongside actions to reduce greenhouse gas emissions. I study stratospheric aerosol injection: a proposal to place reflective particles in the upper atmosphere, cooling the planet by blocking a small portion of incoming sunlight. I use output from Earth system modeling experiments to identify potential risks and benefits of this approach.


I led a project to create a set of four short animated videos describing climate intervention for a general audience, focused on the work done by the Barnes, Hurrell, and Keys groups at CSU and our collaborators. Check them out at the Barnes Group website! [link]

PUBLICATIONS


SELECTED CONFERENCE ABSTRACTS

Atmospheric ice growth
Ice habit diagrams display the shapes of ice as a function of thermodynamic conditions. Many diagrams in the scientific literature and in educational materials do not reflect the most recent science. In my undergraduate research, I created a new ice diagram based on up-to-date research. This diagram was specifically designed to be useful for students and non-ice microphysics experts, and to facilitate meteorological data visualization.


PUBLICATIONS
Hueholt, Daniel M., Sandra E. Yuter, Matthew A. Miller, 2022: Revisiting Diagrams of Ice Growth Environments. Bulletin of the American Meteorological Society. doi.org/10.1175/BAMS-D-21-0271.1


SELECTED CONFERENCE ABSTRACTS

Data-driven methods
Data-driven methods such as machine learning can yield valuable insights on large datasets and nonlinear systems. Since these methods encode biases in data into their future performance and are often difficult to analyze, understanding the datasets we use is critical to ensure trustworthy and reproducible performance. In co-led work with Charlotte Connolly, we adapt best practices from software engineering to transparently document biases and technical aspects of Earth science datasets through an iterative process based on community feedback. Improved dataset curation supports the scientific enterprise in general and lower barriers to entry for the field by making public information that may otherwise be confined to internal networks.


PUBLICATIONS


In addition, I design educational materials to help practitioners use data-driven methods and understand their limitations.

Other research interests: ethics and philosophy of science, science communication, mesoscale meteorology, atmospheric waves, software development, remote sensing, topology, data visualization


Broader interests: classical music, music history, birds, plants, reading, chess