Qualifications
Master of Science (University of Chile)
Doctor of Philosophy (University of Auckland)
Research Interests
My research focuses on volcanoes, geysers and geothermal fields.
I use geophysics, python and math to infer the physical properties of these systems.
My guiding principle is applying geophysical methods combined with computational and mathematical techniques to develop innovative solutions led by modelling under uncertainty with a strong commitment to effective communication for supporting decision-making processes.
Currently, I'm focusing on volcano eruption forecasting using seismic data combined with machine learning.
These new techniques could be extremely useful for volcanic data analysis that could potentially revolutionise how volcanic observatories and volcanic hazard management currently monitor and interpret seismic data:
- Volcanic data analysis
- Geothermal fields exploration and geysers research
- Inverse modelling and uncertainty quantification
- Computational techniques
Recent Publications
- Ardid A., Dempsey D., Caudron C., Cronin SJ., Miller CA., Melchor I., Syahbana D. and Kennedy B. (2023) Using Template Matching to Detect Hidden Fluid Release Episodes Beneath Crater Lakes in Ruapehu, Copahue, and Kawah Ijen Volcanoes. Journal of Geophysical Research: Solid Earth 128(10) .
- Ardid A., Dempsey D., Caudron C. and Cronin S. (2022) Seismic precursors to the Whakaari 2019 phreatic eruption are transferable to other eruptions and volcanoes. Nature Communications 13(1) .
- Dempsey DE., Kempa-Liehr AW., Ardid A., Li A., Orenia S., Singh J., Tyler AJ. and Cronin SJ. (2022) Evaluation of short-term probabilistic eruption forecasting at Whakaari, New Zealand. Bulletin of Volcanology 84(10) .
- Ardid A., Archer R., Bertrand E., Sepulveda F., Tarits P. and Dempsey D. (2021) Heat Transfer Through the Wairakei-Tauhara Geothermal System Quantified by Multi-Channel Data Modeling. Geophysical Research Letters 48(8) .
- Ardid A., Dempsey D., Bertrand E., Sepulveda F., Tarits P., Solon F. and Archer R. (2021) Bayesian magnetotelluric inversion using methylene blue structural priors for imaging shallow conductors in geothermal fields. Geophysics 86(3): E171-E183. .
