Summer School: Geophysical data inversion and numerical forward modelling
Geophysical data inversion and numerical forward modelling
Carlingford, Ireland – 14th-20th May 2023
Deadline for Registration: 3rd April 2023
IMPROVE is a H 2020 Marie-Sklodowska Curie Innovative Training Network for the next generation of European volcanologists. Early Stage Researchers in IMPROVE are trained while developing research on quantitative volcanology, from innovative monitoring and prospecting to advanced lab experiments, High Performance Computing, Machine Learning and Artificial Intelligence. IMPROVE organizes schools, short courses, and other training and scientific meetings open to participants from outside the network.
KEY TRAINING ELEMENTS
Geophysical data inversion and numerical forward modelling are key elements in the study of volcanoes. Physics based inversion allows the estimation of a population of models by extracting information from observed data, while forward modelling tools can yield a prediction of the expected data, given a model. Combined use of these approaches permit estimates of volcano source parameters and volcano structure. In the Ireland School we will consider theoretical and practical aspects of both data inversion and forward modelling, drawing on examples from seismic & acoustic (infrasound) source estimations, volcano deformation and volcano imagery using seismology and magnetotellurics. We will also briefly consider the relative merits of physics based versus data driven inversion (e.g. Deep Learning – DL), and briefly explore new hybrid inversion approaches where physical laws are incorporated into DL data driven schemes. Finally the School will also cover topics such as project management, research leadership, and good communication.
|May 14:||Arrivals (late afternoon) & ice-breaker|
|May 15:||- Inverse theory: turning data into models;
- *Mini workshop on preparing material for Open Day
|May 16:||- Inverse Theory practicals;
- Forward modelling: predicting data from a model;
- Sea Kayaking (weather permitting).
|May 17:||- Forward modelling practicals;
- Public Open Day;
- **Poster session, BBQ.
|May 18:||- Field trip to Giant’s Causeway columnar basalts; Co. Antrim|
|May 19:||Open format on:
- Project management;
- Research leadership;
- Good communication;
|May 20:||Departures in the morning|
*Particpants will be expected to collaborate (online) to prepare material in advance of the school.
** Participants are expected to bring a poster outlining their research work.
There will also be a special presentation on the Hunga Tonga–Hunga Haʻapai eruption, as part of the School.
Preliminary list of lecturers: Silvio De Angelis, Duygu Kiyan, Ivan Lokmer, Chris Bean, Paddy Smith, Ka Lok Li, Emma Chambers [… additional lecturers & updates coming shortly]
PhD candidates and early stage post docs with little to no prior knowledge of inversion and forward modelling.
Each student will pay a contribution towards the true costs. This includes accommodation in double or triple rooms, breakfast, lunch, coffee breaks and dinners. The cost of school materials, transfers to and from Dublin airport at scheduled times, field trip and kayaking, will be covered by the IMPROVE Project. The estimated maximum cost is €470 (accounting for possible inflation).
The school is open to a maximum of 15 students, besides IMPROVE fellows. Participants will be selected on the basis of demonstrated relevance of the school for their research and career development.
Deadline for Registration: 3rd April 2023
Information on Acceptance: 10th April 2023
Although Ireland is an EU member state, it is not part of the Schengen travel area. Therefore, it is the responsibility of non-EU citizens to determine if they require a visa to travel to Ireland. Applicants who have been offered a place on the School will be offered a letter of acceptance, if they need one for visa purposes.
The School will be held in the small coastal village of Carlingford, about half way between Dublin and Belfast.
There is easy access to Dublin airport. The village is vibrant but isolated, ideal for a week of both science and fun.