“Ocean/Atmosphere Time Series Analysis: Theory and Practice” is a two-week course that introduces students to classical as well as cutting-edge techniques for analyzing time series in oceanographic, atmospheric science, and climate applications. Beginning with a solid understanding of the link between time-domain and frequency-domain analyses, we will proceed from simple smoothing, to Fourier spectral estimation, to time-frequency methods such as the continuous wavelet transform. Students are expected to bring a dataset of their own choosing and may participate using either Python or Matlab. A final project will consist of applying the methods taught in the course to the student’s dataset and interpreting the results.
Lecturer: Dr. Jonathan Lilly (website), Planetary Science Institute
Dates: 17-28 March 2025 (Monday to Friday) in person only
Time: 10:00-15:00h daily, inclusive of a lunch break.
Participants: Oriented for current PhD students or postdoctoral researchers in oceanography, atmospheric science, or climate studies. Master's students, and students from other fields, are welcome to apply, and should explain the rationale for their participation at the time of application.
Application: Total number of participants is limited to 40 (external and internal). 25 places are reserved for Experimental Oceanography (TERIFIC), IMPRS-ESM and TRR181.
Please see the two PDFs for full details (Choosing a Dataset.pdf and Student Expectations.pdf).
Timeline: Registration to open from 9 December. Decisions will be made on a rolling basis (1-2 weeks) for PhD students and postdocs of the above programs. For external participants and Master's students, please complete the application form by 15 January for full consideration. Masters students will be accepted on a case-by-case basis.
