Lea Riehn

        Picture of Lea Riehn

PhD student

During my time as an undergraduate at SAMS, including a semester studying Arctic physical oceanography in Svalbard at UNIS, I gained experience in all marine-related sciences but right from the start, I was most interested in physical oceanography. My Masters taught me more about programming in different languages, machine learning and the analysis of big datasets, and now I’m ready to dive into my research project. 

Contact details:
  • Lea.Riehn@sams.ac.uk
  • +44 (0)1631 559 000

  • Linkedin

River Robots: Utilizing novel autonomous technologies, observations, and models to investigate freshwater coastal dispersion.

Shelf sea and coastal physics models still need to improve on their ability to model riverine inputs into the coastal seas, which is partly caused by poor knowledge of the riverine input itself. With novel autonomous technologies, it is now possible to continuously observe the littoral zone from the river to the coastal ocean. This will help to answer research questions on how horizontal dispersion of river input varies with tidal amplitude, wind state and river flow rate and what morphological features have the greatest impact on the dispersion of river inputs.

Additionally, it can be investigated how seasonal patterns of ocean properties like temperature, salinity and density respond to varying levels of riverine inputs. With this knowledge it can then be investigated how well models reproduce these findings.



Professor Mark Inall, SAMS





University of the Highlands and Islands

Fieldwork experience

7-day cruise on R/V Helmer Hansen

Higher Education

2021 - MSc Environmental Management (Informatics), University of Stirling

2020 - BSc (Hons) Marine Science with Arctic Studies, SAMS UHI