The results of combining the different new dry and wet deposition methods have not been studied and it would be beneficial to study these methods further. A key aim of this master project would be to understand better how the dry and wet parameterization schemes interact and recommend which combinations of the methods are most optimal for radioactivity modelling. The student should work with the following.
- Acquire knowledge of the Chernobyl accident and the dispersion of radionuclides that followed.
- Get acquainted with the available radioactivity measurements from the Chernobyl case
- Learn about the wet and dry deposition methods applied in the SNAP emergency preparedness model at MET and learn how to set up and run the SNAP model
- Carry out SNAP model simulations with different combinations of the wet and dry deposition models
- Analyse and evaluate the model runs
Thesis key tools:
SNAP preparedness model at MET and observational dataset sampled after the Chernobyl accident.
Recommended background:
Bachelor in meteorology (or any comparable subject), basic mathematical, physical, and computational skills, and knowledge of Python and Linux.
