Improved deposition modelling based on combining state-of-the-art atmospheric dispersion simulations and numerical weather data

Recruitment (M/V/X)

Atmospheric transport and dispersion models are necessary tools to assess the impact of radioactive gases and particulates released into the atmosphere. Such releases can occur routinely or accidently during nuclear activities. The released radioactive gases and particulates, except for noble gases, are subject to wet deposition under influence of precipitation. Wet deposition can locally result in high levels of radioactive surface contamination, and therefore an accurate modelling system is important to correctly estimate the contamination and its impact on the population. However, wet deposition and its driver, precipitation, are both difficult to model. During this PhD, several methods will be explored to understand these uncertainties and to improve deposition modelling, taking advantage of the latest developments in numerical weather prediction modelling and radar data.

More information can be found on the website of SCK·CEN

If you need more feedback, you can contact:

Promoter: Piet Termonia, (Universiteit Gent (UGent)), piet.termonia@ugent.be

SCK•CEN Mentor: Johan Camps, jcamps@sckcen.be, +32 (0)14 33 27 61      

KMI-IRM  Mentor: Andy Delcloo, Andy.Delcloo@meteo.be, +32(0)2 373 05 96          

 

When you want to apply, please follow this link       

             

Deadline for applying is 25th of March 2020.

 

Improved deposition modelling is the next PhD topic we are introducing in collaboration with the Royal Meteorological Institute of Belgium (RMI-KMI-IRM), the Belgian Nuclear Research Centre (SCK*CEN) and Ghent University.

More information on our websites, deadline to apply is 25th of March 2020.