|From||Michael Herzog <firstname.lastname@example.org>|
|Date||Wed, 19 Jul 2017 16:40:45 +0100|
Applying a new adaptive multi-scale atmospheric modelling framework (Post-doctoral Research Position, fixed term)
The Department of Applied Mathematics and Theoretical Physics and the Department of Geography at the University of Cambridge is looking for a joint Post-doctoral Research Associate to work on high-resolution (LES) simulations of atmospheric processes. A new multi-scale atmospheric modelling framework will be used in two applications: the simulation of extreme precipitation events in coastal areas and the study of atmospheric pollution in an urban context. The influence of climate change and limits of predictability will be assessed. In addition, existing physical parameterisations such as cloud microphysics, radiation, surface fluxes and turbulent mixing will be further developed within a new multi-scale atmospheric modelling framework.
The post is part of two projects: the European Consortium PEARL http://www.pearl-fp7.eu - Preparing for Extreme And Rare events in coastaL regions - and the UK consortium MAGIC http://www.magic-air.uk - Managing Air for Green Inner Cities. The main goal of PEARL is to develop adaptive risk management measures and strategies for coastal communities against extreme hydro-meteorological events. MAGIC aims to develop a new modelling capability and decision support system to reduce air pollution and temperatures in cities.
In collaboration with Imperial College, London a new adaptive multi-scale multi-physical atmospheric modelling framework has been developed by combining existing physical modules from the Cambridge LES model ATHAM (Active Tracer High-resolution Atmospheric Model) with Imperial College's dynamical core FLUIDITY on an unstructured mesh that allows for grid adaptation. Simulations of past and hypothetical future test cases will be performed. For PEARL, one of the selected case studies will be investigated in greater detail and input will be provided to wave, ocean and hydrological models for the assessment of flooding and its impact in coastal environments. Within MAGIC, air pollution on building to neighbourhood scales will be assessed. To this end, a number of physical processes such as radiation, surface fluxes and sub-grid turbulence within ATHAM-FLUIDITY will be improved. An atmospheric chemistry module will be added.
The post involves travel to international conferences and project meetings. There will be the possibility to co-advise doctoral students and potentially other teaching opportunities.
Applicants should have a doctorate in atmospheric physics or a related field and ideally a strong background in high-resolution modelling of atmospheric processes. Proficiency in computer programming (e.g. FORTRAN) and model development is expected. Experience with cloud aerosol microphysical and surface flux parameterisations or atmospheric chemistry is advantageous.
Informal inquiries should be directed to Dr Michael Herzog by email, email@example.com.
Fixed term: The funds for this post are available for 24 months
in the first instance.
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