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Job Record #19180
TitleNumerical downscaling for climate change adaptation
CategoryPhD Studentship
EmployerUniversity of Bologna
LocationItaly, Italy, Bologna
InternationalYes, international applications are welcome
Closure DateFriday, June 28, 2024
Description:
A PhD position is available in the Atmospheric Physics group at the University 
of Bologna. The fellowship is part of the FutureData4EU project, funded by the 
European Marie Curie (MSCA) COFUND project.

Short description: 

The candidate will be included in the atmospheric physics team and will work in 
the area of numerical microclimate simulation in urban environments, combining 
Computational Fluid Dynamics (CFD) techniques with mesoscale meteorological 
simulation techniques. A solid background in either CFD (use of OpenFOAM) or 
meteorological simulations (use of WRF model) is strongly recommended.

All details and information here: https://site.unibo.it/futuredata4eu/en/phd-
program

Long Description:

The research project focuses on the development of downscaling procedures from 
synoptic to micro-meteorological scales. The state-of-the-art research in the 
field of developing measures for mitigating and adapting to the effects of 
climate change has seen extensive use of numerical simulation technology, both 
in terms of forecasting derived environmental and socio-economic risks, and in 
assessing the effectiveness of possible countermeasures to be taken to deal with 
these risks. The decade-long development of numerical modelling techniques has 
fostered the availability of increasingly reliable tools for climate predictions 
and projections at global or synoptic scales; however, the question of how to 
project this information through downscaling procedures to smaller scales and in 
particular regional scales (~10 km) and local microscales (~1 km) still remains 
open. In particular, the downscaling of synoptic scales to local microscales is 
of the greatest importance from the perspective of environmental risk assessment 
and the effectiveness of mitigation and adaptation measures, especially in urban 
settings, and for which there is a knowledge gap in the current literature. 

This is crucial to deliver authoritative and usable environmental and climate 
information that is relevant at the local scale where actions are planned and 
implemented. This project aims to address this issue by developing a general 
methodology, modelling and numerical tools to downscale climate outputs on the 
local microscale in order to assess the risks associated with climate change. 
The winning candidate will use state-of-the-art models for meteorological 
forecasting (e.g. WRF software) and computational fluid dynamics (e.g. OpenFOAM 
software).

The project itself has a multidisciplinary component and involves expertise in 
climatology, meteorology and the physics of small-scale atmospheric processes. 
It is planned to involve the Atmospheric Physics group in which these 
competencies are represented. The scientific skills required are mainly 
meteorological, with a solid knowledge base in the discipline and excellent 
skills in the use of the Weather Research and Forecasting (WRF) model as well as 
computational fluid dynamics (CFD).

Deadline:  June 28th, 2024, at 2:00 pm CEST

Annual salary: €27,238.83 (gross salary excluding employer’s contributions to 
tax and social security).

Application form: https://site.unibo.it/futuredata4eu/en/phd-program

Ref. to position "Numerical downscaling at the local microscale for the 
evaluation of climate change adaptation and mitigation measures", pag. 132 of 
the "Call for Applications"
Contact Information:
Please mention the CFD Jobs Database, record #19180 when responding to this ad.
NameCarlo Cintolesi
Emailcarlo.cintolesi@unibo.it
Email ApplicationYes
URLhttps://site.unibo.it/futuredata4eu/en/phd-program
Record Data:
Last Modified13:26:53, Sunday, May 19, 2024

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