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February 2015
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[Met-jobs] PhD position at the University of Innsbruck

From "Rotach, Mathias" <Mathias.Rotach@uibk.ac.at>
To "'met-jobs@lists.reading.ac.uk'" <met-jobs@lists.reading.ac.uk>
Date Mon, 2 Feb 2015 08:40:43 +0000

To the Met-jobs list administrators

 

Please disseminate the attached Opening for a PhD position.

 

Best regards

Mathias

 

***************************************

Prof. Dr. Mathias Rotach

University of Innsbruck

Institute of Meteorology and Geophysics

Innrain 52

A-6020 Innsbruck

+43 (0)512 507 54452

e-mail: mathias.rotach<at>uibk.ac.at

 

 

 

PhD position

Institute of Meteorology and Geophysics, University of Innsbruck

 

Start:          Screening will begin immediately but applications will be considered at least until Feb. 23 2015

 

Title:           Multi-site Weather Generator for complex-terrain applications in snow hydrology

 

Summary:   A doctoral position in Atmospheric Science / Applied Mathematics at the University of Innsbruck is available. The position is within the framework of an ÖAW project (HydroGeM3) and deals with the application of random fields in stochastic processes for the benefit of a stochastic ‘weather generator’.

 

Overview

Climate scenario projections suffer from the relatively coarse resolution even of regional climate models. If they are to be employed in applications demanding high spatial resolution (order 100m) as usually is the case in snow hydrology – snow forecast for winter tourism or  water availability for hydropower generation, to name a few – usually a statistical downscaling approach is required. So-called weather generators (WGs) are one possibility for this task, which – essentially – create an arbitrarily long synthetic ‘weather series’ constrained by the available climate information (average and variability of individual variables, correlations and lag-correlations among the variables, and other statistics of the real-world weather). Most generally, WGs produce site-specific statistically consistent time series of atmospheric variables. Many of those atmospheric variables – and in particular those related to precipitation – do not only need to be statistically consistent but also spatially coherent. Several approaches have been proposed to ‘spatialize’ WGs – and in the present project we want to explore these, with a focus on precipitation (fluid or solid) in complex, i.e. mountainous terrain. As a particular new approach the theory of random fields and stochastic processes will be used to work out, test and implement a conceptual framework to constrain the spatial correlation of the stochastic process(es) at each grid point thus ensuring the spatial consistency of the generated ‘weather patterns’.

 

The work will be performed in the framework of a project called HydroGeM3 and financed by the Austrian Academy of Sciences that is embedded in a larger project with a focus on snow modeling, weather analysis and implications of snow-hydrological conditions in an alpine region. It will be jointly supervised between Dynamic Meteorology (Institute of Meteorology and Geophysics) and Engineering  Mathematics (Institute of Basic Sciences in Engineering Science) at the University of Innsbruck and within the framework of a (yet to be formalized) Doctoral School in High Performance Computing.

 

Applicants are expected to have a strong background in atmospheric sciences and (applied) mathematics and /or geostatistics. Further information can be obtained from

 

Prof. Dr. Mathias Rotach

Institute of Meteorology and Geophysics, University of Innsbruck

Mathias.rotach<at>uibk.ac.at

 

Please send your letter of interest, full CV, name and contact of two references to the above address.

 

 

 



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