met-jobs@lists.reading.ac.uk
September 2016
Message 47

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[Met-jobs] New position working on sub-seasonal predictability, Reading, UK

From Roger Brugge <r.brugge@reading.ac.uk>
To "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Date Tue, 13 Sep 2016 09:35:13 +0000


A new 24-month position working on sub-seasonal predictability is available at 
the University of Reading. The research scientist will examine sub-seasonal 
predictability in the North Atlantic sector, working closely with an industrial 
sponsor. The post-holder will be expected to work with a set of hindcast data 
available from the S2S project to meet the following objectives:

- Developing an extendable statistical methodology for diagnosing and assessing 
skill, uncertainty and bias under the main Euro-Atlantic weather regimes for 
variables and regions of interest to the sponsor
- Assessing how regimes and their transitions affect predictability by using an 
EOF phase index (similar to the MJO RMM index)
- Performing (if thought beneficial and depending on the results from the main 
weather regimes) a more tailored regime analysis using the best available 
method (e.g. Self Organising Maps)
- Assessing if the predictive skill is conditional on global/remote drivers 
such as the MJO, ENSO, QBO, anomalous stratospheric events, PDO, SST patterns 
and surface forcings such as sea ice, snow and soil moisture anomalies
- Determining if gains in skill and predictability are model dependent

You will have:

- A willingness to work closely with an industrial partner to produce work 
which is both scientifically novel and applicable to immediate real-world 
application
- A creative, problem-solving approach to science and a desire to find new ways 
to interrogate and understand very large atmospheric datasets
- A strong background in understanding the dynamics of the climate system and 
the impact of dynamics on predictability

You will be working with a team of research scientists with expertise in 
different areas of the climate system which influence sub-seasonal 
predictability (Stratosphere: Andrew Charlton-Perez; Tropics/MJO: Steve 
Woolnough & Nicholas Klingaman; North-Atlantic storm-track: David Brayshaw) and 
an interest in understanding the applications of this predictability.

Informal enquires to Andrew Charlton-Perez 
(a.j.charlton-perez@reading.ac.uk<mailto:a.j.charlton-perez@reading.ac.uk>)



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