|From||Roger Brugge <firstname.lastname@example.org>|
|Date||Mon, 5 Dec 2016 13:40:03 +0000|
We have a fixed-term, 24-month opportunity to work on sub-seasonal predictability 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 For more details please see the link here: https://jobs.reading.ac.uk/displayjob.aspx?jobid=240&Source=JobtrainSocial#.WEVYozwh2qQ.email or contact Andrew Charlton-Perez (email@example.com<mailto:firstname.lastname@example.org>).
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