|From||Roger Brugge <firstname.lastname@example.org>|
|Date||Tue, 13 Sep 2016 09:51:45 +0000|
This link was missing in the original advert: http://www.reading.ac.uk/about/jobs/about-job-details.aspx?vacancy_id=722045BEPR === 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 (email@example.com<mailto:firstname.lastname@example.org>)
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