|From||"Roger Brugge" <email@example.com>|
|Date||Wed, 9 Mar 2016 18:40:02 +0000|
PhD position opening mid-2016 Topic: ensemble prediction of thunderstorms Location: CNRM, Météo-France, Toulouse (France) Main supervisor and contact point: François Bouttier (firstname.lastname@example.org) Context: ensemble prediction has become a key forecasting tool for low-predictability weather events such as thunderstorms. The principle of ensemble prediction is to randomly perturb a small (~15) set of numerical simulations of the atmosphere, to sample in real time the distribution of probabilities of the weather forecast. Thanks to rapid progress in numerical weather prediction models and computing resources, it is now becoming feasible to issue operational ensemble predictions at kilometric resolutions over whole countries. Delivering substantial progress in forecasting thunderstorms with these tools is possible if specific progress is made in the modelling and validation techniques of these rather special physical events. Objectives: the focus is on thunderstorm-generated rain, gusts, hail, and air traffic hazards, over low-elevation areas. The objective of the work will be to improve and to validate Arome-EPS (a state of the art numerical weather prediction system) in terms of these parameters. There will be four themes, to be tackled using appropriate software development, numerical experimentation and data analysis: • forecast validation using radar and lightning detection networks • building statistically sound samples of heavy thunderstorm events using high-resolution reanalysis techniques • design, development and testing of innovative representations of model error in the ensemble prediction system • connection between numerical weather prediction and nowcasting systems. Required experience and abilities: candidates are warned that the Ph.D involves applying physical and mathematical thinking to complex numerical modelling software and large datasets. Thus, motivation and prior experience with the highly technical fields of numerical modelling and atmospheric physics are strongly recommended. • high-level training in atmospheric physics • experience with numerical models of the atmosphere (or related fields) • understanding of statistics, data analysis and scientific methodology • ability for independent development and troubleshooting in basic Unix shell, python, fortran90 • oral and written presentation of scientific results in English • scientific work in a team The working environment will provide technical & scientific support and training at the appropriate level for a Ph.D. It will be possible to work in English, some notions of French are recommended for everyday life in the area. The job offer is targeted for students who are completing their training in relevant academic fields. Candidates will be asked to provide a CV, motivation letter, and some scientific documentation on their previous work (e.g. internship report in a related field). Funding for the Ph.D is not yet confirmed, the purpose of this job offer is to preselect suitable candidates for funding opportunities that are expected in spring/summer 2016. For further information about the CNRM laboratory and this Ph.D topic, please check: http://www.cnrm-game-meteo.fr
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