Region: Exeter, South West
Country: United Kingdom
Agreement Type: Temporary – 2 years
Salary Information: £21,675 and for exceptional candidates up to £29,100 + competitive benefits including Civil Service Pension
The Met Office, as a world leading authority in meteorology, produces and delivers weather forecasts from a range of deterministic and ensemble numerical weather prediction models, which are
used to generate a wide array of products to deliver to customers worldwide. Post-processing of the raw model data is currently used both to further improve quality of the data and derive additional forecasts, such as the nowcasts (rapidly updated with the
latest observations to provide prediction for the next few hours). The Product Generation System is also used reformat the data and to directly generate many of the products.
The Gridded and Site-Specific Post-Processing teams are responsible not only for improving the science, and supporting and developing the existing system, but also for driving forward a range of strategic initiatives, working closely with Technology and Information
Services (TIS) and other Science teams to achieve this.
Site-specific post-processing blends forecasts from various sources to provide a single 'best' forecast out to two weeks ahead which is continually kept up to date. This data process will be streamlined to use standard processing, software and scientific data
formats, cover a wider range of parameters and better coverage of sites.
In the future, the gridded post-processing will be used to provide standard forecast information, isolating downstream users from model changes, with all gridded data being delivered through the post-processing suite. The site-specific blending approach will
be extended to the gridded forecasts to provide a seamless best gridded forecast from minutes to 2 weeks ahead. The gridded data process will also be streamlined to use standard processing, software and scientific data formats.
Job Purpose: To apply scientific and technical knowledge to contribute to the definition and delivery of post-processed weather
forecast data, which most optimally meets the evolving customer need.
Job Responsibilities: Improve the science of the post-processing system; this includes the development of new, and enhancement of
existing, methods for the physical, dynamical and statistical correction of model forecast data and for extrapolation nowcasts.
Contribute to the definition, development and implementation of a seamless, best weather forecast; this includes the development of optimal methods for combining forecasts from multiple sources.
Contribute to the development and implementation of a post-processing system, delivering standard forecast information, independent of numerical weather prediction model changes.
Help pull-through numerical weather prediction model improvements into weather forecast products.
Liaise with customers to understand their requirements and inform the definition and delivery of standard weather forecast information best meeting their needs.
Work closely with Technical & Information Services to develop and implement a streamlined data process using standard processing, software and scientific data formats.
Help maintain and support the gridded post-processing system.
Essential Qualifications, Skills & Abilities:
Good honours degree in a physical-/mathematics-based science (2.1 or above) or demonstration of equivalent experience.
Scientist: Relevant PhD or equivalent research experience
2. Demonstrates an ability to apply a broad scientific knowledge to specific problems and scenarios.
Foundation Scientist: Evidence of the ability to learn and apply simple technical and analytical techniques to basic scientific problems.
Scientist: Demonstrates good scientific knowledge of own subject area and ability to recognise potential for scientific investigations and learn new techniques/knowledge and apply them to one area of research.
3. Demonstrated ability to communicate their own scientific and technical work to other specialists.
Scientist: Ability to clearly communicate the work of their team to non-specialists.
4. Demonstrated ability to learn and apply software tools and/or programming languages.
Foundation Scientist: Experience setting up and running simple code and performing basic analysis.
5. Evidence of the ability to work and collaborate as an active and productive member of a team.
Scientist: Evidence of ability to provide scientific/technical advice to other team members.
6. Scientist: Proven ability to plan and manage your own work, with limited supervision.
7. Proven ability to develop new skills quickly.
Desirable Qualifications, Skills & Abilities:
Software programming experience in Fortran, C, python or IDL.
2. Working knowledge of one or more of the following scientific gridded data formats: netCDF, GRIB, Nimrod format, FieldsFile & PP format.
3. Knowledge and experience in atmospheric science, numerical modelling or statistical processing.
Additional Supplementary Information:
Please apply against the criteria for which your experience is most relevant. We may additionally sift your application at a level above or below the level
at which you applied. If successful in passing the sift stage, we will inform you at what level we think your experience aligns with the invitation to interview letter.
The Post-Processing system is written mainly in Fortran, with some C++, with most plotting carried out in IDL, but future developments will make use of python and Iris.
This is fixed term contract opportunity for 2 years.
Please note, if you do not currently have permission to work in the UK, we will be unable to provide this for you for this vacancy.
Closing date: 17/04/2015