Research Fellowship: Use of Atmospheric Motion Vectors in NWP
Fellowship Fixed Term Reading, UK
Uploaded 6 May 2020
The Research Fellow will join the Earth System Assimilation Section in the Research Department at ECMWF (Reading, UK). The work will be centred around the enhanced exploitation of wind information (Atmospheric Motion Vectors, AMVs) derived from polar and geostationary satellite observations of clouds and water vapour. Working in a team at the forefront of the use of satellite data in Numerical Weather Prediction, the fellow will be in charge of advancing the use of AMVs within ECMWF’s operational global weather forecast system.
- Strong computing skills are essential, with the job requiring the ability to (a) understand and modify the forecasting system, which is mainly written in Fortran-90 and Unix scripts, and (b) make statistical analyses and scientific figures using tools like IDL, Python or Metview;
- Good interpersonal and team working skills are also required, with dedication and enthusiasm to work independently as well as in a small team. Strengths in scientific analysis, synthesis and presentation are required, with good time-management skills being highly desirable;
- The Fellow should have a good university degree in Physics, Maths or Meteorology or equivalent and relevant research experience, ideally including PhD;
- Experience in satellite data analysis and/or data assimilation is particularly desirable.