Start Date
Immediate
Expiry Date
07 Feb, 25
Salary
86824.0
Posted On
09 Nov, 24
Experience
0 year(s) or above
Remote Job
No
Telecommute
No
Sponsor Visa
No
Skills
Shell Scripting, Precipitation, Fortran, English, German, Datasets, Remote Sensing, Data Assimilation, Python, Cloud, Radar, Environmental Science, Lidar
Industry
Information Technology/IT
ABOUT THE TEAM
This position is based in the Physical Processes Team, responsible for the improved representation of atmospheric processes in the ECMWF forecast model and the exploitation of cloud and precipitation related observations for assimilation and model evaluation. The team is part of the Earth System Modelling Section of the Research Department. The successful candidate will report to the Physical Processes Team Leader and will work in close collaboration with teams in the Earth System Assimilation Section.
At ECMWF, you will find a passionate community, collectively aiming to build world-leading global Earth system models for numerical weather prediction. This effort supports ECMWF’s strategy of producing cuttingedge science and world-leading weather predictions and monitoring of the Earth system.
EDUCATION
EXPERIENCE, KNOWLEDGE AND SKILLS
THE ROLE
We have an exciting opportunity for a highly motivated scientist to advance our exploitation of satellite data in the ECMWF’s global forecasting systems. The role is to work on the first-ever operational NWP monitoring and assimilation of space-borne cloud profiling data using measurements from the ESA-JAXA EarthCARE satellite, recently launched in May 2024. The successful candidate will exploit novel aerosol, cloud and precipitation-related observations from EarthCARE with a focus on lidar measurements, by further developing existing observation operators, optimizing the assimilation system, performing assimilation experiments and evaluating the impact on the analysis and forecasts. Once benefit has been shown, EarthCARE data will be included in the ECMWF 4D-Var data assimilation system to directly improve operational global numerical weather prediction.
The successful candidate will work with a small team on the ECMWF-led monitoring and assimilation component of the European Space Agency (ESA) funded Data, Innovation and Science Cluster (DISC) for the EarthCARE satellite. The aim of the DISC is to make new observational products exploitable as soon as possible after their launch and to make innovative use of the new information to push forward science and development. The DISC includes over 15 partners from across Europe, therefore some travel to meetings is expected.
MAIN DUTIES AND KEY RESPONSIBILITIES