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Scientist - Atmospheric Composition and Quality Control Specialist

vor 2 Monaten


Bonn, Nordrhein-Westfalen, Deutschland ECMWF Vollzeit
About the Role

The European Centre for Medium-Range Weather Forecasts (ECMWF) is seeking a highly skilled Scientist to join our team in the Evaluation Section of the Forecast and Services Department. As a key member of our team, you will be responsible for the internal Evaluation and Quality Control activities of the atmospheric composition and greenhouse gas configurations of the Integrated Forecasting System (IFS) used for the Copernicus Atmosphere Monitoring Service (CAMS) global forecasts.

Main Responsibilities:

  • Lead the internal evaluation of continual developments of the atmospheric composition and greenhouse gas configuration of the IFS used for CAMS global forecasts
  • Evaluate atmospheric composition and meteorological aspects of the atmospheric composition and greenhouse gas configurations of the IFS, and compare performance of global and regional CAMS systems
  • Contribute to the monitoring of observations relative to atmospheric composition and greenhouse gases
  • Coordinate the Evaluation & Quality Control (EQC) activities of the atmospheric composition and greenhouse gas configurations of the IFS in collaboration with the Atmospheric Composition Section, including the technical management of related external CAMS contracts
  • Improve the provision of EQC information on the CAMS Atmosphere Data Store
  • Provide technical and scientific input to user support and training activities that are within the expertise of the successful applicant

Requirements:

  • University degree (EQF level 7 or above) or extensive and equivalent work experience in a relevant field is required
  • Experience in evaluating atmospheric composition datasets is highly desirable
  • Scientific experience with atmosphere composition forecasting is desirable
  • Extensive experience with the interpretation and processing of atmospheric composition observations from different in-situ networks and remote sensing
  • Expertise in weather or climate model evaluation methods and their statistical analysis

Desirable Skills:

  • Very good programming and scripting skills; experience with Python programming and Linus/Unix scripting will be an advantage
  • Ability to interact effectively with a range of different stakeholders (technical and non-technical audiences) across a wide range of activities

About ECMWF:

ECMWF is a world-leader in weather and environmental forecasting. As an international organisation, we serve our members and the wider community with global weather predictions and data that is critical for understanding and solving the climate crisis. We function as a 24/7 research and operational centre with a focus on medium and long-range predictions, holding one of the largest meteorological data archives in the world.

The success of our activities builds on the talent of our scientists and experts, strong partnerships with 35 Member and Co-operating States and the international community, some of the most powerful supercomputers in the world, and the use of innovative technologies and machine learning across our operations.

We are a multi-site organisation, with a main office in Reading, UK, a data centre/supercomputer in Bologna, Italy, and a large presence in Bonn, Germany.