Scientist - Seasonal Forecasting Specialist
vor 3 Wochen
We are seeking a highly skilled and motivated scientist to join our Long-range Forecasting Team at ECMWF. As a key member of our team, you will contribute to the design and scientific underpinnings of our seasonal prediction configuration, which covers forecast ranges from one month to two years ahead.
Your primary focus will be on research to guide the design and evolution of future seasonal forecasting systems. This includes exploring hypotheses using numerical experimentation, diagnosing the performance of individual forecasting systems, and developing additional metrics for system performance.
You will also be responsible for conducting research on the representation of climate non-stationarity in seasonal forecast systems and methods to account for this in the creation of products. Additionally, you will contribute to research on the predictable signals contained within model forecasts and methods to extract these from the C3S multi-system ensemble.
As a member of our team, you will work closely with colleagues from Member States, other partners, and the wider scientific community to advance our understanding of seasonal predictability and improve the accuracy and reliability of our seasonal forecast systems.
Key Responsibilities- Conduct numerical experimentation to advance the understanding of predictability at the seasonal time scale
- Develop and implement appropriate additional diagnostics to enhance performance metrics for model and forecast assessment
- Participate in research on the representation of climate non-stationarity in seasonal forecast systems
- Contribute to research on the predictable signals contained within model forecasts
- Support users in the appropriate use and interpretation of seasonal model outputs and products
- Strong analytical and problem-solving skills, with a proactive approach
- Attention to detail but capability of, and focus on, understanding the overarching problems
- Demonstrated curiosity, drive, and ability to perform novel research of international standing
- Passion, self-motivation, and the ability to work independently
- Excellent interpersonal and communication skills
We are looking for a candidate with a strong background in climate science, mathematics, physics, or a related field. You should have a good understanding of meteorology, climate dynamics, climate variability, and change, as well as knowledge of concepts of predictability of weather and climate.
Experience with statistical techniques, including evaluation of ensemble simulations, is essential. You should also have the ability to conduct numerical experimentation with GCMs in HPC environments and strong programming and scripting skills (python, bash, ideally also fortran).
As a member of our team, you will be part of a dynamic and collaborative environment that values diversity and inclusion. We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.
About ECMWFECMWF 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 use of innovative technologies and machine learning across our operations.
ECMWF is a global leader in machine learning for Earth system application and investigates machine learning throughout the weather forecast value chain, including for observation processing, data assimilation, forecasting, and post-processing.
We have also developed a machine learned global forecast model, the Artificial Intelligence Forecasting System (AIFS), which is used for daily weather predictions. Additionally, we have developed a strong partnership with the European Union and have been entrusted with the implementation and operation of the Destination Earth Initiative and the Climate Change and Atmosphere Monitoring Services of the Copernicus Programme.
Other areas of work include High Performance Computing and the development of digital tools that enable ECMWF to extend provision of data and products covering weather, climate, air quality, fire, and flood prediction and monitoring.
For more information about what we do, please visit www.ecmwf.int.
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