Researcher for high-resolution global climate prediction (R2)
Barcelona Supercomputing Center – Centro Nacional de Supercomputación (BSC-CNS), Barcelona, Spain
Closing date: 31 March 2020
The Barcelona Supercomputing Center – Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, and is a hosting member of the PRACE European distributed supercomputing infrastructure. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 650 staff from 49 countries.
The Earth Sciences Department of Barcelona Supercomputing Center (BSC-ES, https://www.bsc.es/discover-bsc/organisation/scientific-structure/earth-sciences, https://earth.bsc.es), led by Prof Francisco Doblas-Reyes, aims at, among other objectives, developing a capability to develop and provide climate information for a variety of time scales ranging from a few weeks to a few decades and from regional to global scales. The department is also part of the development team and a key user of the EC-Earth global climate model (http://www.ec-earth.org) and as such collaborates closely with all the members of the EC-Earth consortium.
The position offered aims at performing and analysing simulations with EC-Earth at different resolutions to assess the relative merits of increasing resolution in terms of forecast quality and predictability sources at seasonal and longer time scales. The work will be part of the European H2020 project EUCP https://www.eucp-project.eu/. EUCP develops an innovative European regional ensemble climate prediction system based on a new generation of improved and typically higher-resolution climate models, covering timescales from seasons to decades initialised with observations, and designed to support practical and strategic climate adaptation and mitigation decision-taking on local, national and global scales.
The analyses will consist in applying standard forecast quality measures comparing them with the best observations available and taking into account the observational uncertainty, estimating metrics that assess the impact of resolution on the main drivers of predictability and developing relevant forecast products that make use of the simulations performed.
The successful applicant will perform the simulations on the Marenostrum4 supercomputer and collaborate with scientists in the department who develop and implement the model in the local infrastructure.
- Perform climate forecast simulations with EC-Earth with different resolutions
- Develop the necessary initial conditions for the corresponding model resolutions
- Interact with the software engineers that implement the model in the local infrastructure
- Implement and run the Department common analysis tools to estimate
forecast quality and metrics for the relevant drivers of predictability
- Engage with climate service development activities
- Compare the results with those from a range of available forecast systems