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Researcher: global climate prediction with high-resolution models (R2-R3)


Barcelona Supercomputing Center


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Job Location

Barcelona, Spain    

Applicant Location Requirements


Application Deadline

March 16, 2024

Context And Mission

The Earth Sciences Department of Barcelona Supercomputing Center (BSC-ES) led by Prof Francisco Doblas-Reyes develops, among other research tools, global climate models to perform a range of climate experiments at storm and eddy-resolving spatial resolutions. These tools have opened a very exciting path to revisit properties of the climate system such as climate predictability at subseasonal to decadal time scales.

This position aims at exploring the relative merits of this new category of global climate models at very high resolutions to predict regional aspects of climate, including the best way to initialise them, the necessary adaptations to the experimental set up to cope with limited computational resources and the processes that could act as new sources of forecast skill.

Key Duties

– Conduct numerical simulations to estimate model predictability, analysing the sources of predictability and key model errors through a process-based perspective.
– Explore the challenges that model initialisation poses at storm- and eddy-resolving resolutions.
– Access and analyse the set of equivalent multi-model simulations publicly available to test the robustness of the conclusions reached.

Special Requirements
Education PhD in atmospheric, ocean or climate sciences, applied mathematics, computer sciences or any related discipline. Essential Knowledge and Professional Experience Experience in working with numerical models of either the ocean and the atmosphere; familiarity with ocean-atmosphere coupled models will be valued. Experience in climate predictability and prediction. Understanding of the scientific challenges associated with high-resolution climate modelling. Additional Knowledge and Professional Experience Experience with version control systems (e.g., SVN or Git) will be valued. Experience in using HPC architectures and coding with scripting languages will be valued. Theoretical understanding of climate dynamics will be valued. Competences Fluency in English Ability to take initiatives, prioritise tasks and work under set deadlines. Ability to work both independently but still as part of a highly-coordinated team. Excellent written and verbal communication skills.

Apply online or via email