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to enable convergence between the IPSL Earth System model and observations (natural and instrumental archives). · Evaluate the mechanisms of internal ocean-atmosphere coupled dynamics and feedbacks in
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exchanges in the next generation of Earth System Models, for the OptimESM project. - Implementation, testing and evaluation of new parameterizations of air-sea carbon exchanges - Development of diagnostics
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system. Climate models are important tools for improving our understanding and prediction of atmosphere, ocean, and climate behavior. We seek candidates with an interest in advancement of radiative
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-atmosphere dynamics. We will build an AI-enabled modeling system that couples a GPU-optimized ocean model with a biogeochemical module and AI-based, kilometer-scale atmospheric forecasts. This system will
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to the islands of the Southwest Indian Ocean for co-construction workshops. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UAR3365-JEACAM0-004/Default.aspx Work Location(s) Number of offers
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involving Fluid Dynamics. Demonstrable affinity with studying the physics of the ocean and preferably with polar oceanography. Experience with numerical modelling. Excellent ability to communicate in both
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to lead an investigation exploring the ability of recently developed global earth system models to simulate coastal sea level across sub-annual timescales. This work will leverage a suite of coupled models
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on deep-learning methodologies to create fast emulators of large-scale geophysical models. The specific goal is to develop an emulator of the MIT general ocean circulation model (MITgcm) for a regional
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-atmosphere dynamics. We will build an AI-enabled modeling system that couples a GPU-optimized ocean model with a biogeochemical module and AI-based, kilometer-scale atmospheric forecasts. This system will
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. This project includes collaborations with Sofar Ocean https://www.sofarocean.com/ (link is external) . Additional details on the research team can be found at: https://simpsoba.su.domains/ (link is external