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Field
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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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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 5 hours ago
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 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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-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
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studies, and modeling work to conduct curiosity- and application-driven research on marine biogeochemistry and ecosystems in a changing environment. YOUR TASKS Conduct research on the ocean carbon cycle
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-position-deep-sea-ecological-modelling Work Location(s) Number of offers available1Company/InstituteInstitut de Ciències del Mar (ICM), CSIC, BarcelonaCountrySpainCityBarcelonaGeofield Contact State/Province
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and fossil diatom datasets from Alaska-Aleutian coastal marshes and statistical and chronological models that allow reconstruction of the magnitude and timing of past relative sea-level (land level
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Offer Description Understand how large offshore wind farms reshape atmospheric and ocean processes, and help advance sustainable offshore energy through observations, high-resolution modelling and coupled