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Scholar in physical oceanography focused on numerical ocean modeling, ocean data assimilation, and computational methods for understanding and predicting regional and coastal ocean circulation. This is
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
the interaction with the high latitude ocean. A tool for both understanding and prediction of these processes is the next generation of the NASA Global Modeling and Assimilation Office (GMAO) Goddard
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Cruz Ocean Modeling and Data Assimilation : https://oceanmodeling.ucsc.edu/ Qualifications Basic qualifications (required at the time the application is submitted) Ph.D. (or equivalent foreign degree) in
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, particularly with proficiency using the Regional Ocean Modeling System (ROMS) and its 4-Dimensional Variational Data Assimilation and nesting capabilities. Demonstrated experience working in a Linux
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, particularly with proficiency using the Regional Ocean Modeling System (ROMS) and its 4-Dimensional Variational Data Assimilation and nesting capabilities. Demonstrated experience working in a Linux
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
ocean, potentially fertilizing marine planktonic ecosystems. For example, the 2019-2020 Australian wildfires triggered widespread phytoplankton blooms, evidenced in chlorophyll data obtained from
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
cavities using a combination of ocean models, available in-situ data, and satellite observations. The study builds on analyses from a consortium of models, such as Estimating the Circulation and
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 10 days ago
, observational and physical oceanography, data assimilation and machine learning. Gathering this large panel of skills, the team aims at improving our understanding, reconstruction and forecasting of ocean
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. Competencies: Expertise in uncertainty quantification and statistical methods. Experience with data assimilation techniques. Experience applying machine learning approaches to ocean or coastal modeling
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chemistry; climate and atmosphere-ocean dynamics; cloud microphysics, severe storms, and mesoscale meteorology; data assimilation, machine learning, and causal discovery; education and human resources