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of ocean current (JCOPE) and wave (Wave Watch III) prediction models. Topic 5: Development of atmosphere–ocean data assimilation systems (one–three positions) Establishing an atmosphere–ocean data
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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, and assimilate the information into their project design/interpretation. Dissemination of studies: Interact on a regular basis with their faculty mentor and members of the laboratory to discuss
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
. Applications to consider extreme events such as floods, droughts, and wildfires are also encouraged. Research topics related to remote sensing data include surface data-assimilation, land surface model and
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to account for uncertainties. Use data assimilation techniques to combine observational data with AI models, improving real time forecasting accuracy. Collaborate with hydrologists, climatologists, and data
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CRSA - Postdoctoral position on high- resolution root zone soil moisture estimation by assimilation of microwave-derived surface soil moisture About UM6P: Located at the heart of the future Green
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substrate range and deeply rewired metabolism, enabling efficient substrate assimilation for sustainable production of chemicals from one-carbon (C1) substrates. You will combine adaptive laboratory evolution
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basin model code, including assimilation of remotely sensed observations. Engage with a variety of stakeholders in the Rio Grande Basin. Write scientific publications, reports, policy briefs, and
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation increments, which represent structural model errors (https://doi.org/10.1029/2023MS003757
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statistical analysis and modeling techniques such as Gaussian process modeling, data assimilation, and Bayesian analysis; and 4. Open-source scientific software development. Expertise in computational