High-resolution ocean model parameter identification using machine learning
All applications must be submitted in Zintellect
Description:
To support NASA earth science missions, the Global Modeling and Assimilation Office (GMAO) advances earth system models. This present opportunity invites proposals that are focused on improving ocean and sea ice modeling at high-resolutions at global and/or regional-scales. Models configured at high spatial resolutions simulate certain process better than those at coarse resolutions (for example, representation of eddies, their propagation, tides, internal waves, etc). However, these simulations are computationally expensive. Also, identification of model parameters is non-trivial. Investigations that propose to:
- Conduct and study high-resolution ocean, sea-ice modeling simulations,
- Compare with NASA's satellite and reanalysis data,
- Use machine learning methods on high performance computing platforms with open-source software,
- Improve fidelity of model simulations,
are highly encouraged.
Field of Science: Earth Science
Advisors:
Santha Akella
santha.akella@nasa.gov
(301) 614-5687
Applications with citizens from Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States.?A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control. ?
Eligibility is currently open to:
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U.S. Citizens;
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U.S. Lawful Permanent Residents (LPR);
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Foreign Nationals eligible for an Exchange Visitor J-1 visa status; and,
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Applicants for LPR, asylees, or refugees in the U.S. at the time of application with 1) a valid EAD card and 2) I-485 or I-589 forms in pending status
- Degree: Doctoral Degree.
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