What are the responsibilities and job description for the Advanced Aerosol Data Assimilation of the GEO-LEO Constellation position at Zintellect?
About the NASA Postdoctoral Program
The NASA Postdoctoral Program (NPP) offers unique research opportunities to highly-talented U.S. and non-U.S. scientists to engage in ongoing NASA research projects at a NASA Center, NASA Headquarters, or at a NASA-affiliated research institute. These one- to three-year fellowships are competitive and are designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology.
Description:
The Goddard Earth Observing System (GEOS), developed by NASA’s Global Modeling and Assimilation Office (GMAO), is a comprehensive Earth system model and data assimilation system. The GMAO assimilates aerosol optical depth (AOD) observations from space-borne (e.g. MODIS, VIIRS) and ground-based (AERONET) instruments into the GEOS model for its near-real-time aerosol forecast known as the GEOS Forward Processing (GEOS-FP) system as well as in its various reanalysis systems (e.g. Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)). Recent advances in the GEOS aerosol data assimilation capability allow for the assimilation of multi-spectral passive and active aerosol measurements. This improvement enables a more comprehensive and advanced analysis of atmospheric aerosols.
This project will focus on the integration of multi-wavelength AOD observations, ranging from the UV to visible to constrain the representation of aerosols in the NASA GEOS Earth System Model.
Activities that would be involved in this project include (but are not limited to):
- Implement machine learning transfer learning methods to homogenize AOD observations from the geostationary constellation of weather and atmospheric monitoring satellites (e.g. GEOS, HIMAWARI) utilizing well calibrated AOD observations from low earth orbit (LEO) sensors
- Integrate and test the impact of UV AOD observations from hyperspectral sensors in LEO and GEO orbits on the aerosol analysis and forecast utilizing the JCSDA-Joint Effort for Data assimilation Integration (JEDI) framework for atmospheric data assimilation
- Develop machine learning foundation models based on simulated observations from high fidelity atmospheric simulations for developing downstream tasks such as retrieving aerosol information in the presence of clouds, and utilizing multi-pixel spatial and temporal approaches
Field of Science: Earth Science
Advisors:
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
Questions about this opportunity? Please email npp@orau.org
