Assimilation of Hyperspectral Infrared Radiance Observations in the GEOS

Updated: about 10 hours ago
Location: Greenbelt, MARYLAND

Organization
National Aeronautics and Space Administration (NASA)
Reference Code
0282-NPP-NOV26-GSFC-EarthSci
How to Apply

All applications must be submitted in Zintellect

Please visit the NASA Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org)

A complete application to the NASA Postdoctoral Program includes:

  • Research proposal
  • Three letters of recommendation
  • Official doctoral transcript documents

  • Application Deadline
    11/1/2026 6:00:59 PM Eastern Time Zone
    Description

    About the NASA Postdoctoral Program

    The NASA Postdoctoral Program (NPP) offers unique research opportunities to highly-talented 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:

    This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD).

     

    The Goddard Earth Observing System (GEOS) global 4D hybrid Ensemble-Variational (EnVar) data assimilation system at Global Modeling and Data Assimilation Office (GMAO) has been supporting NASA research and Earth Science missions. Among the millions of observations assimilated at each analysis cycle in the GEOS system, hyperspectral infrared satellite radiance data have been used extensively and they have proved significant impact on reducing model forecast errors and constraining atmospheric states. This NPP opportunity invites proposals that are focused on the usages of IR radiance observations to improve atmospheric states and model forecasts, especially, proposals with the following foci

    - Assimilation of radiance data from new hyperspectral infrared instruments such as IASI-NG, MTG-IRS Enhancement of CrIS radiance assimilation algorithm are highly encouraged. 

    - Use machine learning methods to cope with model biases are particularly encouraged. 

    Field of Science: Earth Science
    Advisors:

    Yanqui Zhu
    yanqiu.zhu@nasa.gov
    (301) 614-5844

     


    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: 


    • U.S. Citizens; 

    • U.S. Lawful Permanent Residents (LPR);  


    • Foreign Nationals eligible for an Exchange Visitor J-1 visa status; and, 

    • 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


    Qualifications

    An advanced university degree in Physics, Maths, Meteorology or related fields, ideally to PhD level, or equivalent proven research experience

    At least one-year relevant work experience

    Familiarity with satellite data analysis and data assimilation

    Strong computing skills are required, obtained in a Unix/Linux environment, and ideally including Fortran/C++ coding, as well as analysis tools such as Python, IDL 


    Point of Contact
    Mikeala
    Eligibility Requirements
    • Degree: Doctoral Degree.

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