The candidate will study ocean, ice, and coupled data assimilation strategies within the NASA GEOS coupled forecast system. This researcher will help to design novel techniques to assimilate new NASA observations such as laser altimetry from ICESAT-2, high-resolution altimetry from the Surface Water/Ocean Topography (SWOT), and ocean currents from e.g., the Ocean Dynamics and Surface Exchange with the Atmosphere (ODYSEA) satellite.
Date posted
June 21, 2023 3:15 pm
Application deadline
July 31, 2023 5:00 pm
Organization
ESSIC at the University of Maryland
Location
Job description
Duties:
The candidate will study ocean, ice, and coupled data assimilation strategies within the NASA GEOS coupled forecast system. This researcher will help to design novel techniques to assimilate new NASA observations such as laser altimetry from ICESAT-2, high-resolution altimetry from the Surface Water/Ocean Topography (SWOT), and ocean currents from e.g., the Ocean Dynamics and Surface Exchange with the Atmosphere (ODYSEA) satellite. This work will be performed at the Global Modeling and Assimilation Office (GMAO), NASA, Goddard Space Flight Center (GSFC) in Greenbelt, MD, USA. The GMAO maintains and develops state-of-art modeling and data assimilation systems for earth system predictions and reanalyses with the ultimate aim of enhancing the utility of NASA’s Earth observations. Specific goals include, but not limited to the following:
> Study and optimize utilization of NASA’s satellite observation data within a coupled Earth system modeling and assimilation.
> Work collaboratively within NASA, GMAO Joint Effort for Data assimilation Integration (JEDI) Team, university scientists, and external partners to develop and implement new innovative methods for coupled data assimilation.
Qualifications:
Required qualifications:
> A relevant PhD degree in applied mathematics, atmospheric or oceanic science, physics, scientific computing / computational science, computer science, or related discipline is required.
> Interest in geophysical forecasting, modeling, and satellite data analysis.
> Experience working with high performance computing environments.
> Experience with high-level object-oriented programming languages such as Fortran, C++, or equivalent
> Experience with additional software tools such as Python and Git.
> Ability to work independently in a collaborative software environment.
Abilities preferred for this Research:
> Knowledge of geophysical modeling, data assimilation (particularly ensemble and variational methods), inverse modeling, mathematical optimization, satellite observations.
> Experience in one or more fields is preferred: Atmosphere, Ocean or Ice Data Assimilation, Inverse Problems, Mathematical Optimization, Atmospheric or Oceanic or related environmental modeling, uncertainty.
> Quantification, Satellite Meteorology or Oceanography.
One or more of following experience is highly desirable:
> Presentation of results in peer-reviewed publications and scientific presentations and writing and reviewing technical reports.
>> Geoscientific inverse models.
>> Software tools such as Python.
>> Data processing and data visualization.
>> High-performance computing architectures.
To Apply: Interested candidates should send a CV with a list of at least 3 professional references and a cover letter explaining how your qualifications meet the posted requirements to anegri@umd.edu.
For more details
https://essic.umd.edu/joom2/index.php/employment/3136-scientist-for-coupled-data-assimilation-strategies-within-the-nasa-geos