GEOS Land Modeling and Data Assimilation System Specialist

Science Systems and Applications, Inc.

Job Description:
Science Systems and Applications, Inc. is seeking a GEOS Land Modeling and Data Assimilation System specialist to support the Global Modeling and Assimilation Office at the NASA Goddard Space Flight Center. This position will begin in a telecommuting status with the eventual likelihood of a hybrid model with work on site at NASA’s GSFC.

The position is designed for a mid-career scientist/programmer or numerical modeler with commensurate experience using and/or running coupled atmosphere and land models. The selected staff member will contribute to the maintenance and development of the land modeling and data assimilation components of the Global Earth Observing System (GEOS) at the NASA Global Modeling and Assimilation Office (GMAO). This involves the following expected duties:

Develop, implement, and document, under advisement of civil service staff, improvements in the GEOS land modeling and data assimilation system.

Perform simulations with the stand-alone land model and with various configurations of the full GEOS Earth system model; process results as required.

Integrate science software and model parameters into the operational version of GEOS and perform associated tests.

Assist in solving daily technical problems (in addition to strictly scientific problems).

Ensure proper coordination with other model development groups in the GMAO.

Maintain appropriate standards and interfaces to facilitate coupling of land model and assimilation components into the broader NASA GEOS system.

Required Qualifications:
  • A minimum of an MS degree in numerical land, atmospheric, or ocean modeling or a related field.
  • 6-10 years of experience in designing, running, and analyzing output from standalone or coupled land, atmosphere, or ocean numerical models or data assimilation systems
  • Extensive experience in FORTRAN or C/C++ programming is required
  • The applicant must be detail-oriented
Desired Qualifications:
  • Experience in land surface hydrology and data assimilation preferred
  • Experience in Python programming is highly desired, as are familiarity with relevant data formats (including NetCDF and HDF), object-oriented software paradigms (e.g., ESMF), and software version control (e.g., git and
  • Expert knowledge of parallel computing processes and languages is also desired, as is a strong familiarity with graphics software.

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