Support Scientist-Global Rapid Refresh

  • Full Time
  • Anywhere



I.M. Systems Group, Inc. (IMSG) is seeking candidates to support the Environmental Modeling Center (EMC) of the National Centers for Environmental Prediction (NCEP) in the development of a global rapid refresh data assimilation system for improved prediction of hurricanes and severe weather.




  • Work as a part of a team with NOAA labs and external collaborators.
  • Develop and enhance the Hybrid 4DEnVar data assimilation algorithm and GFS system to enable hourly cycling.
  • Enhance existing observation processing procedures to accommodate hourly, global observations.
  • Participate in tests to develop an approach to control high-frequency noise introduced by hourly analyses.
  • Assist in performing and evaluating retrospective experiments and case studies.
  • Perform tests with convective allowing nest ensembles run from the hourly cycling global ensemble.
  • Work within community model frameworks, such as the Flexible Modeling System (FMS) and the Earth System Modeling Framework (ESMF).
  • Modify and/or enhance existing computational software elements.
  • Adhere to DOC/NOAA/NWS Information Technology policies and procedures.
  • Adhere to project-specific development guidelines and practices.
  • Assure that projects are complete and accurate.
  • Actively contribute to the review of new ideas at scientific/technical meetings.
  • Contribute to a monthly task status report.



The candidate should have a Ph.D. in atmospheric sciences or a related physical or mathematical science, or an M.S. in atmospheric sciences or a related physical or mathematical science with 3 to 5 years’ experience.


Demonstrated knowledge, skills, and abilities in at least five of the following areas:


  • Knowledge of the physical and mathematical basis of numerical weather prediction and experience running advanced numerical models.
  • Knowledge and experience in the field of ensemble and/or variational data assimilation.
  • Experience working in a UNIX environment with advanced scripting languages (e.g., Perl, ksh, Python, Ruby, etc.).
  • Extensive practical application of compiled computing languages such as Fortran, C, and C++, as well as familiarity working with geophysical data formats (NetCDF, GRIB, BUFR, etc.) and graphical display programs such as GRADS, Python, etc.
  • Demonstrated skill in communicating effectively with scientists of diverse backgrounds on technical details of the work plan and present results accurately and clearly in both oral and written form.
  • Ability to work independently and in a team environment on complex problems.
  • Demonstrated skill in performing tasks requiring organization and an attention to detail.


Candidates must be a U.S. Citizen or Green Card Holder to qualify (please indicate in your cover letter).


Desired skills:

  • The desire and ability to learn and develop scientific capability.
  • Familiarity with data assimilation packages such as GSI and JEDI.
  • Familiarity with community modeling. Experience with FV3 is preferred but not a requirement.
  • Experience developing and testing numerical environmental prediction codes in a high-performance computing environment.
  • Familiarity with operational NWP and/or an operational forecasting environment.

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