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July 2018
Message 45

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[Met-jobs] CIMMS Research Associate - FV3 Programmer

From "Reinke, Tracy L." <treinke@ou.edu>
To "Met-jobs@lists.reading.ac.uk" <Met-jobs@lists.reading.ac.uk>
Date Fri, 13 Jul 2018 19:36:42 +0000

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at The University of Oklahoma seeks to fill a Research Associate position for its collaborative research as a Cooperative Institute with the National Oceanic and Atmospheric Administration (NOAA) Office of Oceanic and Atmospheric Research (OAR) National Severe Storms Laboratory (NSSL).  The Research Associate will work within NSSL’s Warn-on-Forecast research group.

 

Background: 

 

CIMMS in collaboration with NSSL is funded to develop and demonstrate the value from a probabilistic ensemble-based convection-resolving model forecast system to help increase lead times for hazardous weather events.  Increasing severe thunderstorm, flash flood, and tornado warning lead times is a key NOAA strategic mission goal designed to reduce the loss of life, injury, and economic costs of high impact weather.  A successful candidate for this position will help transfer NSSL's storm-scale NWP knowledge developed for the WRF-ARW system into NOAA’s new unified FV3 modeling system.  The successful candidate will work on a progression of three related projects over the next several years. This position requires an individual who has a strong interest in software development, model building, and helping construct a software infrastructure that will eventually be used for both research and operations within NOAA.

 

The principal duties of this position are:

 

1)      Work with NSSL and CIMMS scientists to run the Stand-Alone-Regional (SAR) FV3 model on NSSL’s computing server. 

2)      Combine the SAR FV3 system with one or more ensemble data assimilation systems currently used here (e.g., NCAR’s DART or NOAA’s GSI-EnKF).  This is needed to test high-frequency data assimilation in the FV3 system with similar configurations that have been developed for NSSL’s current experimental Warn-on-Forecast system (called the NEWS-e) using the WRF-ARW core. 

3)      Work with senior scientists to run case studies to compare the performance of the FV3 system to the NEWS-e. 

 

While a candidate will need to be self-directed, they will work closely with other members of NSSL’s Warn-on-Forecast team, and scientists from the Global Systems Laboratory in Boulder, Colorado and the Environmental Modeling Center in College Park, Maryland.

 

Desired Qualifications: 

  • MS in Physics/Math/Oceanography/Meteorology/Computer Science or related areas with at least 4 years of experience as a scientific programmer working with geophysical or fluid dynamics models OR PhD in one of those areas and at least 2 years of experience as a scientific programmer.
  • Proficiency using open source scripting software (e.g., Python, NCL, CSH), compiled languages (e.g., FORTRAN, C, C++), and modern software management tools (e.g., Make, Git).
  • Experience with running models and with modifying code within models (e.g., HWRF, GFS, FV3, COAMPS, WRF, OMEGA, MPAS). Experience with NCAR’s DART or GSI software is also a plus.
  • Demonstrated experience running codes on large-scale HPC resources.
  • Some knowledge of ensemble data assimilation theory and techniques.
  • Ability to work and communicate effectively within a team environment.
  • Preparing technical analyses and reports for senior level management.

 

Annual Salary: Commensurate with experience and qualifications.

To apply for the position, please forward your resume, cover letter and list of three references to:

Tracy Reinke

Executive Director, Finance and Operations

University of Oklahoma CIMMS

120 David L. Boren Blvd., Suite 2100

Norman, OK 73072-7304

treinke@ou.edu

REFERENCE: FV3 Programmer

 

 

Tracy Reinke, CRA

Executive Director, Finance and Operations

Cooperative Institute for Mesoscale Meteorological Studies

The University of Oklahoma

120 David L. Boren Blvd., Suite 2100

Norman, OK 73072-7304

(405) 325-3043

(405) 325-3098 (FAX)

 

 



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