CIMMS Research Scientist – Warn-on-Forecast Data Assimilation & Prediction using FV3
The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at The University of Oklahoma seeks to fill a Research Scientist 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 Scientist will participate in NSSL’s Warn on Forecast research program.
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 develop and test ensemble data assimilation methods in NOAA’s new stand-alone-regional (SAR) FV3 core as part of a three-year Joint Technology and Transfer Initiative (JTTI) project funded by NOAA. This position will work with OAR scientists from NSSL in Norman Oklahoma and ESRL’s Global Services Division (GSD) in Boulder Colorado, as well as staff at NCEP’s Environmental Modeling Center (EMC) located in College Park Maryland. The NSSL portion of the project is to a) assess and identify strengths and weaknesses of the SAR-FV3 core for high-frequency data assimilation like that used in NSSL’s Warn-on-Forecast systems, b) create several case studies to assess the readiness level of the SAR-FV3 for WoF applications, and c) help transfer technology developed using FV3 for WoF applications into NOAA’s next generation data assimilation system (the Joint Effort for Data assimilation Integration; JEDI). While a candidate will need to be self-directed, they will work closely with other members of NSSL’s Warn-on-Forecast team. The candidate will also have opportunities to collaborate with scientists from our partners at the National Weather Center as well as other NOAA laboratories working on high-impact convective weather. The candidate will be expected to present his/her work at national conferences and publish in peer-reviewed journals regularly.
• PhD in the physical sciences (Physics/Math/Oceanography/Meteorology or related area) with professional experience as a scientific researcher and programmer.
• Experience with running numerical weather prediction models and familiarity with ensemble data assimilation methods (WRF/DART and/or GSI-EnKF experience is a plus).
• Proficiency with programing and scripting languages (emphasis on FORTRAN, CSH, Python languages) in UNIX environments.
• Ability to work and communicate in a team environment effectively.
• Ability to write reports as needed for the JTTI reporting.
• Ability to contribute to proposals to obtain funding support for research activities.
The beginning salary will be based on qualifications and experience with benefits provided through The University of Oklahoma (https://hr.ou.edu/). The start date for the position is negotiable.
To apply for the position, please forward your resume, cover letter and list of three references to:
Executive Director, Finance and Operations
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100
Norman, OK 73072-7304
ATTN: WoF Data Assimilation FV3
To apply for this job email your details to firstname.lastname@example.org