[ES_JOBS_NET] CIMMS Research Associate for Warn-on-Forecast

[Christine Wiedinmyer]

CIMMS Research Associate for Warn-on-Forecast 

 

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at
University of Oklahoma (OU) seeks to fill a Research Associate position to
support National Oceanic and Atmospheric Administration (NOAA) National
Severe Storms Laboratory's (NSSL) Warn-on-Forecast (WoF) research and
development effort. NOAA's WoF program seeks to develop a storm-scale
ensemble prediction system to help increase warning lead times of severe
thunderstorms, heavy rainfall, and tornadoes. The incumbent will interact
collaboratively with researchers and operational forecasters within the
National Weather Center (NWC) in Norman, OK, NOAA National Weather Service
(NWS) National Centers for Environmental Prediction (NCEP) Weather
Prediction Center (WPC) and Weather Forecast Offices (WFOs) to support the
development and evaluation of WoF system for operational testing and
implementation. The dynamic research and operational working environment at
the NWC in Norman, OK will provide the candidate with ample opportunities
for career advancement. 

 

Responsibilities:

The principal duties of this position are:

1. Assist in the development and testing of the experimental WoF ensemble
data assimilation and prediction system. 

2. Set-up and run the WoF system for real-time experiments. 

3. Assist in the development of novel post-processing, visualization and
verification tools using MET software.

4. Assist in assessing the usability, strengths, and limitations of the WoF
system in NWS operations. 

5. Attend meetings, workshops and professional conferences to present
research results and interact with operational forecasters, collaborators
and users. 

6. Write technical and training materials and attend seminars to stay
abreast of current developments in related areas. 

7. Perform related duties as assigned.

 

Desired Qualifications: 

1. A Master's degree or higher in Meteorology, Atmospheric Science, Computer
Science or related area.

2. Experience in high-resolution NWP model, advanced data assimilation
systems (such as GSI, EnKF, WRF DA), DTC's Model Evaluation Toolkit (MET),
probabilistic severe weather forecasting and research to operations (R2O). 

3. Strong programming (e.g., Fortran, C, C++), and scripting (e.g. Python,
NCL) skills, experience with Linux (or Unix) operating systems. 

4. Excellent oral and written communication skills. 

5. Ability to work and communicate effectively in diverse team environments.


 

Normal working hours will be observed except for occasional irregular hours
during real-time experiments.

 

The position is expected to begin October 2018. Salary will be competitive
depending on experience and qualification with University of Oklahoma
benefits. Information on benefits may be found at http://hr.ou.edu/. 

 

To apply for the position, please forward your resume, cover letter and

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