CIMMS Post-Doctoral Research Associate – Warn-on-Forecast for Hazards Associated with Landfalling Tropical Cyclones

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at The University of Oklahoma (OU) seeks to fill a Post-Doctoral Research Associate position for its collaborative research with the National Oceanic and Atmospheric Administration (NOAA) National Severe Storms Laboratory (NSSL) at the National Weather Center (NWC) in Norman, Oklahoma. The Post-Doc will contribute to applications of NSSL’s Warn-on-Forecast (WoF) research and development program to predicting tornadoes and other hazardous weather associated with landfalling hurricanes in accordance with directives from the VORTEX-Southeast program. The incumbent will work in close collaboration with the researchers at NOAA’s Atlantic Oceanographic and Meteorological Laboratory (AOML) Hurricane Research Division (HRD) in Miami, Florida. The dynamic research and operational working environment at the NWC and HRD will provide the candidate with ample opportunities for career advancement.

Background:
Congress has mandated that NOAA’s VORTEX-Southeast program conduct research to better understand landfalling hurricanes and tornadoes, and how environmental factors that are characteristic of the Southeastern United States affect the formation, intensity and storm path of tornadoes for this region. The National Weather Service issues outlooks for landfalling hurricane hazards, followed by mesoscale discussions and watches 1–12 h in advance of landfall. The National Hurricane Center, Storm Prediction Center, Weather Prediction Center, local Weather Forecast Offices and River Forecast Centers issue outlooks, watches, and warnings for tornadoes, high winds, extreme rainfall and flash floods. However, forecasting these hazards associated with landfalling hurricanes are very challenging. NOAA’s WoF program seeks to develop an ensemble of forecasts from convection-resolving numerical weather prediction models to increase watch-to-warning lead times of tornadoes, severe storms, and flash floods using probabilistic hazard guidance from the ensemble system.

Responsibilities:
The incumbent will advance the high-resolution modeling and prediction of extreme rainfall, hurricane-forced winds and tornado hazards associated with landfalling hurricanes in the United States through assimilation of radar and other remote sensing and in-situ convective and meso-scale observations using advanced ensemble based/variational/hybrid data assimilation methods. Responsibilities also include critically analyzing and interpreting the ensemble model output, publishing the results in peer-reviewed journals, and presenting scientific findings at conferences.

Desired Qualifications:
1. PhD in (or at the final stage of dissertation completion before applying) in Meteorology, Atmospheric Science, Physics or related area.
2. Research experience in dynamics of convective storm, tropical meteorology, tropical cyclones and/or dynamics of tropical storms (particularly associated with tornadoes, high winds and heavy rainfall).
3. Proficiency with high-resolution atmospheric models such as WRF and HWRF, familiarity with advanced data assimilation systems such as GSI, EnKF, WRF DA.
4. Strong programming (e.g., Fortran, C, C++), and scripting (e.g. Python, NCL) skills, experience with Linux (or Unix) operating systems.
5. Excellent oral and written communication skills (including papers published in or submitted to refereed journals).
6. Ability to work and communicate effectively in diverse team environments.

Start date for the position will be as soon as the candidate can begin work. The position will remain open until filled. 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 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: WoF-LTC

To apply for this job email your details to treinke@ou.edu