CIMMS Research Scientist – Warn-on-Forecast Liaison

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at The University of Oklahoma seeks to hire a Research Scientist.

 

Date posted

May 4, 2018 12:00 am

Application deadline

June 4, 2018 12:00 am

Organization

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS)

Location

  • United States

Job description

CIMMS Research Scientist – Warn-on-Forecast Liaison

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at The University of Oklahoma seeks to hire a Research Scientist to conduct research in the area of post-processing, information extraction, and hazard information creation for convection-resolving models and serve as a community liaison for the research and operations communities. Specifically, this position will entail research activities focused to maximize the forecast value of convection-resolving models and probabilistic forecast guidance in support of the Warn-on-Forecast (WoF) program. Additionally, the incumbent will interact collaboratively with researchers and forecasters within the National Oceanic and Atmospheric Administration (NOAA) Office of Oceanic and Atmospheric Research (OAR) National Severe Storms Laboratory (NSSL), the NOAA National Weather Service (NWS) National Centers for Environmental Prediction (NCEP) Storm Prediction Center (SPC), and the NCEP Environmental Modeling Center (EMC) to link WoF-related research and development to operational testing and implementation.

Background:

The NSSL, in collaboration with the SPC and other NOAA and university partners, is leading a Warn-on-Forecast program (WoF) to develop and refine an ensemble-based, convection-resolving model forecast system that will fill the forecast guidance gap between the Watch and Warning spatial-temporal scales, and enable the NWS to issue warnings for hazardous weather events earlier and with reliable probabilistic content. Increasing severe thunderstorm, flash flood, and tornado warning accuracy and lead times is a key NOAA strategic mission goal designed to reduce the loss of life, injury, and economic costs of high-impact weather by providing more trusted weather and water information in support of organized public mitigation activities. Furthermore, probabilistic information has great potential value for decision makers in weather-sensitive industries and for the general public.

Primary Job Responsibilities:

  1. Perform collaborative research related to post-processing, including creation of probabilistic hazard information, visualization, and/or verification of convection-resolving ensemble prediction systems;
  2. Establish and enhance productive channels for collaboration, transfer of technology and information, and cooperation between NSSL, SPC, EMC, and collaborating partners.

The successful candidate in this position will play a critically important role in linking research and development to operational testing and implementation. Specifically, as a CIMMS employee, he/she will have formal working relationships with experts in severe weather research at the NSSL, operational severe weather forecasters at the SPC, and operational numerical modelers at the EMC. Since NSSL and SPC are in Norman, OK (the home base for the position), and EMC is in College Park, MD, travel to EMC will be required several times a year. The successful candidate may also serve as a convection-resolving model community liaison and collaborate actively with research scientists and forecasters across the U.S. weather community including other NOAA research labs, NCAR, universities, and NWS forecast offices. This position is a unique opportunity for any individual looking to bring cutting-edge research forward and into NWS operations. A successful candidate in this position must be a self-motivated person and able to work across the various organizations and cultures.

Desired Qualifications:

  • PhD in the physical sciences (Meteorology/Physics/Math/Remote Sensing or related area) with professional experience as a scientific researcher with programming skills
  • Experience with using ensemble prediction systems to create guidance for prediction of high-impact weather.
  • Demonstrated success in publishing in peer-reviewed scientific journals.
  • Demonstrated proficiency in collaborating effectively with both research and operational forecasting communities, especially in collaborative work environments like the NOAA Hazardous Weather Testbed.
  • Proficiency with common programing and scripting languages (emphasis on FORTRAN, CSH, Python languages) in UNIX/Linux environments.
  • Ability to write proposals to obtain funding support for research activities.
  • Ability to work and communicate effectively in diverse team environments.

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: WoF Liaison

The University of Oklahoma is an equal opportunity/Affirmative Action employer.