Jami Boettcher


Phased Array Radar & Meteorological Analysis Studies Team (PAMST)

Job Title:Research Assistant


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Jami's role at NSSL is best summarized as providing "NWS eyes" toward the evolutionary weather radar research ongoing at RRDD, specifically Phased Array Radar. This work involves deep collaboration across multiple disciplines in RRDD: meteorological research scientists, and engineering (both software and hardware) research scientists. Jami came to CIWRO/NSSL after retiring from the National Weather Service, comprised of about 10 years in operations, and 25 years as an Instructor for the Warning Decision Training Division. Her first area of expertise as a trainer focused on the WSR-88D system updates, with the most significant being the conversion to dual polarization. Developing and delivering training that focused on the needs of the NWS operational community was always the priority. Her second area of training expertise was on the cognitive domain of NWS warning operations and its three components: science, technology, and human factors.

Degree (Ph.D, M.S, B.A, etc.) Major Subject University or College Name Year (YYYY) (optional)
M. S. Applied Math University of Tulsa 1991
B. S. Meteorology University of Oklahoma 1980
Research Interests
  • Weather radar data quality for NWS decision making
  • Addressing trade-offs with weather radar design from the perspective of NWS operational needs
Honors & Awards
Award Name Year
DOC Bronze Medal 2013
Selected Publications

Boettcher, J.E. Bentley2022WSR-88D Sidelobe Contamination: From a Conceptual Model to Diagnostic Strategies for Improving NWS Warning PerformanceWeather and Forecasting37853–869, doi:10.1175/WAF-D-21-0155.1.

Boettcher, J.S. TorresF. NaiC. CurtisD. Schvartzman2022A Multidisciplinary Method to Support the Evolution of NWS Weather Radar TechnologyWeather and Forecasting374429–444, doi:10.1175/WAF-D-21-0159.1.

Nai, F.J. BoettcherC. CurtisD. SchvartzmanS. Torres2020The Impact of Elevation Sidelobe Contamination on Radar Data Quality for Operational InterpretationJournal of Applied Meteorology and Climatology59707–724, doi:10.1175/JAMC-D-19-0092.1.