My research focuses on the development and transition of probabilistic watch and warning information for hazardous weather such as tornadoes, wind and hail. Specfically, I study effective ways for end users to visualize, communicate and make decisions with that information. By integrating broadcast meteorologists into research and testing within NOAA's Hazardous Weather Tested, I am studying how probabilistic hazard information can be optmized for effective use through a user research approach. I collaborate with reseachers at both NOAA's Global Systems Laboratory and the National Severe Storms Laboratory. In addition, I have led software testing for a program known as Hazard Services, which is the platform National Weather Service forecasters will use to issue weather warnings. Before coming to CIRES, I was a researcher for CIMMS at the University of Oklahoma. Before that, I was an on-air broadcast meteorologist. I worked extensively in severe weather markets, including KLBK in Lubbock, TX and KETV in Omaha, NE.
Current Funded Projects:
- PI: 2018-2020 OAR/OWAQ JTTI funded project, “Generating Operational Guidelines for Use of Probabilistic Hazard Information with End-Users”
- PI: 2018-2019 OAR/OWAQ JTTI funded project, “FACETS: Advancing Physical and Social Science Concepts Toward Implementation of Probabilistic Hazard Information (PHI)”
- Collaborator: 2017-2018 OAR/OWAQ Vortex Southeast funded project, “Understanding and Enhancing Public Interpretation and Use of Probabilistic Tornado Warnings in the Southeastern United States”
Selected Recent Presentations & Publications:
Obermeier, H., K. L. Nemunaitis-Berry, T. C. Meyer, P. A. Campbell, A. Gerard, C. Kolakoski, and K. E. Klockow-McClain, 2019: Broadcast Meteorologist Decision-Making in the 2018 Hazardous Weather Testbed Probabilistic Hazard Information Project. 9th Conference on the Transition of Research to Operations, Pheonix, AZ, 8B.4
Meyer, T.C., K. Berry, K. M. Calhoun, H. Obermeier, A. Campbell, J. Wolfe, and K. E. Klockow-McClain, 2019: Visualization and Communication of Probabilistic Lightning Hazard Information for a Broad Spectrum of End Users. 9th Conference on the Meteorological Application of Lightning Data , Pheonix, AZ, 6.3
Meyer, T.C., K. Berry, A. Campbell, K. M. Calhoun, C. Gregg, K. E. Klockow, H. Obermeier,
and J. Wolfe, 2018: Visualization and Communication of Probabilistic Lightning Hazard
Information for a Broad Spectrum of End Users. 29th Conference on Severe Local Storms,
Stowe, VT, American Meteorological Society
Daniel Nietfeld, K. L. Manross, T. L. Hansen, D. M. Kingfield, and H. Obermeier, 2018:
Design and Integration of Probabilities for Hazard Information in Hazard Services to
Operationalize FACETS Concepts. 29th Conference on Severe Local Storms, Stowe, VT,
American Meteorological Society
Obermeier, H., K. Nemunaitis-Berry, K. E. Klockow, C. D. Karstens, A. Gerard, and L. P.
Rothfusz, 2018: Broadcast Meteorologist Decision-Making in the 2017 Hazardous
Weather Testbed Probabilistic Hazard Information Project. 13th Symposium on Societal
Applications: Policy, Research and Practice, Austin, TX, American Meteorological Society,
Calhoun, K. M., T. C. Meyer, K. Berry, H. Obermeier, S. J. Sanders, C. A. Shivers, C. D.
Karstens, J. P. Wolfe, and K. E. Klockow, 2018: Cloud-to-Ground Lightning Probabilities
and Warnings within an Integrated Warning Team. Special Symposium on Impact-Based
Decision Support Services, Austin, TX, American Meteorological Society, 4.4.
Meyer, T. C., K. Berry, M. A. Bowlan, K. M. Calhoun, J. Correia Jr., G. S. Garfield,A. Gerard, T.
Hansen, C. Karstens, K. Klockow, D. LaDue, J. G. LaDue, W. Line, C. Ling, D. M. Kingfield, K.
L. Manross, H. Obermeier, L. Rothfusz, and G. J. Stumpf, 2018: An overview of the 2017
Experimental Warning Program at the Hazardous Weather Testbed. Eighth Conference on
Transition of Research to Operations, Austin, TX, American Meteorological Society, 9.4.
Nemunaitis-Berry, K. L and H. M. Obermeier, 2017: Conference Notebook, Broadcast
Meteorologist Decision Making in the 2016 Hazardous Weather Test Probabilistic
Hazard Information Project. Bulletin of the American Meteorological Society, 98, 2045-
Honors and Awards
- 2016 National Weather Association Larry R. Johnson Award (Team Award): "For research, development and delivery of severe weather applications within the Multi-Radar, Multi-Sensor system, which has been successfully transitioned into NWS operations, providing critical tools for NWS forecast and warnings"
- 2015 Edward R. Murrow Award (Station Excellence, Medium Market)
- 2012 Great Plains Associated Press Award (1st Place Weathercast)