Kenneth Kunkel
How is Artificial Intelligence Changing Science?
Research in the Era of Learning Algorithms
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Dr. Kenneth Kunkel
Cooperation Partner
North Carolina Institute for Climate Studies
North Carolina State University
North Carolina State University and National Climatic Data Center
151 Patton Avenue
Asheville, NC 28801-5001
Tel: +1 828 257 3137
Mail: Ken.Kunkel@noaa.gov
Web: https://ncics.org/people/kenneth-kunkel/
Education
- MS, Meteorology, University of Wisconsin-Madison, 1974
- BS, Physics, Southern Illinois University-Edwardsville, 1972
- PhD, Meteorology, University of Wisconsin-Madison
Research Experience
- Since 2010: Research Professor at the North Carolina State University and Lead Scientist for Assessments at NOAA Cooperative Institute for Climate and Satellites
- 2008-2010: Executive Director of the Division of Atmospheric Sciences of the Desert Research Institute in Reno, Nevada
- Since 2004: Fellow of the American Meteorological Society
- 1988-2008: Interim Director of the Illinois State Water Survey (2007-2008); Director of the Center for Atmospheric Sciences (1998-2007); Director of the Office of Applied Climatology (1990-1998); Director of the Midwestern Regional Climate Center (1988-1998); Adjunct Professor of the Department of Atmospheric Science at University of Illinois at Urbana-Champaign
- 1982-1988: State Climatologist at the New Mexico Department of Agriculture; Associate Professor at the Department of Earth Sciences and Department of Agronomy and Horticulture, New Mexico State University
- 1978-1982: Research Meteorologist with Army Research Laboratory at White Sands Missile Range, New Mexico
Relevant Publications
- Dagon, K., J. Truesdale, J.C. Biard, K.E. Kunkel, G.A. Meehl, & M.J. Molina (2022). Machine Learning-Based Detection of Weather Fronts and Associated Extreme Precipitation in Historical and Future Climates. Journal of Geophysical Research: Atmospheres, 127 (21), http://dx.doi.org/https://doi.org/10.1029/2022JD037038
- Barsugli, J.J., D.R. Easterling, D.S. Arndt, D.A. Coates, T.L. Delworth, M.P. Hoerling, N. Johnson, S.B. Kapnick, A. Kumar, K.E. Kunkel, C.J. Schreck, R.S. Vose, & T. Zhang, (2022). Development of a Rapid Response Capability to Evaluate Causes of Extreme Temperature and Drought Events in the United States. Bulletin of the American Meteorological Society, 103 (3), 14-20. http://dx.doi.org/10.1175/bams-d-21-0237.1
- Kunkel, K.E., R. Frankson, J. Runkle, S.M. Champion, L.E. Stevens, D.R. Easterling, B.C. Stewart, A. McCarrick, & C.R. Lemery, (Eds) (2022). State Climate Summaries for the United States 2022. NOAA Technical Report NESDIS 150. NOAA/NESDIS, Silver Spring, MD., 251, https://statesummaries.ncics.org/
- Kunkel, K.E., X. Yin, L. Sun, S.M. Champion, L.E. Stevens, & K.M. Johnson, (2022). Extreme Precipitation Trends and Meteorological Causes Over the Laurentian Great Lakes. Frontiers in Water, 4. http://dx.doi.org/10.3389/frwa.2022.804799
- Shafiei Shiva, J., D.G. Chandler, & K.E. Kunkel (2022). Mapping Heat Wave Hazard in Urban Areas: A Novel Multi-Criteria Decision Making Approach. Atmosphere, 13 (7), 1037, https://dx.doi.org/10.3390/atmos13071037
- Stegall, S. T., & K. E. Kunkel (2019). Simulation of Daily Extreme Precipitation Over the United States in the CMIP5 30-yr Decadal Prediction Experiment. Journal of Applied Meteorology and Climatology, 58, 875–886. http://dx.doi.org/10.1175/JAMC-D-18-0057.1
- more publications on his website