My main research interests are in applied climatology, focusing on utilizing synoptic methods in a variety of applications. I am currently funded on 3 federal grants from NASA and NOAA; the NASA-funded research applies synoptic methods in the development of a water clarity index as an indicator of climate change in the Great Lakes; one NOAA grant explores various indicators of climate change related to human thermal comfort, while another NOAA grant examines the role of atmospheric circulation in day-to-day sea-level variability. Previous grant-based research includes assessing the impacts of climate change on hazardous heat events in California, and studying the relationship between synoptic weather types and asthma in New York State, and exploring water clarity along the coast of the Southeastern US. Other non-grant related research has included studying the relationship of air pollution to synoptic weather types and atmospheric circulation patterns in Cleveland; the association of circulation patterns to chlorophyll levels near the Florida Gulf Coast, and the impact of transitional weather types on winter mortality. My master's thesis focused on joining synoptic methods with global climate model output data in order to project future tornado day frequency and seasonality in the US. My dissertation research focused primarily on the development of a gridded synoptic weather typing classification for the United States, which will be useful in a number of applications. I also serve as the Managing Editor of the International Journal of Biometeorology.
Lee, C.C. (2019): The development of two air mass based indicators of a changing climate. (Manuscript currently in peer-review).
Adams, R.E., Lee, C.C., Smith, E.T., Sheridan, S.C. (2019): The relationship between atmospheric circulation patterns and extreme temperature events in North America. (Manuscript currently in peer-review).
Sheridan, S.C. Lee, C.C., Adams, R., Smith, E.T., Pirhalla, D.E., Ransibrahmanakul, V. (2019): Temporal modeling of anomalous coastal sea-level values using synoptic climatological patterns. Journal of Geophysical Research – Oceans (Accepted, in press).
Smith, E.T., Lee, C.C., Barnes, B.B., Adams, R.E., Pirhalla, D.E., Ransibrahmanakul, V., Hu, C., Sheridan, S.C. (2019): A synoptic climatological analysis of the atmospheric drivers of water clarity variability in the Great Lakes. (Manuscript currently in peer-review).
Lee, C.C. (2019):The Gridded Weather Typing Classification version 2: a Global Scale Expansion. International Journal of Climatology. (Accepted, in press). DOI: 10.1002/JOC.6263.
Sheridan, S.C., Lee, C.C., Allen, M.J. (2019): The mortality response to absolute and relative temperature extremes. International Journal of Environmental Research and Public Health 16, 1493. DOI: 10.3390/ijerph16091493.
Lee, C.C., Sheridan, S.C. (2018): Trends in weather type frequencies across North America. npj Climate and Atmospheric Science 1(41). DOI: 10.1038/s41612-018-0051-7.
Sheridan, S.C., Lee, C.C. (2018): Temporal trends in absolute and relative extreme temperature events across North America. Journal of Geophysical Research: Atmospheres 123(21), 11889-11898. DOI: 10.1029/2018JD029150.
Lee, C.C., Sheridan, S.C. (2018): A new approach to modeling temperature-related mortality: Non-linear autoregressive models with exogenous input. Environmental Research 164, 53-64. DOI: 10.1016/j.envres.2018.02.020.
Sheridan, S.C., Pirhalla, D.E., Lee, C.C., Ransibrahmanakul, V. (2017): Atmospheric drivers of sea-level fluctuations and nuisance floods along the mid-Atlantic coast of the USA. Regional Environmental Change.17(6), 1853-1861. DOI: 10.1007/s10113-017-1156-y.
Lee, C.C. (2016) Reanalyzing the impacts of atmospheric teleconnections on cold-season weather using multivariate surface weather types and self-organizing maps. International Journal of Climatology 37(9), 3714-3730. DOI: 10.1002/joc.4950.
Pirhalla, D.E., Sheridan, S.C., Lee, C.C., Barnes, B.B., Ransibrahmanakul, V., Hu, C. (2016): Water clarity patterns in South Florida coastal waters and their linkages to synoptic-scale wind forcing. Satellite Oceanography and Meteorology 2(1),26-40. DOI: 10.18063/SOM.2016.02.003.
Lee, C.C., Sheridan, S.C., Barnes, B.B., Hu, C., Pirhalla, D.E., Ransibrahmanakul, V., Shein, K. (2016): The development of a non-linear auto-regressive model with exogenous input (NARX) to model climate-water clarity relationships: reconstructing an historical water clarity index for the coastal waters of the southeastern US. Theoretical and Applied Climatology 130(1-2), pp.557-569. DOI: 10.1007/s00704-016-1906-7.
RECENT & UPCOMING PRESENTATIONS:
Development and applications of a new global-scale weather type classification; 116th Annual Meeting of the American Association of Geographers; Denver, Colorado.; April 2020
Leveraging Machine Learning and Synoptic Climatology to Model and Forecast Water Clarity in the Great Lakes; 101st Fall Meeting of the American Geophysical Union; San Francisco, California; December 2019
A global-scale gridded classification of multivariate surface weather types: the GWTC-2; European Meteorological Society Annual Meeting; Copenhagen, Denmark; September 2019
Multi-decadal changes to the frequency of North American Weather Types; 115th Annual Meeting of the American Association of Geographers; Washington, D.C.; April 2019
The Changing Frequency of Spatiotemporally-Relative Weather Types across North America; 6th Annual Kent State Environmental Science & Design Research Symposium; Kent, Ohio; March 2019 (Poster)
Changing Frequencies of Spatiotemporally-Relative Surface Weather Types in North America; 100th Fall Meeting of the American Geophysical Union;Washington, D.C.; December 2018 (Poster)
Long-term trends in the frequency of North American weather types;41st Applied Geography Conference;Kent, OH; October 2018
Modeling Temperature-Related Mortality using Nonlinear Autoregressive Models with Exogenous Input;Joint Annual Meeting of the International Society of Exposure Science and the International Society for Environmental Epidemiology; Ottawa, Ontario, Canada; August 2018
Using nonlinear autoregressive models with exogenous input to analyze temperature-related human mortality; 9th Conference on Environment and Health, as part of the 98th American Meteorological Society Annual Meeting;Austin, TX; January 2018
Modeling weather impacts on human mortality using non-linear autoregressive models with exogenous input (NARX models) - presented by Scott Sheridan; 20th International Congress of Biometeorology; Durham, United Kingdom; September 2017
Synergistic impacts of multiple teleconnections on North American surface weather types;113th Annual Meeting of the American Association of Geographers;Boston, MA; April 2017
Analyzing teleconnective impacts on surface weather types using self-organizing maps;39th Applied Geography Conference;Louisville, KY; October 2016
Enhancing Undergraduate Biometeorology Education;23rd Annual University Teaching Council Celebration of College Teaching Conference;Kent, OH; October 2016 (Poster)
Using circulation patterns and weather types to model water clarity in the Gulf of Mexico;112th Annual Meeting of the American Association of Geographers;San Francisco, CA; March 2016
Climate Change & Impacts
Ph.D. (2014) in Geography (Climatology) from Kent State University
Applied Climatology, Climate Change, Synoptic Methods, Climate, Climate & Coastal Environments, severe weather, Air Quality
Association of American Geographers, American Geophysical Union, American Meteorological Society, International Society of Biometeorology