Atmospheric scientist with expertise in mesoscale and synoptic-scale processes that drive severe weather, particularly tornado outbreaks. Skilled in spatial statistics, reanalysis data, and global climate model (GCM) simulations, with experience applying Maximum Covariance Analysis (MCA) to identify high-impact atmospheric patterns. Developed a novel dual-variable framework to approximate outbreak-favorable environments in GCMs, enabling future risk projections. Strong programming skills in Python and R, complemented by experience leading NSF-funded workshops on extreme precipitation and collaborating with stakeholders to bridge climate research and real-world forecasting needs.
Design and Implementation of Scientific Workshops
National Science Foundation (NSF Award #16638)
Led the design, coordination, and delivery of three scientific workshops under the NSF-funded project Prediction of Rainfall Extremes at Subseasonal to Seasonal Periods (PRES2iP). Workshops were conducted in 2018 (Norman, OK), 2021 (virtual), and 2023 (Norman, OK), bringing together over 25 U.S.-based stakeholders from government, academia, and industry to enhance the scientific and practical understanding of extreme precipitation prediction at subseasonal to seasonal timescales.
Responsibilities included:
Workshops contributed to bridging research and applications by identifying actionable priorities for improving precipitation forecasts and integrating user perspectives into project deliverables.
Observer at the United Nations Climate Change Conference (COP25) – Madrid, Spain (2019)
Nominated by the Association of American Geographers (AAG) to serve as an official observer at COP25, the 25th Conference of the Parties to the United Nations Framework Convention on Climate Change (UNFCCC). Participated in high-level plenary sessions, scientific panels, and side events focused on global climate policy, adaptation, and mitigation strategies. Engaged with international delegates, scientists, and policymakers, gaining firsthand insight into the negotiation processes and the interface between science and global climate governance.
Collaborated with researchers at the University of Oklahoma’s Cooperative Institute for Mesoscale Meteorological Studies to process and organize radar data, evaluate updated radar-derived products, and support improvements in tornado detection and warning systems.
Climate Modeling & Reanalysis
Statistical & Machine Learning Methods
Data Analysis & Atmospheric Sciences
Tools & Software
Science Communication & Outreach
Python for Machine Learning & Data Science Masterclass
1. Cwik, P., McPherson, R.A., LI, F., Furtado J.C., 2025: How to Simulate Tornado Outbreaks in a Global Climate Model. Preprint in DOI:10.2139/ssrn.5181697, for publication in Elsevier's Weather and Climate Extremes (in review).
2. Cwik, P., Furtado, J.C., McPherson, R.A., and Taszarek, M., 2024: Major May tornado outbreaks
in the United States: Novel multiscale atmospheric patterns identi ed using maximum covariance
analysis. Atmospheric Research, p.107872, https://doi.org/10.1016/j.atmosres.2024.107872.
3. Schroers, M.A., Dickinson, T.A., Cwik, P., McPherson, R.A. and Martin, E.R., 2024. Listening to
Stakeholders III: Potential Users Evaluate Product Content and Design for Subseasonal Extreme
Precipitation Forecasts. Bulletin of the American Meteorological Society,
https://doi.org/10.1175/BAMS-D-23-0233.1
4. Cwik, P., R. A. McPherson, and H. E. Brooks, 2022: Evolving “Tornado Outbreaks”: Reviewing the
Term’s Varying Perspectives Reveals No Single Defnition Bulletin of the American Meteorological
Society, 103(12), p. 907-910; https://doi.org/10.1175/BAMS-D-20-0076.A
5. Cwik, P., R. A. McPherson, M. Richman, and A. Mercer, 2022: Climatology of 500-hPa geopotential
height anomalies associated with May tornado outbreaks in the United States. International Journal
of Climatology, 1–21, https://doi.org/10.1002/joc.7841.
6. VanBuskirk, O., P. Cwik, R. A. McPherson, H. Lazrus, E. R. Martin, C. M. Kuster, and E. Mullens, 2021:
Listening to stakeholders: Initiating research on sub-seasonal to seasonal heavy precipitation
events in the contiguous U.S. by first understanding what stakeholders need. Bulletin of the
American Meteor. Society, 102, E1972–E1986; https://doi.org/10.1175/BAMS-D-20-0313.1.
7. Cwik, P., R. A. McPherson, and H. E. Brooks, 2021: What is a tornado outbreak? Perspectives
through time. Bulletin of the American Meteorological Society,102, E817–E835;
https://doi.org/10.1175/BAMS-D-20-0076.1.