Dr. Megan C. Kirchmeier-Young

Research Scientist

Research on climate extremes

Environment and Climate Change Canada

Current research and/or projects

Activities that contribute to the understanding of the state, trends, variability, extremes, and future projections of climate at both global and regional scales.

  • Climate change detection and attribution at global and regional scales
  • Analysis and attribution of extreme events

Professional activities / interests

Co-author, Canada's Changing Climate Report, Ch. 4 (Changes in Temperature and Precipitation Across Canada)

Co-author, Canada's Changing Climate Report, Ch. 5 (Changes in Snow, Ice, and Permafrost Across Canada)

Education and awards

Ph.D. Atmospheric and Oceanic Sciences, University of Wisconsin-Madison (2015)

B.S. Meteorology, University of Oklahoma (2010)

Canadian Meteorological and Oceanographic Society Roger Daley Post-Doctoral Publication Award

American Meteorological Society Graduate Fellowship

Key publications

Kirchmeier-Young, M. C., N. P. Gillett, F. W. Zwiers, A. J. Cannon, and F. S. Anslow, 2019: Attribution of the inuence of human-induced climate change on an extreme fire season. Earth's Future, 7, 2-10. DOI:10.1029/2018EF001050.

Kirchmeier-Young, M. C., F. W. Zwiers, N. P. Gillett, and A. J. Cannon, 2017: Attributing extreme fire risk in western Canada to human emissions. Climatic Change, 114, 365-379. DOI:10.1007/s10584-017-2030-0.

Gagne, M.-E., M. C. Kirchmeier-Young, N. P. Gillett, J. C. Fyfe, 2017: Arctic sea ice response to the eruptions of Agung, El Chichon and Pinatubo. J. Geophys. Res. Atmos., 122, 8071-8078. DOI:10.1002/2017JD027038

Kirchmeier-Young, M. C., F. W. Zwiers, and N. P. Gillett, 2017: Attribution of extreme events in Arctic sea ice extent. J. Climate., 30, 553-571. DOI: 10.1175/JCLI-D-16-0412.1

Kirchmeier-Young, M. C., D. J. Lorenz, and D. J. Vimont, 2016: Extreme event verification for probabilistic downscaling. J. Appl. Meteor. Climatol., 55, 2411-2430. DOI: 10.1175/JAMC-D-16-0043.1

Kirchmeier, M. C., D. J. Lorenz, and D. J. Vimont, 2014: Statistical downscaling of daily wind speed variations. J. Appl. Meteor. Climatol., 53, 660-675. DOI: 10.1175/JAMC-D-13-0230.1