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Megan Kirchmeier-Young is a Post-doctoral Fellow with the Canadian Sea Ice and Snow Evolution Network working on attribution of extremes in sea ice extent. She is jointly affiliated with PCIC and the Canadian Centre for Climate Modelling and Analysis.
Megan's research interests involve the application of statistics to problems in regional climatology. Her Ph.D. work at the University of Wisconsin-Madison focused on a probabilistic perspective for statistical downscaling: developing a methodology for downscaling daily wind speed and devising a set of metrics/methods for the verification of extreme events in a probabilistic climate dataset. Megan was partially supported by an American Meteorological Society Graduate Fellowship.
- Ph.D. Atmospheric and Oceanic Sciences, University of Wisconsin-Madison
- B.S. Meteorology, summa cum laude, minor in Mathematics, University of Oklahoma
- 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.
- Kirchmeier-Young, M. C., D. J. Lorenz, and D. J. Vimont, 2015: Extreme event verication for probabilistic downscaling. Submitted to J. Appl. Meteor. Climatol.
- Kirchmeier-Young, M. C., F. W. Zwiers, and N. P. Gillett, 2016: Attribution of Extreme Events in Arctic Sea Ice Extent. Submitted to J. Climate.
- Daloz, A. S., R. Chakraborty, T. S. L'Ecuyer, and M. C. Kirchmeier-Young, 2015: Evaluation of precipitation in observations, reanalysis, and climate models over the Himalayas from an agricultural point of view. In Preparation.