Utilizing synoptic climatological methods to assess the impacts of climate change on future tornado-favorable environments |
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| Authors: | Cameron C Lee |
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| Institution: | 1. Department of Geography, Kent State University, 407 McGilvrey Hall, Kent, OH, 44242, USA
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| Abstract: | Previous research into the impacts of climate change on severe mid-latitude weather has been limited by the spatial resolution of many important variables in global climate model output. By utilizing synoptic climatological methods, however, this research takes an entirely different approach. Using a six-step process that includes principal components analysis, cluster analysis, and discriminant function analysis, this study first creates a continental-scale map pattern classification at three levels of the atmosphere, from geopotential height and temperature fields. These patterns are then associated to historic F2 and stronger United States?? tornado days using binary logistic regression. Using output data from two GCMs, spanning five different model emissions scenarios, this synoptic climatology of tornadoes is then utilized in order to project the changes in the frequency and seasonality of tornadic environments due to a changing climate. Results indicate that F2 and stronger US tornado days will increase anywhere from 3.8 to 12.7% by the 2090s. The majority of this increase is likely to be manifested in the earlier part of the tornado season. In addition to the shift in seasonality, a broadening of the peak tornado season is also noticed under some scenarios. Geographically, portions of the Northern and Central Plains, the High Plains, the Lower Great Lakes, the Mid-Atlantic States, and the Southeast are projected to experience an increase in tornado days under some future scenarios. The Upper Great Lakes states and the Southern Plains are projected to experience a decrease in tornado days. |
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