Research Highlight: Great Lakes Basin Heat Waves
We’re pleased to highlight new research co-authored by C1W collaborators at Aquanty (Andre Erler) and the University of Toronto (Dr. Richard Peltier). This new paper explores the effects of climate change and greenhouse gases on extreme heat events in the Great Lakes region.
Xie, F., Erler, A. R., Chandan, D., & Peltier, W. R. (2021). Great Lakes Basin Heat Waves: An Analysis of Their Increasing Probability of Occurrence Under Global Warming. In Frontiers in Water (Vol. 3). Frontiers Media SA. https://doi.org/10.3389/frwa.2021.782265
Abstract:
Extreme heat events in the Great Lakes Basin (GLB) region of eastern North America are expected to increase in concert with greenhouse gas (GHG) induced global warming. The extent of this regional increase is also influenced by the direct effects of the Great Lakes themselves. This paper describes results from an ensemble of dynamically downscaled global warming projection using the Weather Research and Forecast (WRF) regional climate model coupled to the Freshwater Lake (FLake) model over the Great Lakes region. In our downscaling pipeline, we explore two sets of WRF physics configurations, with the initial and boundary conditions provided by four different fully coupled Global Climate Models (GCMs). Three time periods are investigated, namely an instrumental period (1979–1989) that is employed for validation, and a mid-century (2050–2060) and an end-century (2085–2100) periods that are used to understand the future impacts of global warming. Results from the instrumental period are characterized by large variations in climate states between the ensemble members, which is attributed to differences in both GCM forcing and WRF physics configuration. Results for the future periods, however, are such that the regional model results have good agreement with GCM results insofar as the rise of average temperature with GHG is concerned. Analysis of extreme heat events suggests that the occurrence rate of such events increase steadily with rising temperature, and that the Great Lakes exert strong lake effect influence on extreme heat events in this region.
Figure 13. Extreme heat event analysis for simulation with CESM forcing and T physics. The three rows display annually averaged number of extreme heat days per year computed using surface temperature, average summer surface relative humidity, and average number of extreme heat days per year computed using the HI. The three columns represent the historical, mid-twenty-first century and end-twenty-first century time periods. Color bar at the bottom represents the scale used for extreme heat days for each column respectively. Note that the scale of colorbars for heat event days differs between the time periods.