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Shaun Lovejoy
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Project: Stochastic modeling of the weather, climate and the weather/climate transitionShaun Lovejoy doesn’t seem to mind a little chaos. Take his inspiration from the book Fractals: form and chance, by famed Polish mathematician Benoît Mandelbrot, a book that made sense of the fractured, spiraling, dizzying geometry of nature in a way no one thought possible. Now Lovejoy makes a career of finding the reason in the random, bringing order to science’s understanding of how the atmosphere, time and space come together. Past studies have ranged from remote sensing of rain to the still complex, but more predictable task of modeling the atmosphere. And Lovejoy is just hitting his stride as technology catches up with ideas. “We’re in a ‘golden age’ of geophysics with unprecedented quantities of data spanning huge ranges of scale and computers powerful enough to handle them,” says Lovejoy. “That’s the most exciting place While at CIRES, Lovejoy is working on bridging the small time-scale weather events with the bigger climate picture. Lovejoy is working with Prashant Sardeshmukh and Cécile Penland and the Climate Diagnostics team using stochastic modeling, the modeling of random environmental process, to look for relationships between the two atmospheric time scales. The aim is to see how one could help the other, and as a result lead to a new and more accurate forecasting method. Who knows? This could help the Montreal native make the most out of the weather here for some of his favorite pastimes with his two teenage children, such as skiing, hiking, and camping. Sponsor: Vijay Gupta Email: ovejoy@physics.mcgill.ca |
