Shaun Lovejoy is Professor of Physics at McGill University, where he also earned his PhD in the same subject. He received his undergraduate and Master's degree in theoretical physics from Trinity College, Cambridge. He studies scaling ideas in the geosciences, and has contributed to the explosive growth of nonlinear geophysics including the modeling and empirical analyses and characterization of geosystems over wide ranges of scales.

"excellently places a really beautiful and instructive discussion about some key points: random vs. deterministic, turbulence, scales, (fractional) dimensions, weather vs. macroweather vs. climate, providing a new understanding of the atmosphere . . . the reader will be fascinated in discovering a different point of view of understanding data and modeling physical systems as simple as possible. It is therefore a must for anyone having interests in nonlinear geosciences and should be used for both pedagogical and research purposes due to its ease of understanding and readability, being characterized by 20 "boxes" with more in depth information as well as footnotes helping readers who want more information." -- Tommaso Alberti, Frontiers in Climate

"[T]his book is a well written, incisive analysis of the atmosphere's behaviour over a wide range of spatial and temporal scales, aimed at the wider scientific audience. It is highly recommended to professional meteorologists too, and this reviewer certainly benefited from reading it." -- Adrian Tuck, Weather magazine

"Compelling reading for scientists of all stripes...well written, incisive analysis of the atmosphere's behaviour over a wide range of spatial and temporal scales, aimed at the wider scientific audience. It is highly recommended to professional meteorologists too, and this reviewer certainly benefited from reading it." -- Adrian Tuck, Weather (Journal of the Royal Meteorological Society)

"[Lovejoy] explains in simple terms the concept of atmospheric variability, from millimetre to planetary scales and from milliseconds to billions of years...students looking for an introduction to atmospheric modeling will not easily find one more readable than Weather, Macroweather, and the Climate." -- Costas Varotsos, Physics Today