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Geological History of Earth's Climate
- 1st Edition - February 1, 2026
- Authors: F.P. Agterberg, Eric Grunsky
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 6 5 9 0 - 7
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 6 5 9 1 - 4
Geologic History of the Earth’s Climate: Mathematical Approaches to Modeling offers an exhaustive examination of Earth's climate oscillations across the Paleozoic, Mesozoic, and… Read more
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Request a sales quoteGeologic History of the Earth’s Climate: Mathematical Approaches to Modeling offers an exhaustive examination of Earth's climate oscillations across the Paleozoic, Mesozoic, and Cenozoic eras. Through advanced mathematical modeling techniques and spectral analysis, it dissects the statistical attributes of meteorological phenomena across geological time boundaries from the Anthropocene to the Quaternary epoch. Central to the book's theory is the Pareto-lognormal distribution, a heavy-tailed frequency distribution that sheds light on the profound impact of greenhouse gas concentrations on an evolving Earth and the impact of these changes on our planet’s dynamics. Geologic History of the Earth’s Climate serves as an indispensable resource for scientists and researcher, providing mathematical approaches to unraveling the intricacies of Earth's climatic past, geological history, dynamics.
• Links climate change to the linear Phanerozoic time scale, using current stage boundary age estimates • Includes detailed spectral analysis and multifractal theory, discussing the spectra for autocorrelated observations along time or space series • Presents an approach that considers the possibility of today's short-term climate change surpassing the expectations of most current models
Geoscientists, climatologists and paleoclimatologists
- No. of pages: 340
- Language: English
- Edition: 1
- Published: February 1, 2026
- Imprint: Elsevier
- Paperback ISBN: 9780443265907
- eBook ISBN: 9780443265914
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F.P. Agterberg
F.P. Agterberg obtained his PhD at Utrecht University in 1961. After a 1-year post-doctorate Fellowship of the Wisconsin Alumni Research Foundation in Madison, he joined the Geological Survey of Canada in Ottawa where he headed the Geomathematics Section from 1969 to 1996.He has published over 350 scientific papers and 4 books including “Geomathematics” in 1974 which sold about 10,000 copies. During the past 7 years he has helped to estimate the ages of 6 GTS200 stage boundaries, and was a co-editor of the Encyclopedia of Mathematical Geosciences in which he also authored 24 chapters. From1968 he was associated with the University of Ottawa where he taught “statistics in geology” for 25 years. In total, he has supervised about 20 students in Canada and China. Other positions included directing the Quantitative Stratigraphy Project of the International Geological Correlation Program. He became Correspondent of the Royal Dutch Academy of Sciences in 1981 and was President of the International Association for Mathematical Geosciences (2004-2008),
Affiliations and expertise
Mathematical Applications in Geology Section, Geological Survey of Canada, Ottawa, Canada,xxxxEG
Eric Grunsky
Dr. Grunsky is a distinguished graduate of the University of Toronto with a B.Sc. in Earth Sciences, holding an M.Sc. in Structural Geology and a Ph.D. in Mathematical Geosciences from the University of Ottawa. He is a recognized Fellow and former Councilor of the Association of Applied Geochemists, actively contributing to the Education committee. Additionally, he has served as the Secretary General for the International Association for Mathematical Geosciences and is a Professional Geoscientist (P.Geo.) in Ontario. Dr. Grunsky boasts a rich editorial history, including roles such as Editor-in-Chief for Computers & Geosciences and Applied Computing and Geosciences, among others. His extensive career spans geological field mapping at prestigious institutions like the Geological Survey of Canada and the Commonwealth Scientific Industrial Research Organisation (CSIRO) in Australia. Dr. Grunsky's research focuses on multivariate statistical methods and spatial statistics applied to geochemical data for mineral exploration and predictive geological mapping, evident in his numerous peer-reviewed publications and presentations.