Mathematical and Physical Fundamentals of Climate Change is the first book to provide an overview of the math and physics necessary for scientists to understand and apply atmospheric and oceanic models to climate research. The book begins with basic mathematics then leads on to specific applications in atmospheric and ocean dynamics, such as fluid dynamics, atmospheric dynamics, oceanic dynamics, and glaciers and sea level rise. Mathematical and Physical Fundamentals of Climate Change provides a solid foundation in math and physics with which to understand global warming, natural climate variations, and climate models. This book informs the future users of climate models and the decision-makers of tomorrow by providing the depth they need. Developed from a course that the authors teach at Beijing Normal University, the material has been extensively class-tested and contains online resources, such as presentation files, lecture notes, solutions to problems and MATLab codes.
Mathematical and Physical Fundamentals of Climate Change is the first book to provide an overview of the math and physics necessary for scientists to understand and apply atmospheric and oceanic models to climate research. The book begins with basic mathematics then leads on to specific applications in atmospheric and ocean dynamics, such as fluid dynamics, atmospheric dynamics, oceanic dynamics, and glaciers and sea level rise. Mathematical and Physical Fundamentals of Climate Change provides a solid foundation in math and physics with which to understand global warming, natural climate variations, and climate models. This book informs the future users of climate models and the decision-makers of tomorrow by providing the depth they need. Developed from a course that the authors teach at Beijing Normal University, the material has been extensively class-tested and contains online resources, such as presentation files, lecture notes, solutions to problems and MATLab codes.
Mathematical and Physical Fundamentals of Climate Change is the first book to provide an overview of the math and physics necessary for scientists to understand and apply atmospheric and oceanic models to climate research.
Preface: Interdisciplinary Approaches to Climate Change Research1. Fourier Analysis2. Time-Frequency Analysis3. Filter Design4. Remote Sensing5. Basic Probability and Statistics6. Empirical Orthogonal Functions (EOFs)7. Random Processes and Power Spectra8. Autoregressive Moving Average (ARMA) Models9. Data Assimilation10. Fluid Dynamics11. Atmospheric Dynamics12. Oceanic Dynamics13. Glaciers and Sea Level Rise14. Climate and Earth System Models
Prof. Zhang’s long-standing researches focus on big earth data,
climate change mechanisms, ocean dynamics, environmental evolution
and sustainability. Prof Zhang has published six books as first
author:
Ø Frame Theory in Data Science (Springer, 2024),
Ø Environmental Data Analysis (DeGruyter, 2nd Edition, 2023),
Ø Big Data Mining for Climate Change (Elsevier, 2020),
Ø Patterns and Mechanisms of Climate, Paleoclimate and
Paleoenvironmental Change from Low-Latitude Regions (Springer,
2019),
Ø Multivariate Time Series Analysis in Climate & Environmental
Research (Springer, 2018),
Ø Mathematical and Physical Fundamentals of Climate Change
(Elsevier, 2015)
Prof. Zhang has published more than 80 articles, highlighting many
times by New Scientist (UK), China Science Daily, and China Social
Science Daily. Currently, Prof. Zhang is serving as an
Editor-in-Chief of Int J Big Data Mining for Global Warming (World
Scientific); an Associate Editor of Environ Dev Sustain (Springer),
EURASIP J Adv Signal Process (Springer), and Int J Climate Change
Strat & Manag (Emerald); and an Editorial Board Member of Earth Sci
Informatics (Springer), PLoS ONE, Open Geosci (DeGruyter), Int J
Global Warming (Indersci). Prof. Zhang is serving as the first
track chair of Mediterranean Geosciences Union Annual Meeting
(2021-now), and was invited as a plenary/keynote speaker at 2023
Mediterranean Geosciences Union Annual Meeting (Turkey) and 2024
International Conference on Intelligent Information Processing
(Romania)
John C. Moore is a Research Professor at Universities of Lapland
(Finland) and Uppsala (Sweden), a Chief Scientist & Research
Professor, Beijing Normal University (China), Guest professor at
Polar Research Institute of China, as well as the Director of Polar
Climate and Environment Key Laboratory. John C. Moore has published
over 100 papers, where six papers have been published in
Proceedings of the National Academy of Sciences (PNAS). John C.
Moore’s research includes climate change; past sea level change and
prediction, natural and anthropogenic climate forcing, impacts of
extreme climate events, and computer modelling of glacier flow and
evolution. John C. Moore was Finnish representative on the
International Arctic Science Committee, Glaciology Group. John
Moore is the Editor-in-Chief of “American Journal of Climate
Change and an Editorial Board Member of “The Cryosphere. John C.
Moore’s research is supported by European Science Foundation, EU
Northern Periphery Program, National Key Science Program for Global
Change Research (China), Finnish Academy, and NSFC
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