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…mehr
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.
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Autorenporträt
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)
Inhaltsangabe
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
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
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