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    1. Naturvetenskap och teknik
    2. Geovetenskap
    3. Geovetenskap
    4. Meteorologi och klimatologi

    Mathematical and Physical Fundamentals of Climate Change

    AvZhihua Zhang,John C. Moore

    Inbunden, Engelska, 2014

    867 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

    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.

    • Includes MatLab and Fortran programs that allow readers to create their own models
    • Provides case studies to show how the math is applied to climate research
    • Online resources include presentation files, lecture notes, and solutions to problems in book for use in classroom or self-study

    Produktinformation

    • Utgivningsdatum:2014-11-25
    • Mått:152 x 229 x 33 mm
    • Vikt:860 g
    • Format:Inbunden
    • Språk:Engelska
    • Antal sidor:494
    • Förlag:Elsevier Science
    • ISBN:9780128000663

    Utforska kategorier

    • Meteorologi och klimatologi inom Naturvetenskap och teknik
    • Miljövetenskap och miljöpolitik inom Naturvetenskap och teknik

    Mer om författaren

    Prof. Zhihua Zhang is a Taishan Distinguished Professor at Shandong University (China) and is leading an AI for Digital Earth research group. His long-standing research focuses on Digital Earth, Earth system dynamics, Environmental evolution and Sustainability. Prof Zhang has published many Elsevier/Springer books as the first author and more than 80 articles as the first/corresponding author, highlighted many times by New Scientist (UK), China Science Daily, and China Social Science Daily. Due to his research achievement on AI for Digital Earth, Prof Zhang was elected as an IETI fellow in 2025. Currently, Prof. Zhang is serving in many global and regional known journals as an Editor-in-Chief, Associate Editor or Editorial Board Member, chairing the first tracks at the Mediterranean Geosciences Union Annual Meeting and has delivered several plenary/keynote presentations at international conferences. 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

    Innehållsförteckning

    • 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