Mathematical and Physical Fundamentals of Climate Change
Elsevier Science Publishing Co Inc (Verlag)
9780128000663 (ISBN)
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
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
| Sprache | englisch |
|---|---|
| Maße | 152 x 229 mm |
| Gewicht | 860 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Angewandte Mathematik |
| Naturwissenschaften ► Biologie ► Ökologie / Naturschutz | |
| Naturwissenschaften ► Geowissenschaften ► Meteorologie / Klimatologie | |
| ISBN-13 | 9780128000663 / 9780128000663 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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