A quantitative, broad, hands-on introduction to the cutting-edge science of global warming
This textbook introduces undergraduates to the concepts and methods of global warming science, covering topics that they encounter in the news, ranging from the greenhouse effect and warming to ocean acidification, hurricanes, extreme precipitation, droughts, heat waves, forest fires, the cryosphere, and more. This book explains each of the issues based on basic statistical analysis, simple ordinary differential equations, or elementary chemical reactions. Each chapter explains the mechanisms behind an observed or anticipated change in the climate system and demonstrates the tools used to understand and predict them. Proven in the classroom, Global Warming Science also includes “workshops” with every chapter, each based on a Jupyter Python notebook and an accompanying small data set, with supplementary online materials and slides for instructors. The workshop can be used as an interactive learning element in class and as a homework assignment.
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Eli Tziperman is professor of oceanography and applied physics in the Department of Earth and Planetary Sciences and the School of Engineering and Applied Sciences at Harvard University.
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Paperback. Condición: New. A quantitative, broad, hands-on introduction to the cutting-edge science of global warmingThis textbook introduces undergraduates to the concepts and methods of global warming science, covering topics that they encounter in the news, ranging from the greenhouse effect and warming to ocean acidification, hurricanes, extreme precipitation, droughts, heat waves, forest fires, the cryosphere, and more. This book explains each of the issues based on basic statistical analysis, simple ordinary differential equations, or elementary chemical reactions. Each chapter explains the mechanisms behind an observed or anticipated change in the climate system and demonstrates the tools used to understand and predict them. Proven in the classroom, Global Warming Science also includes "workshops" with every chapter, each based on a Jupyter Python notebook and an accompanying small data set, with supplementary online materials and slides for instructors. The workshop can be used as an interactive learning element in class and as a homework assignment.Provides a clear, broad, quantitative yet accessible approach to the science of global warmingEngages students in the analysis of climate data and models, examining predictions, and dealing with uncertaintyFeatures workshops with each chapter that enhance learning through hands-on engagementComes with supplementary online slides, code, and data filesRequires only elementary undergraduate-level calculus and basic statistics; no prior coursework in science is assumedSolutions manual available (only to instructors). Nº de ref. del artículo: LU-9780691228792
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Paperback. Condición: New. A quantitative, broad, hands-on introduction to the cutting-edge science of global warmingThis textbook introduces undergraduates to the concepts and methods of global warming science, covering topics that they encounter in the news, ranging from the greenhouse effect and warming to ocean acidification, hurricanes, extreme precipitation, droughts, heat waves, forest fires, the cryosphere, and more. This book explains each of the issues based on basic statistical analysis, simple ordinary differential equations, or elementary chemical reactions. Each chapter explains the mechanisms behind an observed or anticipated change in the climate system and demonstrates the tools used to understand and predict them. Proven in the classroom, Global Warming Science also includes "workshops" with every chapter, each based on a Jupyter Python notebook and an accompanying small data set, with supplementary online materials and slides for instructors. The workshop can be used as an interactive learning element in class and as a homework assignment.Provides a clear, broad, quantitative yet accessible approach to the science of global warmingEngages students in the analysis of climate data and models, examining predictions, and dealing with uncertaintyFeatures workshops with each chapter that enhance learning through hands-on engagementComes with supplementary online slides, code, and data filesRequires only elementary undergraduate-level calculus and basic statistics; no prior coursework in science is assumedSolutions manual available (only to instructors). Nº de ref. del artículo: LU-9780691228792
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