Four Revolutions in the Earth Sciences

Four Revolutions in the Earth Sciences

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  • Author: James Lawrence Powell
  • Publisher: Columbia University Press
  • ISBN: 0231538456
  • Category : Science
  • Languages : en
  • Pages : 385

Over the course of the twentieth century, scientists came to accept four counterintuitive yet fundamental facts about the Earth: deep time, continental drift, meteorite impact, and global warming. When first suggested, each proposition violated scientific orthodoxy and was quickly denounced as scientific—and sometimes religious—heresy. Nevertheless, after decades of rejection, scientists came to accept each theory. The stories behind these four discoveries reflect more than the fascinating push and pull of scientific work. They reveal the provocative nature of science and how it raises profound and sometimes uncomfortable truths as it advances. For example, counter to common sense, the Earth and the solar system are older than all of human existence; the interactions among the moving plates and the continents they carry account for nearly all of the Earth's surface features; and nearly every important feature of our solar system results from the chance collision of objects in space. Most surprising of all, we humans have altered the climate of an entire planet and now threaten the future of civilization. This absorbing scientific history is the only book to describe the evolution of these four ideas from heresy to truth, showing how science works in practice and how it inevitably corrects the mistakes of its practitioners. Scientists can be wrong, but they do not stay wrong. In the process, astonishing ideas are born, tested, and over time take root.


Deep Learning for the Earth Sciences

Deep Learning for the Earth Sciences

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  • Author: Gustau Camps-Valls
  • Publisher: John Wiley & Sons
  • ISBN: 1119646162
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 436

DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices Deep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the link between deep learning and Earth sciences has only recently entered academic curricula and thus has not yet proliferated. Deep Learning for the Earth Sciences delivers a unique perspective and treatment of the concepts, skills, and practices necessary to quickly become familiar with the application of deep learning techniques to the Earth sciences. The book prepares readers to be ready to use the technologies and principles described in their own research. The distinguished editors have also included resources that explain and provide new ideas and recommendations for new research especially useful to those involved in advanced research education or those seeking PhD thesis orientations. Readers will also benefit from the inclusion of: An introduction to deep learning for classification purposes, including advances in image segmentation and encoding priors, anomaly detection and target detection, and domain adaptation An exploration of learning representations and unsupervised deep learning, including deep learning image fusion, image retrieval, and matching and co-registration Practical discussions of regression, fitting, parameter retrieval, forecasting and interpolation An examination of physics-aware deep learning models, including emulation of complex codes and model parametrizations Perfect for PhD students and researchers in the fields of geosciences, image processing, remote sensing, electrical engineering and computer science, and machine learning, Deep Learning for the Earth Sciences will also earn a place in the libraries of machine learning and pattern recognition researchers, engineers, and scientists.


The Basics of Earth Science

The Basics of Earth Science

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  • Author: Robert E. Krebs
  • Publisher:
  • ISBN: 9780313093265
  • Category : Earth sciences
  • Languages : en
  • Pages : 0

Provides a comprehensive introduction to earth science and includes discussions on geologic forces, the hydrosphere, and the atmosphere.


MATLAB® Recipes for Earth Sciences

MATLAB® Recipes for Earth Sciences

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  • Author: Martin H. Trauth
  • Publisher: Springer Science & Business Media
  • ISBN: 3540727485
  • Category : Computers
  • Languages : en
  • Pages : 294

Introduces methods of data analysis in geosciences using MATLAB such as basic statistics for univariate, bivariate and multivariate datasets, jackknife and bootstrap resampling schemes, processing of digital elevation models, gridding and contouring, geostatistics and kriging, processing and georeferencing of satellite images, digitizing from the screen, linear and nonlinear time-series analysis and the application of linear time-invariant and adaptive filters. Includes a brief description of each method and numerous examples demonstrating how MATLAB can be used on data sets from earth sciences.


A Dictionary of Earth Sciences

A Dictionary of Earth Sciences

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  • Author: Michael Allaby
  • Publisher:
  • ISBN:
  • Category :
  • Languages : en
  • Pages :

This dictionary of earth sciences has been revised and updated and contains over 6000 entries, including planetary science, remote sensing, statistics, and sequence stratigraphy, and substantial updating in paleontology, mineralogy, and geophysics.


Modeling Uncertainty in the Earth Sciences

Modeling Uncertainty in the Earth Sciences

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  • Author: Jef Caers
  • Publisher: John Wiley & Sons
  • ISBN: 1119998719
  • Category : Science
  • Languages : en
  • Pages : 294

Modeling Uncertainty in the Earth Sciences highlights the various issues, techniques and practical modeling tools available for modeling the uncertainty of complex Earth systems and the impact that it has on practical situations. The aim of the book is to provide an introductory overview which covers a broad range of tried-and-tested tools. Descriptions of concepts, philosophies, challenges, methodologies and workflows give the reader an understanding of the best way to make decisions under uncertainty for Earth Science problems. The book covers key issues such as: Spatial and time aspect; large complexity and dimensionality; computation power; costs of 'engineering' the Earth; uncertainty in the modeling and decision process. Focusing on reliable and practical methods this book provides an invaluable primer for the complex area of decision making with uncertainty in the Earth Sciences.


Practical Handbook of Earth Science

Practical Handbook of Earth Science

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  • Author: Jane H. Hodgkinson
  • Publisher: CRC Press
  • ISBN: 1351374702
  • Category : Nature
  • Languages : en
  • Pages : 426

This self-contained handbook provides a carefully researched, compact source of key earth science information and data, logically sorted by subject matter, and then cross-referenced. Appealing to both experts and non-experts alike, the book presents earth science and environmental science as closely intertwined. It includes tables of the global distributions of fossil fuels, contrasted by tables of the distribution of non-fossil energy sources. Concise explanations cover the subject matters of geology, geophysics, oceans, atmosphere with attention to environmental implications and resources.


Climate Intervention

Climate Intervention

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  • Author: National Research Council
  • Publisher: National Academies Press
  • ISBN: 0309305322
  • Category : Science
  • Languages : en
  • Pages : 154

The signals are everywhere that our planet is experiencing significant climate change. It is clear that we need to reduce the emissions of carbon dioxide and other greenhouse gases from our atmosphere if we want to avoid greatly increased risk of damage from climate change. Aggressively pursuing a program of emissions abatement or mitigation will show results over a timescale of many decades. How do we actively remove carbon dioxide from the atmosphere to make a bigger difference more quickly? As one of a two-book report, this volume of Climate Intervention discusses CDR, the carbon dioxide removal of greenhouse gas emissions from the atmosphere and sequestration of it in perpetuity. Climate Intervention: Carbon Dioxide Removal and Reliable Sequestration introduces possible CDR approaches and then discusses them in depth. Land management practices, such as low-till agriculture, reforestation and afforestation, ocean iron fertilization, and land-and-ocean-based accelerated weathering, could amplify the rates of processes that are already occurring as part of the natural carbon cycle. Other CDR approaches, such as bioenergy with carbon capture and sequestration, direct air capture and sequestration, and traditional carbon capture and sequestration, seek to capture CO2 from the atmosphere and dispose of it by pumping it underground at high pressure. This book looks at the pros and cons of these options and estimates possible rates of removal and total amounts that might be removed via these methods. With whatever portfolio of technologies the transition is achieved, eliminating the carbon dioxide emissions from the global energy and transportation systems will pose an enormous technical, economic, and social challenge that will likely take decades of concerted effort to achieve. Climate Intervention: Carbon Dioxide Removal and Reliable Sequestration will help to better understand the potential cost and performance of CDR strategies to inform debate and decision making as we work to stabilize and reduce atmospheric concentrations of carbon dioxide.


Introduction to Python in Earth Science Data Analysis

Introduction to Python in Earth Science Data Analysis

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  • Author: Maurizio Petrelli
  • Publisher: Springer Nature
  • ISBN: 3030780554
  • Category : Science
  • Languages : en
  • Pages : 229

This textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences. It drives the reader from his very first steps with Python, like setting up the environment and starting writing the first lines of codes, to proficient use in visualizing, analyzing, and modelling data in the field of Earth Science. Each chapter contains explicative examples of code, and each script is commented in detail. The book is minded for very beginners in Python programming, and it can be used in teaching courses at master or PhD levels. Also, Early careers and experienced researchers who would like to start learning Python programming for the solution of geological problems will benefit the reading of the book.


A Dictionary of Geology and Earth Sciences

A Dictionary of Geology and Earth Sciences

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  • Author: Michael Allaby
  • Publisher: Oxford University Press
  • ISBN: 0192575708
  • Category : Science
  • Languages : en
  • Pages : 1321

This new edition includes 10,000 entries which cover all areas of geoscience, including planetary science, oceanography, palaeontology, mineralogy and volcanology. In this edition, 675 new entries have been added, and include expanded coverage of planetary geology and earth-observing-satellites. Other new entries terms such as Ianammox, Boomerangian, earth rheological layering, and metamorphic rock classification. The entries are also complemented by more than 130 diagrams and numerous web links that are listed on a regularly updated dedicated companion website. Appendices supplement the A-Z and have been extended to include three new tables on the Torino Impact Hazard Scale, Avalanche Classes, and the Volcanic Explosivity Index. The list of satellite missions has also been revised and updated to include recent developments. A Dictionary of Geology and Earth Sciences is an authoritative, and jargon-free resource for students of geology, geography, geosciences, physical science, and those in related disciplines.