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Books in Earth and planetary sciences

The Computing collection presents a range of foundational and applied content across computer and data science, including fields such as Artificial Intelligence; Computational Modelling; Computer Networks, Computer Organization & Architecture, Computer Vision & Pattern Recognition, Data Management; Embedded Systems & Computer Engineering; HCI/User Interface Design; Information Security; Machine Learning; Network Security; Software Engineering.

11-20 of 2004 results in All results

Adapting to Urban Heat

  • 1st Edition
  • February 1, 2025
  • Carmen Galán Marín + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 8 9 7 7 - 4
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 8 9 7 8 - 1
Adapting to Urban Heat: Strategies and Tools for Resilience in Low Carbon Cities provides a comprehensive and rigorous examination of the issues associated with adapting to climate change and building urban resilience. The book's editors have gathered an impressive team of authors to examine the implications of urban heat, tools for decoding and coding urban heat, and design strategies for adapting to urban heat. Sections explore the issue from a variety of interdisciplinary perspectives, encompassing environmental engineering, climate change, ecology, data science, and architectural design.This reference is an essential resource for researchers and practitioners working in environmental science and climate change who are interested in building more resilient and sustainable cities.

Planetary Tectonism across the Solar System

  • 1st Edition
  • Volume 2
  • January 1, 2025
  • Christian Klimczak + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 6 0 9 2 - 3
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 6 5 3 6 - 2
Planetary Tectonism across the Solar System, Volume Two in the Comparative Planetology series, addresses key questions surrounding planetary tectonism, such our understanding of the global contraction of Mercury, the formation of giant rift zones on Saturn’s icy moons, or the tesserated terrain on Venus. The book makes connections to Earth, such as how deformation on Mercury is both similar and different, and how to apply theoretical considerations behind plate tectonics on Earth to other planets. The book offers up-to-date, accessible and comprehensive discussions on the major tectonic processes and landforms that shape and drive the evolution of planets, moons and smaller bodies. By placing a singular emphasis on comparing tectonic processes and landforms on all relevant Solar System bodies, with the explicit objective of providing a systems-level understanding of this widespread phenomenon, this book is ideal for anyone studying planetary tectonism.

Tropical Cyclones and Associated Impacts

  • 1st Edition
  • January 1, 2025
  • Gabriele Villarini + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 5 3 9 0 - 0
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 5 7 6 1 - 8
Tropical Cyclones and Associated Impacts: A Global Perspective provides a one-stop-shop for readers interested in the impacts of tropical cyclones, capturing the convergence of knowledge across disciplines and fields. Chapters in this book provide a coherent structure that reflects the hazards associated with these storms (e.g., storm surge, inland flooding and heavy rainfall, damaging winds) and their impacts on many spheres of our lives (e.g., energy, public health). This book is geared towards readers who have an interest in tropical cyclones, with a broad appeal to different audiences ranging from academia to federal and state agencies dealing with these storms.

Ideal and Real Atmospheric Boundary Layers

  • 1st Edition
  • January 1, 2025
  • Mathias W. Rotach + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 5 9 5 7 - 5
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 5 9 5 8 - 2
Ideal and Real Atmospheric Boundary Layers is based on the notion that classical books of Boundary Layer Meteorology largely focus on ideal surface conditions, while the actual real circumstances often address situations that are more complex, like over heterogeneous land and in urban and mountain areas.Ideal and Real Atmospheric Boundary Layers starts by covering the basic physical principles used in atmospheric boundary layer meteorology, including atmospheric turbulence, observing and modeling atmospheric boundary layers, and neutral, convective, and stable boundary layers over different types of land surfaces. The second part of the book describes the applications and extension of these principles for real-world circumstances. The book will be of interest to researchers and students in atmospheric science, climate science, and meteorology.

Multi-Scale Precipitation Variability Over the Tropics

  • 1st Edition
  • January 1, 2025
  • Parthasarathi Mukhopadhyay + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 4 0 3 0 - 3
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 4 0 3 1 - 0
Multi-Scale Precipitation Variability Over the Tropics: New Insights from Observations and Modelling explores the latest developments in the observation and modelling of tropical precipitation. Researchers will benefit from this detailed analysis of recent advancements in the field. The text first examines recent satellite and RADAR observations and how those breakthroughs enhance our understanding. This is followed by a review of NASA A-train observations as well as extreme events. The editors also look at predicting precipitation variability with a state-of-the-art ensemble forecast system. The text wraps with a discussion of multiscale cloud and precipitation variability with the backdrop of a changing climate.This text will provide researchers with new insights and a deeper understanding of the latest advances in the observation and modelling of tropical precipitation.

Aerosols and Precipitation Over Africa

  • 1st Edition
  • Volume 7
  • January 1, 2025
  • Akintomide A. Akinsanola + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 4 0 5 0 - 1
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 4 0 5 1 - 8
Aerosols and Precipitation Over Africa: Progress, Challenges, and Prospects provides a clear picture of the complex interactions between aerosols and precipitation over Africa. The text begins with a close look at aerosol distribution, observational and modeling techniques, and climate models. This is followed by an examination of the effect of aerosol on precipitation and the latest advances in aerosol-precipitation studies. The editors then review regional and largescale variability. Later chapters include a climatological assessment of aerosol and precipitation properties, projected changes in precipitation and cloud patterns, and expected challenges for the future.With these interactions confounded by the large-scale dynamical systems over the continent, this book will provide a much-needed, detailed understanding of the complex connections between aerosol and precipitation over Africa. It will be a valuable resource for environmental researchers, academics, and policymakers studying the latest developments in aerosols and precipitation over Africa.Members of the Royal Meteorological Society are eligible for a 35% discount on all Developments in Weather and Climate Science series titles. See the RMetS member dashboard for the discount code.

Artificial Intelligence for Subsurface Characterization and Monitoring

  • 1st Edition
  • January 1, 2025
  • Aria Abubakar
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 5 1 7 - 7
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 4 2 2 - 5
Artificial Intelligence for Subsurface Characterization and Monitoring provides an in-depth examination of how deep learning accelerates the process of subsurface characterization and monitoring and provides an end-to-end solution. In recent years, deep learning has been introduced to the geoscience community to overcome some longstanding technical challenges. This book explores some of the most important topics in this discipline to explain the unique capability of deep learning in subsurface characterization for hydrocarbon exploration and production and for energy transition. Readers will discover deep learning methods that can improve the quality and efficiency of many of the key steps in subsurface characterization and monitoring.The text is organized into five parts. The first two parts explore deep learning for data enrichment and well log data, including information extraction from unstructured well reports as well as log data QC and processing. Next is a review of deep learning applied to seismic data and data integration, which also covers intelligent processing for clearer seismic images and rock property inversion and validation. The closing section looks at deep learning in time lapse scenarios, including sparse data reconstruction for reducing the cost of 4D seismic data, time-lapse seismic data repeatability enforcement, and direct property prediction from pre-migration seismic data.

Digital Terrain Analysis, Third Edition

  • 3rd Edition
  • January 1, 2025
  • Igor Florinsky
  • English
  • Hardback
    9 7 8 - 0 - 4 4 3 - 2 4 7 9 8 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 4 7 9 9 - 6
Digital Terrain Analysis, Third Edition synthesizes knowledge on methods and applications of digital terrain analysis and geomorphometry in the context of multi-scale problems in soil science, geology, and polar research. Divided into four parts, the book examines the main concepts, principles, and methods of digital terrain modeling, methods for analysis, modeling, and mapping of spatial distribution of soil properties, techniques for recognition, analysis, and interpretation of topographically manifested geological features, and finally, polar research. This new release provides a theoretical and methodological basis for understanding and applying geographical modeling techniques.

Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems

  • 1st Edition
  • January 1, 2025
  • David Wood
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 6 5 1 0 - 5
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 6 5 1 1 - 2
Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems: Prediction Models Exploiting Well-Log Information explores machine and deep learning models for subsurface geological prediction problems commonly encountered in applied resource evaluation and reservoir characterization tasks. The book provides insights into how the performance of ML/DL models can be optimized—and sparse datasets of input variables enhanced and/or rescaled—to improve prediction performances. A variety of topics are covered, including regression models to estimate total organic carbon from well-log data, predicting brittleness indexes in tight formation sequences, trapping mechanisms in potential sub-surface carbon storage reservoirs, and more.Each chapter includes its own introduction, summary, and nomenclature sections, along with one or more case studies focused on prediction model implementation related to its topic.

Artificial Intelligence in Future Mining

  • 1st Edition
  • January 1, 2025
  • Amir Razmjou + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 8 9 1 1 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 8 9 1 2 - 5
Artificial Intelligence in Future Mining explores the latest developments in the use of artificial intelligence (AI) in mining and how it will impact the industry’s future. The application of data science and artificial intelligence in future mining involves using advanced technologies to optimize operations, improve decision-making, and enhance safety and sustainability in the industry. After a brief history of AI in mining, the book's editors look closely at different AI techniques used. Chapters explore ocean mining, brine mining, and urban mining. With an eye towards sustainability, the editors then review the future of wastewater mining and green mining.The book wraps up with chapters on safety and risk, resource planning, and a larger discussion of the opportunities and challenges of mining with AI in the future. This book is a must-have for researchers and professionals who find themselves at the intersection of mining, engineering, and data science.