This fascinating work makes the link between the rarified world of maths and the down-to-earth one inhabited by engineers. It introduces and explains classical and modern mathematical procedures as applied to the real problems confronting engineers and geoscientists. Written in a manner that is understandable for students across the breadth of their studies, it lays out the foundations for mastering difficult and sometimes confusing mathematical methods. Arithmetic examples and figures fully support this approach, while all important mathematical techniques are detailed. Derived from the author's long experience teaching courses in applied mathematics, it is based on the lectures, exercises and lessons she has used in her classes.

This book brings together a representative set of Earth System Science (ESS) applications of the neural network (NN) technique. It examines a progression of atmospheric and oceanic problems, which, from the mathematical point of view, can be formulated as complex, multidimensional, and nonlinear mappings. It is shown that these problems can be solved utilizing a particular type of NN the multilayer perceptron (MLP). This type of NN applications covers the majority of NN applications developed in ESSs such as meteorology, oceanography, atmospheric and oceanic satellite remote sensing, numerical weather prediction, and climate studies. The major properties of the mappings and MLP NNs are formulated and discussed. Also, the book presents basic background for each introduced application and provides an extensive set of references.

This is an excellent book to learn how to apply artificial neural network methods to earth system sciences. The author, Dr. Vladimir Krasnopolsky, is a universally recognized master in this field. With his vast knowledge and experience, he carefully guides the reader through a broad variety of problems found in the earth system sciences where neural network methods can be applied fruitfully. (...) The broad range of topics covered in this book ensures that researchers/graduate students from many fields (...) will find it an invaluable guide to neural network methods. (Prof. William W. Hsieh, University of British Columbia, Vancouver, Canada)

Vladimir Krasnopolsky has been the founding father of applying computation intelligence methods to environmental science; (...) Dr. Krasnopolsky has created a masterful exposition of a young, yet maturing field that promises to advance a deeper understanding of best modeling practices in environmental science. (Dr. Sue Ellen Haupt, National Center for Atmospheric Research, Boulder, USA)

Vladimir Krasnopolsky has written an important and wonderful book on applications of neural networks to replace complex and expensive computational algorithms within Earth System Science models. He is uniquely qualified to write this book, since he has been a true pioneer with regard to many of these applications. (...) Many other examples of creative emulations will inspire not just readers interested in the Earth Sciences, but any other modeling practitioner (...) to address both theoretical and practical complex problems that may (or will ) arise in a complex system." (Prof. Eugenia Kalnay, University of Maryland, USA)

This PhD thesis details the development of a new 1D ionospheric model to describe the upper atmospheres of extrasolar giant plants. The upper atmospheres of Hot Jupiters are subject to extreme radiation conditions that can result in rapid atmospheric escape. The composition and structure of these planets' upper atmospheres are affected by high-energy emissions from the host star. The nature of these emissions depends on the stellar type and age, making them important factors in understanding the behaviour of exoplanetary atmospheres.

This book describes the relationship between the atmosphere and the external plasma of Earth in an unconventional manner. While the main mechanical energy is located in the dense atmosphere, the presence of Earth's plasma environment, which is immersed in the magnetosphere, causes a number of very interesting effects on the atmosphere. A list of such effects includes magnetic substorms, magnetic storms and aurora to the dynamics of the upper atmosphere, heating, thermal expansion, and vertical and horizontal winds. Particle precipitation produces excess ionization and electric currents, causes electric fields, affects recombination and modifies chemical reactions. These are processes which may become important in the climate. The collected articles provide an overview of these effects. This volume is aimed at graduate students and researchers active in the areas of atmospheric science and space science. Previously published in Space Science Reviews, Vol. 168/1-4, 2012.

Solar energetic particles (SEPs) emitted from the Sun are a major space weather hazard motivating the development of predictive capabilities. This book presents the results and findings of the HESPERIA (High Energy Solar Particle Events forecasting and Analysis) project of the EU HORIZON 2020 programme. It discusses the forecasting operational tools developed within the project, and presents progress to SEP research contributed by HESPERIA both from the observational as well as the SEP modelling perspective. Using multi-frequency observational data and simulations HESPERIA investigated the chain of processes from particle acceleration in the corona, particle transport in the magnetically complex corona and interplanetary space, to the detection near 1 AU. The book also elaborates on the unique software that has been constructed for inverting observations of relativistic SEPs to physical parameters that can be compared with space-borne measurements at lower energies. Introductory and pedagogical material included in the book make it accessible to students at graduate level and will be useful as background material for Space Physics and Space Weather courses with emphasis on Solar Energetic Particle Event Forecasting and Analysis. This book is published with open access under a CC BY license.

The rate at which geospatial data is being generated exceeds our computational capabilities to extract patterns for the understanding of a dynamically changing world. Geoinformatics and data mining focuses on the development and implementation of computational algorithms to solve these problems. This unique volume contains a collection of chapters on state-of-the-art data mining techniques applied to geoinformatic problems of high complexity and important societal value. Data Mining for Geoinformatics addresses current concerns and developments relating to spatio-temporal data mining issues in remotely-sensed data, problems in meteorological data such as tornado formation, estimation of radiation from the Fukushima nuclear power plant, simulations of traffic data using OpenStreetMap, real time traffic applications of data stream mining, visual analytics of traffic and weather data and the exploratory visualization of collective, mobile objects such as the flocking behavior of wild chickens. This book is designed for researchers and advanced-level students focused on computer science, earth science and geography as a reference or secondary text book. Practitioners working in the areas of data mining and geoscience will also find this book to be a valuable reference.

The book is intended for people (graduates, researchers, but also undergraduates with a good mathematical background) involved in the study of (static) optimization problems (in finite-dimensional spaces). It contains a lot of material, from basic tools of convex analysis to optimality conditions for smooth optimization problems, for non smooth optimization problems and for vector optimization problems.
The development of the subjects are self-contained and the bibliographical references are usually treated in different books (only a few books on optimization theory deal also with vector problems), so the book can be a starting point for further readings in a more specialized literature.
Assuming only a good (even if not advanced) knowledge of mathematical analysis and linear algebra, this book presents various aspects of the mathematical theory in optimization problems. The treatment is performed in finite-dimensional spaces and with no regard to algorithmic questions. After two chapters concerning, respectively, introductory subjects and basic tools and concepts of convex analysis, the book treats extensively mathematical programming problems in the smmoth case, in the nonsmooth case and finally vector optimization problems.
- Self-contained
- Clear style and results are either proved or stated precisely with adequate references
- The authors have several years experience in this field
- Several subjects (some of them non usual in books of this kind) in one single book, including nonsmooth optimization and vector optimization problems
- Useful long references list at the end of each chapter

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Key for every course in soil science, earth science, and environmental disciplines, this textbook engages students to critically look at soil as the central link in the function and creation of the terrestrial environment. For the first time, Dr. Hillel brilliantly discusses soils as a natural body that is engaged in dynamic interaction with the atmosphere above and the strata below that influences the planet's climate and hydrological cycle, and serves as the primary habitat for a versatile community of living organisms.
Soil in the Environment offers a larger perspective of soil's impact on the environment by organizing chapters among three main processes: Physical, Chemical and Biology. It provides students of geology, physical science, and environmental studies with fundamental information and tools for meeting the natural resource challenges of the 21st Century, while providing students of soil science and ecology with the understanding of physical and biological interactions necessary for sustainability.
* First textbook to unite soil science and the environment beyond what is traditionally taught
* Incorporates current knowledge of such hot topics as climate change, pollution control, human expropriation of natural resources, and the prospects for harmonious and sustainable development
* Organized in a student-friendly format with examples, discussion boxes, and key definitions in every chapter
* Full color throughout
Companion Website includes:
1. Suggested field trips
2. Exercises and figures per chapter
3. Cross references to articleswith links from Hillel's Encyclopedia of Soils in the Environment 4-vol set

This book covers various aspects of spatial data modelling specifically regarding three-dimensional (3D) modelling and structuring. The realization of "true" 3D geoinformation spatial systems requires a high input, and the developmental process is taking place in various research centers and universities around the globe. The development of such systems and solutions, including the modelling theories are presented in this book.

Failure by the international community to make substantive progress in reducing CO2 emissions, coupled with recent evidence of accelerating climate change, has brought increasing urgency to the search for additional remediation approaches. This book presents a selection of state-of-the-art geoengineering methods for deliberately reducing the effects of anthropogenic climate change, either by actively removing greenhouse gases from the atmosphere or by decreasing the amount of sunlight absorbed at the Earth's surface. These methods contrast with more conventional mitigation approaches which focus on reducing emissions of greenhouse gases, especially carbon dioxide. Geoengineering technologies could become a key tool to be used in conjunction with emissions reduction to limit the magnitude of climate change. Featuring authoritative, peer-reviewed entries from the Encyclopedia of Sustainability Science and Technology, this book presents a wide range of climate change remediation technologies.

Here, the authors present modern mathematical methods to solve problems of differential-operator inclusions and evolution variation inequalities which may occur in fields such as geophysics, aerohydrodynamics, or fluid dynamics. For the first time, they describe the detailed generalization of various approaches to the analysis of fundamentally nonlinear models and provide a toolbox of mathematical equations. These new mathematical methods can be applied to a broad spectrum of problems. Examples of these are phase changes, diffusion of electromagnetic, acoustic, vibro-, hydro- and seismoacoustic waves, or quantum mechanical effects. This is the second of two volumes dealing with the subject.

This book focuses on visualization modules of GI software and systems, and tries to answer the specific question "How commonly is stereoscopic visualization supported in GI systems?." To achieve this, first whether such support exits or not in mainstream GI software is documented. The study is further detailed to assess which type of stereoscopic operations and viewing methods are supported. Motivated by improving efficiency of stereoscopic visualizations in cartographic do-main, within this survey, it is also examined whether these systems and software offer level of detail management support for stereoscopic data-sets. Findings from the study meant as a guide to researchers and practitioners to assess the cur-rent state of True 3D support in cartography and GI Systems.

Precision farming is an agricultural management system using global navigation satellite systems, geographic information systems, remote sensing, and data management systems for optimizing the use of nutrients, water, seed, pesticides and energy in heterogeneous field situations. This book provides extensive information on the state-of-the-art of research on precision crop protection and recent developments in site-specific application technologies for the management of weeds, arthropod pests, pathogens and nematodes. It gives the reader an up-to-date and in-depth review of both basic and applied research developments. The chapters discuss I) biology and epidemiology of pests, II) new sensor technologies, III) applications of multi-scale sensor systems, IV) sensor detection of pests in growing crops, V) spatial and non-spatial data management, VI) impact of pest heterogeneity and VII) precise mechanical and chemical pest control.

This book presents a state-of-the-art overview of ongoing GIScience research that has been presented at the 10th Conference of the Association of Geographic Information Laboratories for Europe (AGILE), held in Aalborg, Denmark. Included are 27 fully peer-reviewed papers not only covering basic GIScience research themes, but also ongoing research on technological advancements, as well as applied research on environmental modeling and management.