12/31/2011

Modeling Embedded Systems and SoC's: Concurrency and Time in Models of Computation (Systems on Silicon) Review

Modeling Embedded Systems and SoC's: Concurrency and Time in Models of Computation (Systems on Silicon)
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The writer of this book, Dr. Axel Jantsch, is a professor at the Royal Institute of Technology in Stockholm, Sweden. As a postgraduate student at the Technical University of Denmark, I have participated Dr. Jantsch's course whose curriculum was dictated by this book.
Dr. Jantsch is a splendid lecturer and his a pioneer in his comprehensive, yet highly-readable, cover of modelling technieques for embedded systems. The book covers in depth notions such as final state machines, petri nets, as well as the untimed, timed and synchronous computation models. Dr. Jantsch does not, unlike other sources, sticks only to the formalism related to the modelling, but also includes "real life" examples that make the reader apprieciate what model of computation is the more optimal for his modelling aims.

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The Basics of Scale Modeling (FineScale Modeler Books) Review

The Basics of Scale Modeling (FineScale Modeler Books)
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Lawrence Hansen compiles The Basics Of Scale Modeling, a step-by-step photo guide to scale modeling for bare-bones beginners. The best models are tiny museum-quality replicas of the real thing: the art lies in capturing the element of realism of the real thing, and it's an art presented by The Basics Of Scale Modeling's techniques culled from FineScale Modeler magazine articles covering the basics. From setting up the initial work area and assembling the tools to planning a project for smooth success, this is a 'must' for any who would start on their first scale model.

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Practical Unigraphics NX2 Modeling for Engineers: A Project Oriented Learning Manual Review

Practical Unigraphics NX2 Modeling for Engineers: A Project Oriented Learning Manual
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I received the merchandise in a timely manner. It was new and in excellent shape. Thank you, Brenda Rickman

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Practical Unigraphics NX2 Modeling for Engineers is a cost-effective, self-paced course in UGS NX2 software. The NX2 book includes practical exercises, self-tests, and timesaving tips that are applicable for both NX and NX2.This Unigraphics book is a joint effort by Design Visionaries to bring to life DV President Stephen Samuel's vision of compiling and publishing the NX training exercises that he has been creating for the engineering community for years. Like his Unigraphics training programs, this book is also project-oriented.Methods outlined in this UG book go beyond an academic use of Unigraphics-they are tricks of the trade that come from thousands of hours of actual use of Unigraphics to design some of the most difficult products in the world. In many cases, the examples and exercises emulate actual design work. The exercises provided in this UG book are classroom tested, and are guaranteed to give you the knowledge you need to learn NX2.

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12/30/2011

Modeling in Event-B: System and Software Engineering Review

Modeling in Event-B: System and Software Engineering
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This is an official text book for Event-b.
The samples are on the web.
I input these sample codes with typing.
There are some differences between the book and the web.
You can discuss about that in the Event-b mailing list.
Some errata are on the Event-B web.
After doing samples, you may be a specialist about Event-b.

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A practical text suitable for an introductory or advanced course in formal methods, this book presents a mathematical approach to modelling and designing systems using an extension of the B formal method: Event-B. Based on the idea of refinement, the author's systematic approach allows the user to construct models gradually and to facilitate a systematic reasoning method by means of proofs. Readers will learn how to build models of programs and, more generally, discrete systems, but this is all done with practice in mind. The numerous examples provided arise from various sources of computer system developments, including sequential programs, concurrent programs and electronic circuits. The book also contains a large number of exercises and projects ranging in difficulty. Each of the examples included in the book has been proved using the Rodin Platform tool set, which is available free for download at www.event-b.org.

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Environmental Modeling: A Practical Introduction Review

Environmental Modeling: A Practical Introduction
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Environmental Modeling: A Practical Introduction by Mike Barnsley (CRC) Increasingly used to represent climatic, biogeochemical, and ecological systems, computer modeling has become an important tool that should be in every environmental professional's toolbox. Environmental Modeling: A Practical Introduction is just what it purports to be, a practical introduction to the various methods, techniques, and skills required for computerized environmental modeling. Exploring the broad arena of environmental modeling, the book demonstrates how to represent an environmental problem in conceptual terms, formalize the conceptual model using mathematical expressions, convert the mathematical model into a program that can be run on a desktop or laptop computer, and examine the results produced by the computational model.
Equally important, the book imparts skills that allow you to develop, implement, and experiment with a range of computerized environmental models. The emphasis is on active engagement in the modeling process rather than on passive learning about a suite of well-established models. The author takes a practical approach throughout, one that does not get bogged down in the details of the underlying mathematics and that encourages learning through "hands on" experimentation. He provides a set of-software tools and data sets that you can use to work through the various examples and exercises presented in each chapter, as well as presentational material and handouts for course tutors. Comprehensive and up-to-date, the book discusses how computational models can be used to represent environmental systems and illustrates how such models improve understanding of the ways in which environmental systems function.
The initial motivation to write this book stemmed from the perception of a growing divide between the increasingly sophisticated computer-based models that are being developed to represent various aspects of Earth's environmental systems (including those pertaining to its climate, ecosystems, biogeochemical cycles and hydrological processes) and the ability of many undergraduate students, and even some graduate students, of the environmental sciences to engage constructively with these models. The aim of this book, therefore, is to provide a practical introduction to the various methods, techniques and skills involved in computerized environmental modeling, including (i) representing an environmental problem in conceptual terms (i.e., devel¬oping a conceptual model), (ii) formalizing the conceptual model using mathemati¬cal expressions (i.e., formulating a mathematical model), (iii) converting the math¬ematical model into a program that can be run on a desktop or a laptop computer (i.e., implementing a computational model) and (iv) examining the results produced by the computational model (i.e., visualizing the output from a model and checking the model's validity in comparison with observations of the target system).


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Increasingly used to represent climatic, biogeochemical, and ecological systems, computer modeling has become an important tool that should be in every environmental professional's toolbox. Environmental Modeling: A Practical Introduction is just what it purports to be, a practical introduction to the various methods, techniques, and skills required for computerized environmental modeling. Exploring the broad arena of environmental modeling, the book demonstrates how to represent an environmental problem in conceptual terms, formalize the conceptual model using mathematical expressions, convert the mathematical model into a program that can be run on a desktop or laptop computer, and examine the results produced by the computational model.
Equally important, the book imparts skills that allow you to develop, implement, and experiment with a range of computerized environmental models. The emphasis is on active engagement in the modeling process rather than on passive learning about a suite of well-established models. The author takes a practical approach throughout, one that does not get bogged down in the details of the underlying mathematics and that encourages learning through 'hands on" experimentation. He provides a set of software tools and data sets that you can use to work through the various examples and exercises presented in each chapter, as well as presentational material and handouts for course tutors. Comprehensive and up-to-date, the book discusses how computational models can be used to represent environmental systems and illustrates how such models improve understanding of the ways in which environmental systems function.

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Hints and Tips for Plastic Modeling Review

Hints and Tips for Plastic Modeling
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This book gave you a lot of information (hints and tips). Although the book is very basic there is still a lot to learn, and most of the time simple solutions for big problems (in the eyes of the modeler).Those simple solutions are easy to follow, with great results. After some practical sessions you never forget what you learned.

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12/29/2011

Using the Workshop Approach in the High School English Classroom: Modeling Effective Writing, Reading, and Thinking Strategies for Student Success Review

Using the Workshop Approach in the High School English Classroom: Modeling Effective Writing, Reading, and Thinking Strategies for Student Success
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Without being reductive, this text is an excellent resource for High School English Teachers and secondary language/arts majors. I cannot recommend this text more highly. - Todd Finley

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Take a peek into an effective workshop-based classroom and discover how you can enhance adolescents' technical and creative abilities in reading, writing, and thinking.

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Nonparametric Regression Methods for Longitudinal Data Analysis: Mixed-Effects Modeling Approaches (Wiley Series in Probability and Statistics) Review

Nonparametric Regression Methods for Longitudinal Data Analysis: Mixed-Effects Modeling Approaches (Wiley Series in Probability and Statistics)
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Very good introductory text for nonparametric regression. This book first gives motivation for the processes, outlines the methods of smoothing, and then covers various regression techniques. Not particularly mathematical, although some linear algebra knowledge is necessary. Very accessible as a first course. Does not go very in-depth into the theory of any of the methods, however.

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Incorporates mixed-effects modeling techniques for more powerful and efficient methodsThis book presents current and effective nonparametric regression techniques for longitudinal data analysis and systematically investigates the incorporation of mixed-effects modeling techniques into various nonparametric regression models. The authors emphasize modeling ideas and inference methodologies, although some theoretical results for the justification of the proposed methods are presented.With its logical structure and organization, beginning with basic principles, the text develops the foundation needed to master advanced principles and applications. Following a brief overview, data examples from biomedical research studies are presented and point to the need for nonparametric regression analysis approaches. Next, the authors review mixed-effects models and nonparametric regression models, which are the two key building blocks of the proposed modeling techniques.The core section of the book consists of four chapters dedicated to the major nonparametric regression methods: local polynomial, regression spline, smoothing spline, and penalized spline. The next two chapters extend these modeling techniques to semiparametric and time varying coefficient models for longitudinal data analysis. The final chapter examines discrete longitudinal data modeling and analysis.Each chapter concludes with a summary that highlights key points and also provides bibliographic notes that point to additional sources for further study. Examples of data analysis from biomedical research are used to illustrate the methodologies contained throughout the book. Technical proofs are presented in separate appendices.With its focus on solving problems, this is an excellent textbook for upper-level undergraduate and graduate courses in longitudinal data analysis. It is also recommended as a reference for biostatisticians and other theoretical and applied research statisticians with an interest in longitudinal data analysis. Not only do readers gain an understanding of the principles of various nonparametric regression methods, but they also gain a practical understanding of how to use the methods to tackle real-world problems.

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Mathematical Modeling of Biological Systems, Volume II: Epidemiology, Evolution and Ecology, Immunology, Neural Systems and the Brain, and Innovative ... in Science, Engineering and Technology) Review

Mathematical Modeling of Biological Systems, Volume II: Epidemiology, Evolution and Ecology, Immunology, Neural Systems and the Brain, and Innovative ... in Science, Engineering and Technology)
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the book is very useful for those who are dedicated to the epidemiology and research is really useful.

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Volume II of this two-volume, interdisciplinary work is a unified presentation of a broad range of state-of-the-art topics in the rapidly growing field of mathematical modeling in the biological sciences. Highlighted throughout are mathematical and computational apporaches to examine central problems in the life sciences, ranging from the organization principles of individual cells to the dynamics of large populations. The chapters are thematically organized into the following main areas: epidemiology, evolution and ecology, immunology, neural systems and the brain, and innovative mathematical methods and education.The work will be an excellent reference text for a broad audience of researchers, practitioners, and advanced students in this rapidly growing field at the intersection of applied mathematics, experimental biology and medicine, computational biology, biochemistry, computer science, and physics.

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12/28/2011

Animation and 3d Modeling on the Mac Review

Animation and 3d Modeling on the Mac
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For the complete dummy to concepts in 3D, the full-color illustrations and explanations are top notch. If you're looking to get your feet wet on how 3D is handled by computers this IS the book for you. PC owners can benefit from it also (just disregard the Mac specific concepts located near the end of the book). It covers most of the big concepts found in virtually all 3D applications such as modeling, textures, shadows, lighting, and animation.Seasoned animators will want to look elsewhere unless unless you're in need of filling "holes" in your knowledge of the basics.

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This visual, instructional tool will guide novice and experienced animators through the exhilarating but often complex challenge of designing in 3D. More than 1,000 striking color illustrations show how the world's best modelers and animators create their work. The book also reveals how to use the best tools available in the leading software packages.

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Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling Review

Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling
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This textbook has a fantastic overview and tutorial of information handling that is applicable to much more than hydrology. The chapter on HDF5 alone is the best explanation I've seen yet of how it works. The example code is clear and builds from very basic operations to complex operations.
Contents
1. Data Integrative Studies in Hydroinformatics
2. Unified Modeling Language
3. Digital Library Technology for Hydrology
4. Hydrologic Metadata
5. Hydrologic Data Models
6. The Modelshed Geodata
7. Data Models for Storage and Retrieval
8. Data Formats
9. HDF5
10. Web Services
11. Extensible Markup Language
12. Grid Computing
13. Integrated Data Management System
14. Introduction to Data Processing
15. Understanding Data Sources
16. Data Representation
17. Spatial Registration
18. Georeferencing
19. Data Integration
20. Feature Extraction
21. Feature Selection and Analysis
22. Statistical Data Mining
23. Artificial Neural Networks
24. Genetic Algorithms
25. Fuzzy Logic
Appendix 1
Appendix 2
Appendix 3
Appendix 4
Appendix 5
Appendix 6
Index

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Modern hydrology is more interdisciplinary than ever. Staggering amounts and varieties of information pour in from GIS and remote sensing systems every day, and this information must be collected, interpreted, and shared efficiently. Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling introduces the tools, approaches, and system considerations necessary to take full advantage of the abundant hydrological data available today.Linking hydrological science with computer engineering, networking, and database science, this book lays a pedagogical foundation in the concepts underlying developments in hydroinformatics. It begins with an introduction to data representation through Unified Modeling Language (UML), followed by digital libraries, metadata, the basics of data models, and Modelshed, a new hydrological data model. Building on this platform, the book discusses integrating and managing diverse data in large datasets, data communication issues such as XML and Grid computing, the basic principles of data processing and analysis including feature extraction and spatial registration, and modern methods of soft computing such as neural networks and genetic algorithms.Today, hydrological data are increasingly rich, complex, and multidimensional. Providing a thorough compendium of techniques and methodologies, Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling is the first reference to supply the tools necessary to confront these challenges successfully.

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Computer Modeling of Chemical Reactions in Enzymes and Solutions (Wiley Professional) Review

Computer Modeling of Chemical Reactions in Enzymes and Solutions (Wiley Professional)
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This book has become a classic in the field. While we now have more modern and efficient methods (like DFT) the basic approach remains the same, so it is still worth reading.
The book comes with source code in Fortran. Its main problem is that you cannot download the code in the book from the Internet, but you can get revised, more modern versions, so it's not that bad after all. The source in the book is rather limited, oriented to illustrating the points and the calculations, but if you combine it with some other reference, like Allen-Tildesley's (the other major classic), it is enough to proceed with your own implementation (should you be interested in doing one).
The math I found a bit difficult to follow as it does not match similar approaches in other quantum mechanics or molecular mechanics books, but once you get used to it, it is OK.
Coverage is fair for the date it was written and sticks to the title topic covering it very well. It is worth reading to understand many of the modern approaches, how they work and what they mean. Actually, if you are interested in this topic (enzymatic reactions) your only other resource would be to gather a number of other books and combine their contents yourself in your mind. A lot more work than having this one.
To a large extent, modern (as of 2010) work still relies mostly on the approaches exposed in this book, so it is bang for the buck, but it would be advisable to complement it with some readings on modern DFT approaches as these are now slowly taking over the semiempirical approaches described here.

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This practical reference explores computer modeling of enzyme reations--techniques that help chemists, biochemists and pharmaceutical researchers understand drug and enzyme action.

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12/27/2011

Electricity Cost Modeling Calculations Review

Electricity Cost Modeling Calculations
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"This book provides a comprehensive guide to the cost issues surrounding the generation, transmission, and distribution of electricity. It is a must-read for legislators, regulators, energy professionals, and all persons involved in shaping global climate change policy"
James E. Rogers, Chairman, President, and Chief Executive Officer, Duke Energy
(this review appears on the back cover of the book !!!)

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A "quick look up guide," Electricity Cost Modeling Calculations places the relevant formulae and calculations at the reader's finger tips. In this book, theories are explained in a nutshell and then the calculation is presented and solved in an illustrated, step-by-step fashion. A valuable guide for new engineers, economists (or forecasters), regulators, and policy makers who want to further develop their knowledge of best practice calculations techniques or experienced practitioners (and even managers) who desire to acquire more useful tips, this book offers expert advice for using such cost models to determine optimally-sized distribution systems and optimally-structured power supplying entities. In other words, this book provides an Everything-that-you-want-to-know-about-cost-modelling-for-electric-utilities (but were afraid to ask) approach to modelling the cost of supplying electricity. In addition, the author covers the concept of multiproduct and multistage cost functions, which are appropriate in modelling the cost of supplying electricity. The author has done all the heavy number-crunching, and provides the reader with real-world, practical examples of how to properly quantify the costs associated with providing electric service, thus increasing the accuracy of the results and support for the policy initiatives required to ensure the competitiveness of the power suppliers in this new world in which we are living.

The principles contained herein could be employed to assist in the determination of the cost-minimizing amount of output (i.e., electricity), which could then be used to determine whether a merger between two entities makes sense (i.e., would increase profitability). Other examples abound: public regulatory commissions also need help in determining whether mergers (or divestitures) are welfare-enhancing or not; ratemaking policies depend on costs and properly determining the costs of supplying electric (or gas, water, and local telephone) service. Policy makers, too, can benefit in terms of optimal market structure; after all, the premise of deregulation of the electric industry was predicated on the idea that generation could be deregulated. Unfortunately, the economies of vertical integration between the generation.
A comprehensive guide to the cost issues surrounding the generation, transmission, and distribution of electricity;Real-world examples that are practical, meaningful, and easy to understand;Policy implications and suggestions to aid in the formation of the optimal market structure going forward (thus increasing efficiency of electric power suppliers) The principles contained herein could be employed to assist in the determination of the cost-minimizing amount of output

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Analytical Modeling in Applied Electromagnetics (Artech House Electromagnetic Analysis Series) Review

Analytical Modeling in Applied Electromagnetics (Artech House Electromagnetic Analysis Series)
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This is a excellent book focusing on modeling of modern materials and structures. It starts with thin layers and progresses toward periodic structures, composites and metamaterials. In fact the last chapter on metamaterials is brief but especially lucid. The presentation is well suited toward engineering applications. The book certainly requires a good background in engineering electromagnetics. The title is somewhat deceiving as it is not a book on modeling of all types of electromagnetic systems. For example, the book does not cover typical antenna applications. This is not a gripe but a clarification. Overall, I consider this book invaluable for better understanding of modern engineered materials and their engineering application.

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A treatment of analytical modelling in applied electromagnetics, focusing on the nature of models in radio engineering. It examines topics such as metamaterials, photonic bandgaps and artificial impedance surfaces, and applies these concepts to a wide range of applications. The author provides working examples that are mainly directed to antenna applications, but the modelling methods and results can be used for other practical devices as well.

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Exploring 3D Modeling with Maya 6 (Design Exploration) Review

Exploring 3D Modeling with Maya 6 (Design Exploration)
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I have never written a review - but I had to when I read the one preceeding this. I am a student at SCAD, and we gave input on this book (being students, I think that was smart). We wanted the 'don't go theres', because books often don't tell you common mistakes that happen when you try a new procedure. The don't go theres in this book help you through the common mistakes and how to get out of them, something other books don't do. I like it, and it really helped when I went through the exercises.
This book is also great in that it covers new territory. Some teachers just recycle the Maya tutorials on the Alias website. This book covers some great shortcuts.

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At last, a software book thatÂ's as much about the art of 3D modeling and animation as it is about the specific features of the software!Exploring 3D Modeling with Maya offers a rock-solid introduction to the workings of Alias/WavefrontÂ's industry-standard 3D modeling and animation software. But throughout the book the authors-award-winning animators and experienced educators-keep the emphasis on how designers can use Maya to meet client needs with stunning animation while exploring their own artistic impulses. Coverage includes basic modeling techniques, working with colors and textures, lighting, cinematography, and rendering.

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12/26/2011

Geographic Information Systems and Cartographic Modeling Review

Geographic Information Systems and Cartographic Modeling
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...well not really, but this book sparked the scientific interest in it. The concepts surrounding surface analysis date back to late 1970s and were championed by Dana Tomlin with his PhD dissertation in 1983, which was later published as this book. Here, Tomlin introduces map algebra operators based on how a computer algorithm obtains data values for processing raster surfaces. He identifies three fundamental classes: local, focal and zonal functions.
Tomlin is a must to any academic student of GIS, since much or nearly all work on raster GIS springs off from Tomlin's work. The illustrations clearly show that this is an old book, but the knowlegde still remains as brilliant today as it was then.
This is a book you want to own, simply because it is very sought after and constantly unavailable from your university library.

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Snow and Climate: Physical Processes, Surface Energy Exchange and Modeling Review

Snow and Climate: Physical Processes, Surface Energy Exchange and Modeling
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This is a serious treatment that greatly updates the previously published Handbook of Snow: Principles, Processes, Management and Use. Richard Armstrong (Univ. Colorado, Boulder) has devoted much effort to the study of snow. This book may be a bit intimidating to the average user, but systematic reading and use reveals of wealth of current knowledge applicable to transportation, recreation and climate change. The book is organized in five sections: 1) Introduction and the basic properties of snow, 2) Physical processes within snow cover, 3) Snow-atmosphere energy and mass balance, 4) Snow cover parameterization and modeling, 5) Snow-cover data, measurement, products and sources. Sixteen contributers from around the world bring current language and knowledge regarding snow. It is refreshing that the text uses SI measurements exclusively. In light of global climate change, the presence and absence of snow has greater importance in the form of water, economics, transportation, weather and climate characteristics and ecosystem maintenance.
Snow is one of the most unstable substances on Earth. It changes during evaporation into the atmosphere, to formation of ice crystals suspended in the atmosphere, to clouds, to precipitation, to long-term deposition on the ground. It is a substance that exists close to the triple-point of water: vapor, liquid and solid. Geothermal heat plays a key role in the transformation of snow from deposition on the ground to release into the atmosphere. There is a good discussion of metamorphism using current terms and understanding - equilibrium growth form, kinetic growth form, wet and dry snow, porosity, permeability, radiation, snow albedo and more. This is collective wisdom that requires a heavy dose of hands-on time and serious look at snow, reflection, discussion.
The discussion of snow-cover data measurement, products and sources is welcome for common understanding and systematic measurement of snow. While many states view the winter snow pack as "water towers in the sky" that slowly release their water and sustain farms and cities below, global climate change is putting this all askew. Snow surveyors, water agencies, irrigation districts, and countries make periodic observations of snow-cover. This text helps standardize the rhetoric and practices of snow observation.
A Snow model questionaire helps the reader understand specifically what is involved in observing, recording and making use of snow cover data.

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The extent and variability of seasonal snow cover are important parameters in the climate system, due to their effects on energy and moisture budgets, and because surface temperature is highly dependent on snow cover. In turn, snow cover trends serve as key indicators of climate change. Many distinct techniques have become available to study snow-climate relationships. Satellites provided the first capability for monitoring snow cover extent at continental and hemispheric scales, and there have been rapid advances in snow modeling physics to represent snow cover and snow processes in Global Climate Models (GCMs). These advances have changed the way we look at snow cover. The main goal of this book is to provide a synthesis of the prevailing state of snow-climate science that reflects this distinct perspective. This volume provides an excellent synthesis for researchers and advanced students.

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