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Fundamentals of Glacier Dynamics (Hardcover, 2nd edition)
Loot Price: R6,730
Discovery Miles 67 300
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Fundamentals of Glacier Dynamics (Hardcover, 2nd edition)
Expected to ship within 12 - 17 working days
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Measuring, monitoring, and modeling technologies and methods
changed the field of glaciology significantly in the 14 years since
the publication of the first edition of Fundamentals of Glacier
Dynamics. Designed to help readers achieve the basic level of
understanding required to describe and model the flow and dynamics
of glaciers, this second edition provides a theoretical framework
for quantitatively interpreting glacier changes and for developing
models of glacier flow. See What's New in the Second Edition:
Streamlined organization focusing on theory, model development, and
data interpretation Introductory chapter reviews the most important
mathematical tools used throughout the remainder of the book New
chapter on fracture mechanics and iceberg calving Consolidated
chapter covers applications of the force-budget technique using
measurements of surface velocity to locate mechanical controls on
glacier flow The latest developments in theory and modeling,
including the addition of a discussion of exact time-dependent
similarity solutions that can be used for verification of numerical
models The book emphasizes developing procedures and presents
derivations leading to frequently used equations step by step to
allow readers to grasp the mathematical details as well as physical
approximations involved without having to consult the original
works. As a result, readers will have gained the understanding
needed to apply similar techniques to somewhat different
applications. Extensively updated with new material and focusing
more on presenting the theoretical foundations of glacier flow, the
book provides the tools for model validation in the form of
analytical steady-state and time-evolving solutions. It provides
the necessary background and theoretical foundation for developing
more realistic ice-sheet models, which is essential for better
integration of data and observations as well as for better model
development.
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