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)
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