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Earth Sciences & Geography - Atmospheric Sciences | The Application of Neural Networks in the Earth System Sciences - Neural Networks Emulations for (Reviews)

The Application of Neural Networks in the Earth System Sciences

Neural Networks Emulations for Complex Multidimensional Mappings

Krasnopolsky, Vladimir M.

2013, XVII, 189 p. 59 illus., 24 illus. in color.

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 “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)

"The author’s unique perspective that a theoretical physicist and an environmental scientist makes this book a well-balanced combination of a NN theory and practical applications in two main areas, numerical climate/weather models and satellite remote sensing areas, in which the author has made significant contributions. (...) Among many interesting and practical NN applications, several very important oceanic NN applications, in satellite remote sensing (forward and inverse problems), in ocean wind wave models, and in ocean data assimilation systems, are presented in the book.  These and other examples demonstrate the power and flexibility of the NN technique and show how to apply this technique to real life problems. (Prof. Isaac Ginis, University of Rhode Island, USA)

 

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