Radar for Meteorological and Atmospheric Observations
Shoichiro Fukao, Kyosuke Hamazu, Consulted by Richard J. Doviak
Springer, 2013, 537 pp
Epoch-making progress in meteorology and atmospheric science has always been hastened by the development of advanced observational technologies, in particular, radar technology. Meteorological radar and atmospheric radar each has a different history and has been developed independently. Particular radar activities have been conducted within their own communities. Although the technology of these radars draws upon many common fields, until now the interrelatedness and interdisciplinary nature of the research fields have not been consistently discussed in one volume containing fundamental theories, observational methods, and results. This book bridges the gap in our understanding of weather and atmospheric radar. The book consists of two parts. The first half mainly discusses the theoretical bases of weather and atmospheric radar, and the second half describes actual systems and observations made with these radars.
ISBN 978-4-431-54333-6 (Print) 978-4-431-54334-3 (Online)
Automating the Analysis of Spatial Grids: A Practical Guide to Data Mining Geospatial Images for Human and Environmental Applications
Springer, 2012, 330 pp
The ability to create automated algorithms to process gridded spatial data is increasingly important as remotely sensed datasets increase in volume and frequency. Whether in business, social science, ecology, meteorology or urban planning, the ability to create automated applications to analyze and detect patterns in geospatial data is increasingly important. This book provides students with a foundation in topics of digital image processing and data mining as applied to geospatial datasets. The aim is for readers to be able to devise and implement automated techniques to extract information from spatial grids such as radar, satellite or high-resolution survey imagery.
ISBN 978-94-007-4074-7 (Print) and 978-94-007-4075-4 (Online)
Detection Thresholds for Spectral Moments and Polarimetric Variables: Concepts, Methods, and Implementations to Separate Partially Coherent Signals from Noise
Igor Rade Ivic
VDM Verlag, 2009, 212 pp
The US National Weather Service is introducing polarization diversity to its national network of Doppler radars. Introduction of dual-polarization brings new information that can be used for separating signals from noise. Classical approaches apply thresholds on estimated signal-to-noise ratio and/or the magnitude of autocorrelation coefficient at lag one. Because the weather signals from the two orthogonally polarized electric fields are highly correlated this feature can be used to enhance the detection. This book provides a comprehensive analysis of a novel approach that combines estimates of powers, autocorrelations, and cross-correlation to effectively enhance the signal detection on the polarimetric weather radars. The book gives detailed description of a computationally efficient method suited for real-time implementation. Principles and approaches laid out are general and can be applied to other cases where sensing of partially coherent signals is of interest. Moreover, methods for evaluating probabilities at the tails of density functions are exposed.
Parameterization Schemes: Keys to Understanding Numerical Weather Prediction Models
David J. Stensrud
Cambridge University Press, 2007, 459 pp
This is the first book to provide in-depth explorations of the most commonly used types of parameterization schemes that influence short-range weather forecasts and global climate models. Each chapter covers a different type of parameterization scheme, starting with an overview explaining why each scheme is needed, and then reviewing the basic theory behind it. Several parameterizations are summarized and compared, followed by a discussion of their limitations. Review questions at the end of each chapter enable readers to monitor their understanding of the topics covered, and solutions are available at www.cambridge.org/9780521865401.
Dynamic Data Assimilation: A Least Squares Approach
John M. Lewis, S. Lakshmivarahan, Sudarshan Dhall
Cambridge University Press, 2006
This book develops the mathematical tools that are central to present-day data assimilation at operational weather prediction centers worldwide. It is enriched by “pencil and paper” exercises as well as those that make use of mathematical software packages such as MATLAB. Each of the 32 chapters ends with pointers to the literature and discussions of historical foundations of the subject. As stated by reviewers of the book: “...it essentially covers all that we know about state estimation for dynamically evolving systems—a grand effort on a much needed textbook. A treasure and wonderful resource for students.”
Doppler Radar and Weather Observations, Second Edition
Richard J. Doviak and Dusan S. Zrnic
Dover Publications, 2006, 592 pp (paperback)
The Electrical Nature of Storms
Donald R. MacGorman and W. David Rust
Oxford University Press, 1998
Aviation Weather Surveillance Systems: advanced radar and surface sensors for flight safety and air traffic management
Pravas Mahapatra with contributions from Richard J. Doviak, Vladislav Mazur, and Dusan S. Zrnic
The Institution of Electrical Engineers and The American Institute of Aeronautics and Astronautics, 1999