Weather Radar Polarimetry  book cover
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Weather Radar Polarimetry





ISBN 9780367866532
Published December 10, 2019 by CRC Press
304 Pages

 
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Book Description

This book presents the fundamentals of polarimetric radar remote sensing through understanding wave scattering and propagation in geophysical media filled with hydrometers and other objects. The text characterizes the physical, statistical, and electromagnetic properties of hydrometers and establishes the relations between radar observables and physical state parameters. It introduces advanced remote sensing techniques (such as polarimetric phased array radar) and retrieval methods for physical parameters. The book also illustrates applications of polarimetric radar measurements in hydrometer classification, particle size distribution retrievals, microphysical parameterization, and weather quantification and forecast.

Table of Contents

Introduction



Historical development



Objectives and organization of the book





Characterization of Hydrometeors



Physical and statistical properties



Electromagnetic properties





Wave Scattering by a Single Particle



Wave and electromagnetic wave



Scattering fundamentals



Rayleigh scattering



Mie scattering theory



Scattering calculations by a non-spherical particle



Scattering for arbitrary orientations





Scattering and Propagation in Cloud and Precipitation



Scattering models



Single scattering model



Coherent wave propagation



Propagation-included scattering





Radar Measurements and Improvement of Data Quality



Polarimetric weather radar system and equation



Regular estimation of polarimetric radar variables



Multi-lag correlation estimators



Clutter detection



Clutter mitigation





Applications in Weather Observation and Quantification



Observation of polarimetric radar signatures



Hydrometeor classification



Quantitative precipitation estimation (QPE)



Drop size distribution retrieval



Attenuation correction





Advanced Methods and Optimal Retrievals



Simultaneous attenuation correction and DSD retrieval



Statistical retrieval of rain DSDs



Variational retrieval



Optimal retrieval through data assimilation (DA)





Phased Array Radar Polarimetry



Background and challenges



Formulation for planar polarimetric phased array radar



Cylindrical polarimetric phased array radar

...
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Author(s)

Biography

Guifu Zhang is Professor of Meteorology at University of Oklahoma School of Meteorology.