Weather Radar Polarimetry  book cover
1st Edition

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


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