1.

Record Nr.

UNINA9910337918803321

Autore

Ryzhkov Alexander V

Titolo

Radar Polarimetry for Weather Observations / / by Alexander V. Ryzhkov, Dusan S. Zrnic

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019

ISBN

3-030-05093-9

Edizione

[1st ed. 2019.]

Descrizione fisica

1 online resource (497 pages)

Collana

Springer Atmospheric Sciences, , 2194-5217

Disciplina

551.6353

Soggetti

Atmospheric sciences

Meteorology

Physical measurements

Measurement   

Physical geography

Atmospheric Sciences

Measurement Science and Instrumentation

Earth System Sciences

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Chapter1: Polarization, scattering, and propagation of electromagnetic waves -- Chapter2: Polarimetric Doppler radar -- Chapter3: Scattering by an ensemble hydrometeors - Polarimetric perspective. Chapter4: Microphysical and dielectric properties of hydrometeors -- Chapter5: Polarimetric variables -- Chapter6: Data quality and measurement errors -- Chapter7: Polarimetric “fingerprints” of microphysical processes in clouds and precipitation -- Chapter8: Polarimetric characteristics of deep convective storms -- Chapter9: Polarimetric Classification of radar echo -- Chapter10: Polarimetric measurements of precipitation -- Chapter11: Polarimetric microphysical retrievals.

Sommario/riassunto

This monograph offers a wide array of contemporary information on weather radar polarimetry and its applications. The book tightly connects the microphysical processes responsible for the development and evolution of the clouds’ bulk physical properties to the polarimetric variables, and contains the procedures on how to simulate realistic



polarimetric variables. With up-to-date polarimetric methodologies and applications, the book will appeal to practicing radar meteorologists, hydrologists, microphysicists, and modelers who are interested in the bulk properties of hydrometeors and quantification of these with the goals to improve precipitation measurements, understanding of precipitation processes, or model forecasts.