Classification of Hydrometeors Using Measurements of the Ka-Band Cloud Radar Installed at the Milešovka Mountain (Central Europe)

In radar meteorology, greater interest is dedicated to weather radars and precipitation analyses. However, cloud radars provide us with detailed information on cloud particles from which the precipitation consists of. Motivated by research on the cloud particles, a vertical Ka-band cloud radar (35 G...

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Main Authors: Zbyněk Sokol, Jana Minářová, Petr Novák
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/10/11/1674
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spelling doaj-53b92b7ea2234c43b8dd942d1d52e9f62020-11-24T22:59:55ZengMDPI AGRemote Sensing2072-42922018-10-011011167410.3390/rs10111674rs10111674Classification of Hydrometeors Using Measurements of the Ka-Band Cloud Radar Installed at the Milešovka Mountain (Central Europe)Zbyněk Sokol0Jana Minářová1Petr Novák2Institute of Atmospheric Physics, Czech Academy of Sciences, 141 31 Prague, Czech RepublicInstitute of Atmospheric Physics, Czech Academy of Sciences, 141 31 Prague, Czech RepublicCzech Hydrometeorological Institute, 143 00 Praha-Komořany, Czech RepublicIn radar meteorology, greater interest is dedicated to weather radars and precipitation analyses. However, cloud radars provide us with detailed information on cloud particles from which the precipitation consists of. Motivated by research on the cloud particles, a vertical Ka-band cloud radar (35 GHz) was installed at the Milešovka observatory in Central Europe and was operationally measuring since June 2018. This study presents algorithms that we use to retrieve vertical air velocity (Vair) and hydrometeors. The algorithm calculating Vair is based on small-particle tracers, which considers the terminal velocity of small particles negligible and, thereby, Vair corresponds to the velocity of the small particles. The algorithm classifying hydrometeors consists of calculating the terminal velocity of hydrometeors and the vertical temperature profile. It identifies six hydrometeor types (cloud droplets, ice, and four precipitating particles: rain, graupel, snow, and hail) based on the calculated terminal velocity of hydrometeors, temperature, Vair, and Linear Depolarization Ratio. The results of both the Vair and the distribution of hydrometeors were found to be realistic for a thunderstorm associated with significant lightning activity on 1 June 2018.https://www.mdpi.com/2072-4292/10/11/1674precipitating hydrometeorhydrometeor classificationcloud radarKa-bandthunderstormthundercloudvertical air velocityterminal velocityMilešovka observatory
collection DOAJ
language English
format Article
sources DOAJ
author Zbyněk Sokol
Jana Minářová
Petr Novák
spellingShingle Zbyněk Sokol
Jana Minářová
Petr Novák
Classification of Hydrometeors Using Measurements of the Ka-Band Cloud Radar Installed at the Milešovka Mountain (Central Europe)
Remote Sensing
precipitating hydrometeor
hydrometeor classification
cloud radar
Ka-band
thunderstorm
thundercloud
vertical air velocity
terminal velocity
Milešovka observatory
author_facet Zbyněk Sokol
Jana Minářová
Petr Novák
author_sort Zbyněk Sokol
title Classification of Hydrometeors Using Measurements of the Ka-Band Cloud Radar Installed at the Milešovka Mountain (Central Europe)
title_short Classification of Hydrometeors Using Measurements of the Ka-Band Cloud Radar Installed at the Milešovka Mountain (Central Europe)
title_full Classification of Hydrometeors Using Measurements of the Ka-Band Cloud Radar Installed at the Milešovka Mountain (Central Europe)
title_fullStr Classification of Hydrometeors Using Measurements of the Ka-Band Cloud Radar Installed at the Milešovka Mountain (Central Europe)
title_full_unstemmed Classification of Hydrometeors Using Measurements of the Ka-Band Cloud Radar Installed at the Milešovka Mountain (Central Europe)
title_sort classification of hydrometeors using measurements of the ka-band cloud radar installed at the milešovka mountain (central europe)
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2018-10-01
description In radar meteorology, greater interest is dedicated to weather radars and precipitation analyses. However, cloud radars provide us with detailed information on cloud particles from which the precipitation consists of. Motivated by research on the cloud particles, a vertical Ka-band cloud radar (35 GHz) was installed at the Milešovka observatory in Central Europe and was operationally measuring since June 2018. This study presents algorithms that we use to retrieve vertical air velocity (Vair) and hydrometeors. The algorithm calculating Vair is based on small-particle tracers, which considers the terminal velocity of small particles negligible and, thereby, Vair corresponds to the velocity of the small particles. The algorithm classifying hydrometeors consists of calculating the terminal velocity of hydrometeors and the vertical temperature profile. It identifies six hydrometeor types (cloud droplets, ice, and four precipitating particles: rain, graupel, snow, and hail) based on the calculated terminal velocity of hydrometeors, temperature, Vair, and Linear Depolarization Ratio. The results of both the Vair and the distribution of hydrometeors were found to be realistic for a thunderstorm associated with significant lightning activity on 1 June 2018.
topic precipitating hydrometeor
hydrometeor classification
cloud radar
Ka-band
thunderstorm
thundercloud
vertical air velocity
terminal velocity
Milešovka observatory
url https://www.mdpi.com/2072-4292/10/11/1674
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AT petrnovak classificationofhydrometeorsusingmeasurementsofthekabandcloudradarinstalledatthemilesovkamountaincentraleurope
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