{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T22:00:11Z","timestamp":1773439211158,"version":"3.50.1"},"reference-count":32,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2018,10,23]],"date-time":"2018-10-23T00:00:00Z","timestamp":1540252800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Operational Programme Research, Development, and Education","award":["CZ.02.1.01\/0.0\/0.0\/15_003\/0000481"],"award-info":[{"award-number":["CZ.02.1.01\/0.0\/0.0\/15_003\/0000481"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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 Mile\u0161ovka 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.<\/jats:p>","DOI":"10.3390\/rs10111674","type":"journal-article","created":{"date-parts":[[2018,10,24]],"date-time":"2018-10-24T02:59:40Z","timestamp":1540349980000},"page":"1674","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Classification of Hydrometeors Using Measurements of the Ka-Band Cloud Radar Installed at the Mile\u0161ovka Mountain (Central Europe)"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9408-9138","authenticated-orcid":false,"given":"Zbyn\u011bk","family":"Sokol","sequence":"first","affiliation":[{"name":"Institute of Atmospheric Physics, Czech Academy of Sciences, 141 31 Prague, Czech Republic"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8870-9126","authenticated-orcid":false,"given":"Jana","family":"Min\u00e1\u0159ov\u00e1","sequence":"additional","affiliation":[{"name":"Institute of Atmospheric Physics, Czech Academy of Sciences, 141 31 Prague, Czech Republic"}]},{"given":"Petr","family":"Nov\u00e1k","sequence":"additional","affiliation":[{"name":"Czech Hydrometeorological Institute, 143 00 Praha-Komo\u0159any, Czech Republic"}]}],"member":"1968","published-online":{"date-parts":[[2018,10,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1175\/JTECH-D-14-00066.1","article-title":"A 35-GHz Polarimetric Doppler Radar for Long-Term Observations of Cloud Parameters\u2014Description of System and Data Processing","volume":"32","author":"Lehmann","year":"2015","journal-title":"J. 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