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

0496933 - ÚFA 2019 RIV CH eng J - Journal Article
Sokol, Zbyněk - Minářová, Jana - Novák, P.
Classification of Hydrometeors Using Measurements of the Ka-Band Cloud Radar Installed at the Milešovka Mountain (Central Europe).
Remote Sensing. Roč. 10, č. 11 (2018), č. článku 1674. E-ISSN 2072-4292
Institutional support: RVO:68378289
Keywords : precipitating hydrometeor * hydrometeor classification * cloud radar * Ka-band * thunderstorm * thundercloud * vertical air velocity * terminal velocity * Milešovka observatory
OECD category: Meteorology and atmospheric sciences
Impact factor: 4.118, year: 2018
https://www.mdpi.com/2072-4292/10/11/1674

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.
Permanent Link: http://hdl.handle.net/11104/0289538