Analysis of Two Convective Storms Using Polarimetric X-Band Radar and Satellite Data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F22%3A00557274" target="_blank" >RIV/68378289:_____/22:00557274 - isvavai.cz</a>

Alternative codes found

RIV/00216275:25530/22:39919948 RIV/00216208:11310/22:10449422 RIV/60460709:41330/22:91745

Result on the web

<a href="https://www.mdpi.com/2072-4292/14/10/2294/html" target="_blank" >https://www.mdpi.com/2072-4292/14/10/2294/html</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/rs14102294" target="_blank" >10.3390/rs14102294</a>

Result language

angličtina

Original language name

Analysis of Two Convective Storms Using Polarimetric X-Band Radar and Satellite Data

Original language description

We analyzed two convective storms that passed over or near the Milešovka meteorological observatory. The observatory is located at the top of a hill and has been recently equipped with a Doppler polarimetric X-band radar FURUNO WR2120 for cloud investigations. Our analysis was based mainly on Doppler polarimetric radar data measured in vertical cross-sections (RHI-Range-Height Indicator). Radar data was also used for classifying hydrometeors by a newly developed XCLASS (X-band radar CLASSification) algorithm. We also used rapid scan data measured by the geostationary satellite Meteosat Second Generation to validate radar measurements at the upper parts of storms. Although an attenuation correction was applied to the reflectivity and differential reflectivity measurements, the attenuation typical of X-band radars was noticeable. It was mainly manifested in the differential reflectivity, co-polar correlation coefficient and specific differential phase. Nevertheless, radar measurements can be used to analyze the internal cloud structure of severe convective storms. The XCLASS classification was developed by major innovation of a previously published algorithm. The XCLASS algorithm identifies seven types of hydrometeors: light rain, rain, wet snow, dry snow, ice, graupel, and hail. It uses measured horizontal and vertical radar reflectivity, specific differential phase, co-polar correlation coefficient, and temperature, and applies fuzzy logic to determine the type of hydrometeor. The new algorithm practically eliminates unrealistic results around and below the melting layer provided by the original algorithm. It identifies wet snow in more cases, and areas with individual hydrometeors have more realistic shapes compared to the original algorithm. The XCLASS algorithm shows reasonable results for the classification of hydrometeors and can be used to study the structure of convective storms.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10509 - Meteorology and atmospheric sciences

Project

<a href="/en/project/EF15_003%2F0000481" target="_blank" >EF15_003/0000481: Research Center of Cosmic Rays and Radiation Events in the Atmosphere</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Remote Sensing

ISSN

2072-4292

e-ISSN

2072-4292

Volume of the periodical

14

Issue of the periodical within the volume

10

Country of publishing house

CH - SWITZERLAND

Number of pages

22

Pages from-to

2294

UT code for WoS article

000804909300001

EID of the result in the Scopus database

2-s2.0-85130313931