Analysis of Two Convective Storms Using Polarimetric X-Band Radar and Satellite Data
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 … celý popis
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01. 05. 2022
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2072-4292 - DOI
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| Abstract | 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. |
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| AbstractList | 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. |
| ArticleNumber | 2294 |
| Author | Bobotová, Gabriela Fišer, Ondřej Sokol, Zbyněk Zacharov, Petr Popová, Jana |
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| Cites_doi | 10.1007/978-3-030-05093-1 10.1007/s00024-021-02847-3 10.1175/JAMC-D-12-0236.1 10.1175/MWR-D-14-00047.1 10.5194/nhess-6-229-2006 10.1175/WAF-D-14-00062.1 10.1175/MWR-D-18-0081.1 10.1016/j.atmosres.2013.09.015 10.1016/j.atmosres.2008.10.026 10.1016/j.atmosres.2008.10.004 10.3390/atmos11070689 10.1175/MWR-D-14-00180.1 10.1175/1520-0469(2003)60<1297:AIOTGM>2.0.CO;2 10.1175/1520-0450(1963)002<0270:SRMOH>2.0.CO;2 10.1016/j.atmosres.2011.05.005 10.5194/amt-15-261-2022 10.1016/j.atmosres.2016.10.003 10.1016/S0273-1177(97)00051-3 10.1175/JAMC-D-19-0122.1 10.1016/j.atmosres.2014.07.019 10.3390/rs10111674 10.3390/rs13030503 10.1175/JAMC-D-18-0247.1 10.1016/j.atmosres.2010.03.009 |
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| Snippet | 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... |
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| SubjectTerms | Algorithms Attenuation Classification Clouds convective storm Correlation coefficient Correlation coefficients Cosmic rays Differential thermal analysis Electric fields Fuzzy logic Graupel hydrometeor classification Hydrometeors Lightning Meteorological satellites MSG Observatories Polarimetry Precipitation Radar Radar data Radar measurement Rain Rainfall Reflectance Remote sensing Snow Storms Superhigh frequencies Synchronous satellites Weather Weather forecasting X-band radar |
| Title | Analysis of Two Convective Storms Using Polarimetric X-Band Radar and Satellite Data |
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