Thunderstorm hail and lightning detection parameters based on dual-polarization Doppler weather radar data
| Autor: | Piia Post, Dmitri Moisseev, Tarmo Tanilsoo, Tanel Voormansik, Pekka Rossi |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences Meteorology 0208 environmental biotechnology Storm 02 engineering and technology 01 natural sciences 020801 environmental engineering law.invention Storm cell Hail spike 13. Climate action law Convective storm detection Thunderstorm Environmental science Weather radar Radar Graupel 0105 earth and related environmental sciences |
| Zdroj: | Meteorological Applications. 24:521-530 |
| ISSN: | 1350-4827 |
| DOI: | 10.1002/met.1652 |
| Popis: | Four years (2011–2014) of the summer period (May–September) dual-polarization Doppler C-band weather radar data for Surgavere, Estonia, were examined to determine the best indicator for cloud-to-ground lightning activity. Furthermore, the legacy radar-derived hail indicator probability of hail and the storm maximum reflectivity were compared with the polarimetric hydrometeor classification algorithm (HCA) to establish a link between them and ensure data continuity. The study is based on convective storm cells identified from radar reflectivity data, using a 35 dBZ reflectivity threshold. Applying this threshold to the radar data resulted in 123 360 individual storm cells. It was found that 33.9% of the identified cells produced lightning and 25.9% hail. The number of individual storm cells on average is highest in the afternoon at 1600 local time and the mean storm cell area is largest in the evening at 2100 local time. Echo top 15 dBZ (ET15), ET20 and ET25 achieved the highest scores in terms of critical success index (0.39, 0.39 and 0.38 respectively), Heidke skill score (0.24, 0.26, 0.27) and equitable threat score (0.14, 0.15, 0.16). The graupel class of the dual-polarization radar hydrometeor classification showed a similar performance to the 35 dBZ echo top. It was also shown that the reflectivity value just below 50 dBZ indicates the best skill for detection of hail, if HCA hail detection is used as the ground truth. The probability of hail value that shows the best agreement with the HCA hail class is 0.2. |
| Databáze: | OpenAIRE |
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