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12th European conference on RADar in meteorology and hydrology (ERAD 2024) - Assessment of Hail Detection Capability of Hydrometeor Identification Algorithm over C-Band network
Congress
Authorship:
Esteban Garuti ; P. Salio ; GALLIGANI, VICTORIA SOL ; Cancelada, Maite ; F. Verdelho ; Cesar BenettiDate:
2024Publishing House and Editing Place:
European conference on RADar in meteorology and hydrologySummary *
The present work analyzes the capability of the Dolan et al. (2013) Hydrometeor Identification Algorithm (HID) to detect hail across different organization convective modes in Argentina. Data from C-band polarimetric radars belonging to Argentina's national meteorological radar network (SINARAME) and hail reports from the South American Meteorological Hazard and Impact Database (SAMHI, https://samhi.cima.fcen.uba.ar/) were used. To assess the efficacy of the HID hail detection, our methodology relies on the hail reports from the South American Meteorological Hazard and Impact Database (SAMHI, accessible at https://samhi.cima.fcen.uba.ar/, Salio et al., 2024) within the operational coverage of C-band polarimetric radars, covering 2018 to 2023. In order to do so, we further employed radiosonde data coincident with the radar observations to evaluate vertical temperature profiles. Employing the Python ARM Radar Toolkit (PyART, Helmus et al., 2016), we applied the Z-PHI method (Testud et al., 2000) to adjust horizontal reflectivity (Zh) values for attenuation resulting from intense rainfall. Subsequently, the corrected differential reflectivity was recalculated using the attenuation-corrected Zh. To calculate the Specific Differential Phase (KDP), the differential phase (PHIDP) values underwent preprocessing steps including despeckling, unfolding, and smoothing. The temperature profiles essential for the HID classification were extrapolated from the nearest radiosonde data, both temporally and spatially. The algorithm was then applied to 143 events distributed across central and northern Argentina, and its probability of detection was evaluated against in-situ SAMHI hail reports. Additionally, events were classified into four convective modes based on cell organization and estimated maximum hail diameter. In summary, the HID exhibited a high probability of detection (around 70%), the predominant convective mode was multicellular (over 70% of cases), and the predominant hail category was Non-Severe, with a maximum diameter below 2 cm. Finally, of all the events analyzed, there are four case studies where in addition to the methodology described above, the HID was run using data from two radars operating at different frequencies but covering the same area: the RMA5: Bernardo de Irigoyen radar located in Argentina (C-band) and the Cascavel radar located in Brazil (S-band). Information provided by the agent in SIGEVAKey Words
hidsevere weatherhailradar