Proposta Metodológica Para Identificação De Granizo No Interior De Nuvens Através De Sensoriamento Remoto Por Radar Meteorológico
Year: 2025
Type: article
Abstract: Destructive hailstorms associated with strong winds and high rainfall levels cause material, human, economic and environmental damage all over the world. Climate change tends to intensify these episodes and in future scenarios hailstorms will be increasingly destructive and consequently more damaging to the most vulnerable populations and local infrastructure. With this in mind, we sought to identify hail grains inside clouds using active remote sensing by weather radar. A case study was carried out for 2015 in the municipality of Rio Grande/RS, with the collection of accumulated hail values, in kilo-grams per square meter, from the Dual-frequency Precipitation Radar (DPR) of the Global Precipitation Measurement (GPM) satellite. Together with official documents proving that hail fell on the ground in the respective year. Kernel density was applied to understand the spatialization of the phenomenon within the boundaries of Rio Grande. It was concluded that the coverage of the product in pixels is superficial for analyzing the accumulation of hail in the area of the municipality. The highest concentrations of hail accumulation were identified in the far north of the municipality, correlated with the orographic transition of winds from the Camaquã/Pelotas mountains and the contribution of humidity and heat from the São Gonçalo channel and its lows.
Source: Boletim Gaúcho de Geografia
Institution: Universidade Federal do Rio Grande do Sul
Language: Portuguese
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
SDG: Climate action
Open Access status: diamond
OpenAlex ID: W7217062875