Browsing by Author "Prado, Josep J."
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Item Open Access Dataset on the first weather radar campaign over Lima, Perú(Elsevier, 2021-04) Valdivia Prado, Jairo Michael; Scipión, Danny; Milla, Marco; Prado, Josep J.; Espinoza, Juan C.; Cordova, Darwin; Saavedra Huanca, Miguel; Villalobos Puma, Elver Edmundo; Callañaupa Gutierrez, Stephany Magaly; Silva Vidal, YaminaThe first weather radar campaign over Lima, the capital of Peru, a desertic area on the western side of the Peruvian Andes, was carried out to study the occurrence of rain events in summer 2018. The weather radar was installed strategically and was able to overlook three river basins: Rimac, Chillón, and Lurin. An X-band radar (PX-1000) was used, which operates at 9.55 GHz. PX-1000 was built by the Advanced Radar Research Center (ARRC) at the University of Oklahoma (U.S.A.). The radar operated from January 26th to April 1st, 2018, at Cerro Suche located 2910 m ASL and 55 km from the city of Lima. The PX-1000 performed plan-position indicators (PPI) for elevations starting at 0° up to 20°. The data presented here were obtained using a three-dimensional constant-altitude plan position-indicator (3D CAPPI), which was generated by high resolution (250 m) nearest point algorithm.Item Open Access Hailstorm events in the Central Andes of Peru: insights from historical data and radar microphysics(European Geosciences Union, 2024-04-18) Valdivia Prado, Jairo Michael; Flores-Rojas, José Luis; Prado, Josep J.; Guizado, David; Villalobos-Puma, Elver; Callañaupa, Stephany; Silva Vidal, YaminaHailstorms, while fascinating from a meteorological perspective, pose significant risks to communities, agriculture, and infrastructure. In regions such as the Central Andes of Peru, the characteristics and frequency of these extreme weather events remain largely uncharted. This study fills this gap by investigating the historical frequency and vertical structure of hailstorms in this region. We analyzed historical hailstorm records dating back to 1958 alongside 4 years of observations (2017–2021) from the Parsivel2 disdrometer and a cloud-profiling radar MIRA35c. Our findings indicate a trend of decreasing hail frequency (−0.5 events per decade). However, the p value of 0.07 suggests the need for further investigation, particularly in relation to environmental changes and reporting methods. The results show that hailstorms predominantly occur during the austral summer months, with peak frequency in December, and are most common during the afternoon and early evening hours. The analysis of radar variables such as reflectivity, radial velocity, spectral width, and linear depolarization ratio (LDR) reveals distinct vertical profiles for hail events. Two case studies highlight the diversity in the radar measurements of hailstorms, underscoring the complexity of accurate hail detection. This study suggests the need for refining the Parsivel2 algorithm and further understanding its classification of hydrometeors. Additionally, the limitations of conventional radar variables for hail detection are discussed, recommending the use of LDR and Doppler spectrum analysis for future research. Our findings lay the groundwork for the development of more efficient hail detection algorithms and improved understanding of hailstorms in the Central Andes of Peru.