Precipitation characterization using a disdrometer at the AlexanderVon Humbolt meteorological observatory

The objective of this study was to characterize the precipitation recorded at the Alexandervon Humboldt Meteorological Observatory (OVH), located at the La Molina National Agrarian University in Lima, Peru, using a Thies Clima laser disdrometer. The monitoring period was from June 2, 2021, to March...

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Detalhes bibliográficos
Autores: Vílchez Gutarra, Antonio, Vílchez Ybarra, Stephany Katherin María, Tafur Torres, José Ángel, Yoza Yoza, Luis Shuseki
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:Perú
Recursos:Universidad de San Martín de Porres
Repositorio:Revistas - Universidad de San Martín de Porres
Idioma:español
OAI Identifier:oai:revistas.usmp.edu.pe:article/3223
Acesso em linha:https://portalrevistas.aulavirtualusmp.pe/index.php/rc/article/view/3223
Access Level:acceso abierto
Palavra-chave:disdrometer, distribution of the number of drops, reflectivity, intensity of precipitation and pluviometer
disdrómetro; distribución de tamaño de gotas; reflectividad; intensidad de precipitación; comparación instrumental
Descrição
Resumo:The objective of this study was to characterize the precipitation recorded at the Alexandervon Humboldt Meteorological Observatory (OVH), located at the La Molina National Agrarian University in Lima, Peru, using a Thies Clima laser disdrometer. The monitoring period was from June 2, 2021, to March 20, 2022. Drop size distribution (DSD), terminalfall velocity, weighted mean diameter (Dm), and reflectivity (Z) were analyzed. The data obtained were compared with records from a Costa rain gauge and datafrom the Davis automatic weather station. During the winter of 2021, precipitation was classified as stratiform, with drop diameters between 0.188 and 1.125 mm. In the summer of 2022, events with droplets up to 2,750 mmwere recorded, associated with stratiform-convective and convective rainfall. The results show seasonal differences in precipitation microphysics, with implications for the calibration of weather radars.