Buscar en Google Scholar
Título: Cuantificación de Lluvias usando el Radar Perfilador de Banda Ka MIRA 35C
Asesor(es): Mendoza Nieto, Eroncio
Campo OCDE: Research Subject Categories::TECHNOLOGY::Other technology::Environmental engineering
Fecha de publicación: 2018
Institución: Universidad Nacional José Faustino Sánchez Carrión
Resumen: Objective: In the present work, an algorithm for rainfall estimation is developed, based on clouds and precipitation radar profiler data, located on Laboratory of Atmospheric Microphysics and Radiation – LAMAR in Huancayo Observatory of Instituto Geofísico del Perú. Methods: The algorithm use Doppler spectra data (values of power and velocity) to calculate raindrop size distribution, and based on this several microphysical parameters are calculated. The estimated rainfall rate is assessed using rain gauge data from meteorological station for a period of five months. Results: The algorithm is able to give us information of drops size distribution, liquid water content, and rainfall rate. Underestimation of 12% with ±1.3 mm in hourly cumulates has been found, which are compensated in long-term periods. Conclusion: These results suggest that the technic is adequate for studies that involve rainfall quantification, such as satellite precipitation algorithms
Disciplina académico-profesional: Ingeniería Ambiental
Institución que otorga el grado o título: Universidad Nacional José Faustino Sánchez Carrión.Facultad de Ingeniería Agraria, Industrias Alimentarias y Ambiental
Grado o título: Ingeniero Ambiental
Fecha de registro: 8-mar-2019



Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons Creative Commons