DONATE

IAHR Document Library


« Back to Library Homepage « Proceedings of the 38th IAHR World Congress (Panama, 2019)

Comparative Analysis of Hydrometeorological Events in the Province of Córdoba, Argentina, Monitored by Remote Sensors (Aws, Meteorological Radar and Satellite)

Author(s): Alejo Testa Tacchino

Linked Author(s):

Keywords: Meteorological radar data; Satellite data; Automatic weather station; Data integration;

Abstract: This paper reports the monitoring of four events between 2015 and 2018, during which the evolution of the capacities available in the Hydro-Meteorological Observatory of the Province of Córdoba (Observatorio Hidro-Meteorológico de la Provincia de Córdoba, OHMC), both of sensors and of the quality of its estimators and products, can be appreciated. The reconstruction of hydrometeorological events, particularly the estimation of the precipitation rate from meteorological radar measurements, is a topic of interest for a wide range of hydrological applications. The Province of Córdoba is characterized by the occurrence of extreme events, such as convective storms that develop mainly during the summer and that are characterized by great spatial and temporal variability, with high intensity rain peaks. The complexity of these events justifies the integration of data from different types of sensors: surface hydrometeorological networks, weather radar data and satellite image information. This paper presents a summary of the analysis of relevant rainfall events recorded in the Province of Córdoba, Argentina, which have been monitored by the RMA1 radar installed recently in the city of Córdoba, belonging to the National System of Meteorological Radars (Sistema Nacional de Radares Meteorológicos, SINARAME), and simultaneously by surface weather stations, managed by different entities, and GOES16 satellite images. All gathered information is managed by OHMC.

DOI: https://doi.org/10.3850/38WC092019-1570

Year: 2019

Copyright © 2024 International Association for Hydro-Environment Engineering and Research. All rights reserved. | Terms and Conditions