Semestral Journal of Centro Argentino de Meteorólogos, which is published  since 1970 and serves on the Core of Argentine Scientific Journals since 2005. Meteorologica publishes original papers in the field of atmospheric sciences and oceanography.

Registration number of intellectual property: RL-2018-42420861-APN-DNDA#MJ

ISSN 1850-468X

Volume 45 N° 2 MORE NOTES FROM THIS ISSUE

ON THE USE OF LIGHTNING DATA AS A PROXY FOR RADAR REFLECTIVITY OVER THE CENTRAL REGION OF ARGENTINA

Mailén Gómez Mayol, Luciano Vidal, Paola Salio y Maximiliano Sacco

Servicio Meteorológico Nacional
Centro de Investigaciones del Mar y la Atmósfera, CONICET-UBA UMI3351-CNRS-CONICET-UBA
Departamento de Ciencias de la Atmósfera y los Océanos, FCEyN, UBA
Departamento de Física, FCEyN, UBA

Manuscript received on November 14th, 2018, on final form on March 1st, 2019.

ABSTRACT

Storms and their associated phenomena have a high impact in a country’s social and economic environment. It is necessary to have tools that guarantee the safety of people at all times. The data provided by a network of meteorological radars is of utmost importance for storm tracking and identification. These radar networks are expensive and difficult to maintain. Not all countries have a radar network that covers all its extension and even so, they often have technical or connectivity problems that leave large areas without information about rainfall. In this work we present a technique to generate a synthetic radar reflectivity field using supervised deep learning techniques with cloud-to-ground lightning data. This product can be used as a cost-effective radar alternative in areas where there is no or poor coverage, or as a complement to meteorological radar images that are affected by attenuation, interference or other observation problems.