Estudio multiespectral de radiacion solar comprendido en el periodo 2003 – 2020 segun datos satelitales de SORCE y GOES
Archivos
Autores
Moreno Roballo, Nestor Ivan
Director
Calvo Mozo, Benjamin
Tipo de contenido
Trabajo de grado - Maestría
Idioma del documento
EspañolFecha de publicación
2023-11-29
Título de la revista
ISSN de la revista
Título del volumen
Documentos PDF
Resumen
Abstract
he present study was focused on the analysis of the solar radiation in a period from 2003
to 2020, using daily satellite data provided by SORCE (Solar Radiation and Climate Expe-
riment) in different bands and GOES (Geostationary Operational Environmental Satellite)
in X-rays; together with the records of the number of sunspots and class C, M and X events.
An analytical comparison is performed to understand the possible factors that produce the
variability of the solar cycle and another with the help of artificial intelligence more preci-
sely automatic learning with classification neural networks. The data were compiled with an
input data matrix of 24 × 6075 and labeled with respect to three binary outputs, A quiet Sun,
B Sun with moderate activity and C Sun with strong activity. The results obtained show a
correlation of 90.3 % agreement of all the data. The 48.1 % of the data have a behavior of
quiet Sun, 41.3 % present a moderate solar activity and 1.0 % sun with strong activity.
Palabras clave
Sol calmo, Sol activo, ciclo solar, manchas solares, fulguracion solar, Satelite GOES, Satelite SORCE, aprendizaje automatico, correlacion de datos. ; Sol calmo ; Sol activo ; Ciclo solar ; Manchas solares ; Fulguracion solar ; Satelite GOES ; Satelite SORCE ; Aprendizaje automatico ; Correlacion de datos
Descripción Física/Lógica/Digital
ilustraciones, diagramas