Procesamiento y visualización de datos Ionosféricos históricos (1957-1987) con herramientas modernas de análisis
Date
2024-12-11
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Abstract
Este estudio analiza 31 años de datos históricos (1957-1987) de la ionosfera sobre Tucumán, Argentina,
recolectados mediante sondadores ionosféricos. Los datos incluyen mediciones horarias de la frecuencia crítica de la
capa F2 (foF2), influenciada por ciclos solares y eventos geomagnéticos. Se identificaron patrones claros de aumento
en foF2 durante los picos de actividad solar y una disminución en periodos de baja actividad. Además, se analizaron
las clasificaciones por letras, revelando su utilidad para identificar estados específicos de la ionosfera.
La modernización del análisis combinó Power BI para la preparación y limpieza de datos, y Tableau para
visualización interactiva, permitiendo detectar periodos sin datos y correlaciones con la actividad solar. Este enfoque
no solo mejora la comprensión regional del impacto de la Anomalía Magnética del Atlántico Sur, sino que también
establece un modelo replicable para estudios de datos históricos con herramientas modernas.
This study examines 31 years of historical ionospheric data (1957-1987) over Tucumán, Argentina, collected using ionosondes. The dataset includes hourly measurements of the critical frequency of the F2 layer (foF2), influenced by solar cycles and geomagnetic events. Clear patterns were identified, with increased foF2 during solar activity peaks and decreases during low-activity periods. Additionally, letter-based classifications were analyzed, highlighting their utility in identifying specific ionospheric states. Modern analysis combined Power BI for data preparation and cleaning, and Tableau for interactive visualization, enabling the identification of data gaps and correlations with solar activity. This approach not only enhances the regional understanding of the South Atlantic Magnetic Anomaly's impact but also establishes a replicable model for historical data studies using modern tools.
This study examines 31 years of historical ionospheric data (1957-1987) over Tucumán, Argentina, collected using ionosondes. The dataset includes hourly measurements of the critical frequency of the F2 layer (foF2), influenced by solar cycles and geomagnetic events. Clear patterns were identified, with increased foF2 during solar activity peaks and decreases during low-activity periods. Additionally, letter-based classifications were analyzed, highlighting their utility in identifying specific ionospheric states. Modern analysis combined Power BI for data preparation and cleaning, and Tableau for interactive visualization, enabling the identification of data gaps and correlations with solar activity. This approach not only enhances the regional understanding of the South Atlantic Magnetic Anomaly's impact but also establishes a replicable model for historical data studies using modern tools.
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Procesamiento de Datos, Visualización
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