Published April 11, 2023 | Version v1
Dataset Open

Data used for global TEC forecasting for space weather application based on deep learning techniques: a comparative study and considerations for real-time implementation

Authors/Creators

  • 1. Tucumán Space Weather Center (TSWC), Facultad de Ciencias Exactas. y Tecnología (FACET), Universidad Nacional de Tucumán (UNT). Laboratorio de Computación Científica (LabCC), Dpto de Cs de la Computación, FACET, UNT. Consejo Nacional de Investigaciones científicas, CONICET. Istituto Nazionale di Geofisica e Vulcanologia (INGV).
  • 2. Tucumán Space Weather Center (TSWC), Facultad de Ciencias Exactas y Tecnología (FACET), Universidad Nacional de Tucumán (UNT). Laboratorio de Computación Científica (LabCC), Dpto de Cs de la Computación, FACET, UNT.
  • 3. Istituto Nazionale di Geofisica e Vulcanologia (INGV)
  • 4. Istituto Nazionale di Geofisica e Vulcanologia (INGV). SpacEarth Technology.
  • 5. Tucumán Space Weather Center (TSWC), Facultad de Ciencias Exactas y Tecnología (FACET), Universidad Nacional de Tucumán (UNT). Laboratorio de Computación Científica (LabCC), Dpto de Cs de la Computación, FACET, UNT. Consejo Nacional de Investigaciones científicas, CONICET.
  • 6. Istituto Nazionale di Geofisica e Vulcanologia (INGV). SpacEarth Technology. University of Salento.

Description

This dataset contains the measurements of TEC from Global Ionospheric Maps (GIMs), provided by the International GNSS Service (IGS), as the target parameter and the global geomagnetic Kp index as the external input. This data set is composed of samples from 2005 to 2017. The datasets have been curated to obtain the same resolution (2 hs) of the two parameters.

Files

tec_and_kp_data.zip

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