Skip to main content
  • English
  • Español
  • Français

United
Nations

 

Office for Outer Space Affairs
UN-SPIDER Knowledge Portal

  • Inicio
  • Sobre nosotros
    • Sobre ONU-SPIDER
    • Acerca de UNOOSA
    • Publicaciones
    • Ofertas de trabajo
    • Conozca el Equipo
    • Contacto
  • Aplicación Espacial
    • Guías Tecnológicas
    • Mecanismos de Emergencia
    • Mecanismos de Recuperación
    • Red Internacional de Alerta de Asteroides
    • Grupo Asesor para la Planificación de Misiones Espaciales
    • Iniciativa Internacional sobre Meteorología Espacial
    • Tecnologías Espaciales en la ONU
    • Historias de Usuarios
  • Enlaces y Recursos
    • Aplicación de datos del mes
      • Disaster Recovery
    • Fuentes de Datos
    • SIG y Software de Percepción Remota
    • Recursos de capacitación en línea
    • Instituciones
  • Riesgos y Desastres
    • Gestión del Riesgo de Desastres
    • Alerta temprana
    • Gestión de Desastres y Emergencias
    • Amenazas Naturales
    • El Proceso de la Reducción de Desastres Post-2015
    • La ONU y la Gestión del Riesgo de Desastres
    • La ONU y Alerta Temprana
    • La ONU y la Gestión de Desastres
  • Asesoría
    • Misiones de Asesoría
    • Apoyo en caso de Emergencia
    • Asesoría Virtual
    • Prácticas Recomendadas
    • Actividades de Entrenamiento
    • Usos Prácticos
  • Redes
    • Oficinas Regionales de Apoyo
    • GP-STAR
    • IN-MHEWS
    • IWG-SEM
  • Proyectos
    • SPEAR
    • FOSAT-S
    • EvIDENz
    • Flood GUIDE
  • Noticias y Eventos
    • Noticias
    • Eventos
    • Eventos pasados
  • Admin
    • SAM Items

Breadcrumb

  • Home
  • 2020 Antarctic Ozone Hole Monitoring With Sentinel-5P Data Using Python
  • 2020 Antarctic Ozone Hole Monitoring with Sentinel-5P Data Using Python

2020 Antarctic Ozone Hole Monitoring with Sentinel-5P Data Using Python

Banner for the Ozone Hole Monitoring Training. Image: Copernicus RUSBanner for the Ozone Hole Monitoring Training. Image: Copernicus RUS

Copernicus Reseach and User Support (RUS)

RUS Copernicus organises a full day hands-on training session focussing on the processing of Sentinel-5P data to monitor atmospheric ozone layer above Antarctica.

Sentinel-5P was launched in October 2017 to screen the Earth’s atmosphere and quantify different pollutants (O3, CO, NO2, SO2, aerosols…) with a great accuracy and spatial resolution. It also provides measurement continuity with precedent and ongoing atmospheric spatial missions. The recorded data are free of use and present a great interest to globally monitor the ozone layer, air quality, greenhouse gas emissions and detect and assess the impact of polluting events.

After a detailed introduction on the Sentinel-5P mission and associated products, you will manipulate Sentinel-5P data to study the outstanding 2020 Antarctic ozone hole and validate your results against the Copernicus Atmospheric Monitoring Service (CAMS) ozone global analysis products. Python and the Atmospheric Toolbox on the Jupyter Notebook environment will be used throughout the workshop.

Attendance to this remote training session is free but requires registration before 16 April 2021.

Event Format

This event will take place Thursday, 29th of April 2021 between 10:00 and 17:00 CEST. For more information and registration click here.

Thu, 29 Apr 2021
Fri 16 Apr 2021
2020 Antarctic Ozone Hole Monitoring with Sentinel-5P Data Using Python

RUS Copernicus organises a full day hands-on training session focussing on the processing of Sentinel-5P data to monitor atmospheric ozone layer above Antarctica.

Sentinel-5P was launched in October 2017 to screen the Earth’s atmosphere and quantify different pollutants (O3, CO, NO2, SO2, aerosols…) with a great accuracy and spatial resolution. It also provides measurement continuity with precedent and ongoing atmospheric spatial missions. The recorded data are free of use and present a great interest to globally monitor the ozone layer, air quality, greenhouse gas emissions and detect and assess the impact of polluting events.

After a detailed introduction on the Sentinel-5P mission and associated products, you will manipulate Sentinel-5P data to study the outstanding 2020 Antarctic ozone hole and validate your results against the Copernicus Atmospheric Monitoring Service (CAMS) ozone global analysis products. Python and the Atmospheric Toolbox on the Jupyter Notebook environment will be used throughout the workshop.

Attendance to this remote training session is free but requires registration before 16 April 2021.

Event Format

This event will take place Thursday, 29th of April 2021 between 10:00 and 17:00 CEST. For more information and registration click here.

English
web-based
  • Sentinel-5P
  • Python

Footer menu

  • Contact
  • Terms of Use

User account menu

  • Log in