NASA Atmospheric Composition Ground Networks Supporting Air Quality and Climate Applications
In this five-part, online, intermediate-level training, multiple NASA networks will participate and provide training on their atmospheric composition ground networks. These networks provide data relevant to aerosol and trace gas column concentrations and vertical structure, supporting applications in air quality and climate. Surface networks from NASA and other international contributions form the backbone of long-term atmospheric composition observations globally and provide continuity and validation across typically shorter satellite mission lifetimes. This online training will provide a basic understanding of aerosol and trace gas measurements using both active and passive techniques for ground based remote sensing. It will also teach users how to select, access, and incorporate relevant data from these ground networks into their work. Finally, it will demonstrate an application comparing ground-based and satellite remote sensing products. The training will include lectures, hands-on exercises, and a homework assignment.
Learning Objectives:
By the end of this training attendees will be able to:
Time: 11:00-12:30 EDT (UTC-4)
To Register: https://go.nasa.gov/4aZmoB2
Audience: This training is primarily intended for Air Quality or Climate Application & Research Scientists and Researchers at Environmental Agencies.
Relevant UN Sustainable Development Goals:
In this five-part, online, intermediate-level training, multiple NASA networks will participate and provide training on their atmospheric composition ground networks. These networks provide data relevant to aerosol and trace gas column concentrations and vertical structure, supporting applications in air quality and climate. Surface networks from NASA and other international contributions form the backbone of long-term atmospheric composition observations globally and provide continuity and validation across typically shorter satellite mission lifetimes. This online training will provide a basic understanding of aerosol and trace gas measurements using both active and passive techniques for ground based remote sensing. It will also teach users how to select, access, and incorporate relevant data from these ground networks into their work. Finally, it will demonstrate an application comparing ground-based and satellite remote sensing products. The training will include lectures, hands-on exercises, and a homework assignment.
Learning Objectives:
By the end of this training attendees will be able to:
- Identify the basic characteristics, capabilities, and limitations of the NASA instruments used for ground-based active and passive remote sensing of aerosols, ozone, and NO2.
- Recognize how the ground networks presented in the training sustain global long-term observations, support air quality and climate applications, and complement satellite observations.
- Access relevant atmospheric composition data from appropriate NASA ground networks for given locations and application purposes.
- Compare and jointly analyze specific ground-based atmospheric composition data products with relevant satellite remote sensing data (e.g., satellite aerosol data products) for a given location and time.
Time: 11:00-12:30 EDT (UTC-4)
To Register: https://go.nasa.gov/4aZmoB2
Audience: This training is primarily intended for Air Quality or Climate Application & Research Scientists and Researchers at Environmental Agencies.
Relevant UN Sustainable Development Goals:
- Goal 3: Ensure healthy lives and promote well-being for all at all ages
- Target 3.9: By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
- Goal 11: Make cities and human settlements inclusive, safe, resilient and sustainable
- Target 11.6: By 2030, reduce the adverse per capita environmental impact of cities, including by paying special attention to air quality and municipal and other waste management
Statistics: Posted by ARSET - sarah.cutshall — Tue Jun 25, 2024 1:22 pm America/New_York