Selecting and Classifying CALIPSO Data Elements for Future Use

Earthzine2015 Spring VPS, Analyzing Air Quality and Habitat Health, DEVELOP Virtual Poster Session

Category: Analyzing Air Quality and Habitat Health

Project Team: US Health and Air Quality

Team Location: NASA Langley Research Center ‰ÛÒ Hampton, Virginia

The updated GUI for the CALIPSO Visualization tool in action. Image Credit: US Health and Air Quality Team

Authors:

Jordan Vaa

Ashna Aggarwal

Courtney Duquette

Mentors/Advisors:

Dr. Kenton Ross (NASA DEVELOP National Program)

Abstract:

The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) mission has been providing researchers with information about the global distribution of aerosols and clouds since 2006. Aboard the CALIPSO satellite is the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), which sends laser pulses of 532 nanometer (nm) and 1,064 nm into the Earth’s atmosphere. By measuring backscatter, researchers are able to map the distribution of aerosols (such as pollutants, dust, and smoke) and clouds. However, it remains difficult to track specific objects as they progress through the environment, especially as some types of aerosols are more difficult to identify than others. To solve this issue, the Langley DEVELOP team created a tool that will allow researchers to identify, select, and categorize aerosol objects. The objects are then exported to an easily accessible database. This method will allow researchers to follow key objects as they move through time and space. The CALIPSO science team will use this tool to identify smoke plumes and explore their compositions. The composition of smoke plumes varies significantly depending on the fuel type. Monitoring how these compositions change with time will help researchers understand the impact of smoke on air quality downstream of a source fire.

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