| NSF Org: |
AGS Division of Atmospheric and Geospace Sciences |
| Recipient: |
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| Initial Amendment Date: | February 16, 2022 |
| Latest Amendment Date: | February 16, 2022 |
| Award Number: | 2134617 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Sylvia Edgerton
sedgerto@nsf.gov (703)292-8522 AGS Division of Atmospheric and Geospace Sciences GEO Directorate for Geosciences |
| Start Date: | March 1, 2022 |
| End Date: | February 28, 2026 (Estimated) |
| Total Intended Award Amount: | $582,172.00 |
| Total Awarded Amount to Date: | $582,172.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
310 E CAMPUS RD RM 409 ATHENS GA US 30602-1589 (706)542-5939 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
310 East Campus Rd ATHENS GA US 30602-1589 |
| Primary Place of
Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): | Atmospheric Chemistry |
| Primary Program Source: |
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| Program Reference Code(s): | |
| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.050 |
ABSTRACT
This project will develop a tool using machine learning to classify ambient aerosols based on measured optical properties. Clustering methods will be used to identify samples with similar optical properties without having to make any a priori assumptions about their identities. The clusters will be used to create classification models that can differentiate aerosol types. The accurate optical classification of aerosols can help to improve climate models by providing constraints on how aerosols are treated in climate models.
The objectives of this project are to: (1) identify and define clusters of ambient aerosols with distinct optical properties; (2) build optical classification models based on observations and clusters from Objective 1; (3) translate optical classification models for use with low-cost sensors. Outreach activities include the use of low-cost sensors to help students at the middle school, undergraduate and graduate levels learn firsthand about aerosols in the atmosphere.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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