Dense networks for constraining urban emissions: Examples of dramatic and subtle changes during 2020
Abstract
Dense urban observing networks offer the promise of constraining emissions of CO2, NOx, CO and aerosol precursors with exceptional detail. Observations from the BEACO2N network in the SF Bay Area before and after the reaction to the COVID-19 pandemic provide an example of the possibilities including characterizing CO2 emissions for each day of week, evaluating differences between urban emissions during the day and the night and attributing emissions to individual source sectors with high fidelity. Examples from our team's analysis and prospects for further extension to other cities and other chemicals will be described.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2020
- Bibcode:
- 2020AGUFMA081...04C
- Keywords:
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- 0305 Aerosols and particles;
- ATMOSPHERIC COMPOSITION AND STRUCTURE;
- 0345 Pollution: urban and regional;
- ATMOSPHERIC COMPOSITION AND STRUCTURE;
- 0365 Troposphere: composition and chemistry;
- ATMOSPHERIC COMPOSITION AND STRUCTURE;
- 3360 Remote sensing;
- ATMOSPHERIC PROCESSES