Articles | Volume 13, issue 10
https://doi.org/10.5194/amt-13-5319-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-5319-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Oct 2020
Research article |
| 09 Oct 2020
| 09 Oct 2020
Combining low-cost, surface-based aerosol monitors with size-resolved satellite data for air quality applications
Senseable City Lab, Massachusetts Institute of Technology,
Cambridge, MA, USA
Ralph A. Kahn
Earth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA
James A. Limbacher
Earth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA
Eloise A. Marais
School of Engineering and Applied Sciences, Harvard University,
Cambridge, MA, USA
now at: School of Physics and Astronomy, University of Leicester,
Leicester, UK
Fábio Duarte
Senseable City Lab, Massachusetts Institute of Technology,
Cambridge, MA, USA
Pontifícia Universidade Católica do Paraná, Curitiba, Brazil
Carlo Ratti
Senseable City Lab, Massachusetts Institute of Technology,
Cambridge, MA, USA
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Short summary
This paper presents a novel method to constrain the size distribution derived from low-cost optical particle counters (OPCs) using satellite data to develop higher-quality particulate matter (PM) estimates. Such estimates can enable cities that do not have access to expensive reference air quality monitors, especially those in the global south, to develop effective air quality management plans.
This paper presents a novel method to constrain the size distribution derived from low-cost...
