A new methodology for inferring surface ozone from multispectral satellite measurements
Over the past two decades, satellite instruments have provided unprecedented information on global air quality, and yet the remote sensing of surface ozone remains elusive. Here we propose a new method to infer spatial variability in surface ozone by combining multispectral ozone retrievals using ra...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2021-01-01
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| Series: | Environmental Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1748-9326/ac243d |
| _version_ | 1797747526214877184 |
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| author | Nadia Colombi Kazuyuki Miyazaki Kevin W Bowman Jessica L Neu Daniel J Jacob |
| author_facet | Nadia Colombi Kazuyuki Miyazaki Kevin W Bowman Jessica L Neu Daniel J Jacob |
| author_sort | Nadia Colombi |
| collection | DOAJ |
| description | Over the past two decades, satellite instruments have provided unprecedented information on global air quality, and yet the remote sensing of surface ozone remains elusive. Here we propose a new method to infer spatial variability in surface ozone by combining multispectral ozone retrievals using radiances from the tropospheric emission spectrometer thermal infrared instrument and the ozone monitoring instrument ultratraviolet/visible instrument with a chemical reanalysis. We find that our inferred surface ozone in summertime China and the United States has regional biases of less than 4 ppb and a high spatial correlation when validated against independent surface measurements. Over the broader Asia region, our analysis results in a spatial pattern of summertime surface ozone that can largely be explained by a combination of the Asian monsoon circulation and ${\textrm{NO}}_x$ emissions. Our results show the potential of combining satellite measurements and chemical reanalyses to provide critical air quality information in regions of limited surface networks, thereby enhancing the global air quality observing system. |
| first_indexed | 2024-03-12T15:51:50Z |
| format | Article |
| id | doaj.art-67014989d3684810bc648892ff0e5467 |
| institution | Directory Open Access Journal |
| issn | 1748-9326 |
| language | English |
| last_indexed | 2024-03-12T15:51:50Z |
| publishDate | 2021-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Letters |
| spelling | doaj.art-67014989d3684810bc648892ff0e54672023-08-09T15:05:36ZengIOP PublishingEnvironmental Research Letters1748-93262021-01-01161010500510.1088/1748-9326/ac243dA new methodology for inferring surface ozone from multispectral satellite measurementsNadia Colombi0Kazuyuki Miyazaki1Kevin W Bowman2Jessica L Neu3Daniel J Jacob4Harvard University , Department of Earth and Planetary Sciences, Cambridge, MA, United States of AmericaJet Propulsion Laboratory, California Institute of Technology , Pasadena, CA, United States of AmericaJet Propulsion Laboratory, California Institute of Technology , Pasadena, CA, United States of AmericaJet Propulsion Laboratory, California Institute of Technology , Pasadena, CA, United States of AmericaHarvard University , Department of Earth and Planetary Sciences, Cambridge, MA, United States of AmericaOver the past two decades, satellite instruments have provided unprecedented information on global air quality, and yet the remote sensing of surface ozone remains elusive. Here we propose a new method to infer spatial variability in surface ozone by combining multispectral ozone retrievals using radiances from the tropospheric emission spectrometer thermal infrared instrument and the ozone monitoring instrument ultratraviolet/visible instrument with a chemical reanalysis. We find that our inferred surface ozone in summertime China and the United States has regional biases of less than 4 ppb and a high spatial correlation when validated against independent surface measurements. Over the broader Asia region, our analysis results in a spatial pattern of summertime surface ozone that can largely be explained by a combination of the Asian monsoon circulation and ${\textrm{NO}}_x$ emissions. Our results show the potential of combining satellite measurements and chemical reanalyses to provide critical air quality information in regions of limited surface networks, thereby enhancing the global air quality observing system.https://doi.org/10.1088/1748-9326/ac243dozoneair qualitysatelliteschemical reanalysis |
| spellingShingle | Nadia Colombi Kazuyuki Miyazaki Kevin W Bowman Jessica L Neu Daniel J Jacob A new methodology for inferring surface ozone from multispectral satellite measurements Environmental Research Letters ozone air quality satellites chemical reanalysis |
| title | A new methodology for inferring surface ozone from multispectral satellite measurements |
| title_full | A new methodology for inferring surface ozone from multispectral satellite measurements |
| title_fullStr | A new methodology for inferring surface ozone from multispectral satellite measurements |
| title_full_unstemmed | A new methodology for inferring surface ozone from multispectral satellite measurements |
| title_short | A new methodology for inferring surface ozone from multispectral satellite measurements |
| title_sort | new methodology for inferring surface ozone from multispectral satellite measurements |
| topic | ozone air quality satellites chemical reanalysis |
| url | https://doi.org/10.1088/1748-9326/ac243d |
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