Towards a satellite formaldehyde – in situ hybrid estimate for organic aerosol abundance

Liao, Jin; Hanisco, Thomas F.; Wolfe, Glenn M.; St. Clair, Jason; Jimenez, Jose L.; Campuzano-Jost, Pedro; Nault, Benjamin A.; Fried, Alan; Marais, Eloise A.; Gonzalez Abad, Gonzalo; Chance, Kelly; Jethva, Hiren T.; Ryerson, Thomas B.; Warneke, Carsten; Wisthaler, Armin

doi:https://doi.org/10.5194/acp-19-2765-2019

Articles | Volume 19, issue 5

https://doi.org/10.5194/acp-19-2765-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-19-2765-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 5

Research article

|

04 Mar 2019

Research article |

| 04 Mar 2019

Towards a satellite formaldehyde – in situ hybrid estimate for organic aerosol abundance

Jin Liao, Thomas F. Hanisco, Glenn M. Wolfe, Jason St. Clair, Jose L. Jimenez, Pedro Campuzano-Jost, Benjamin A. Nault, Alan Fried, Eloise A. Marais, Gonzalo Gonzalez Abad, Kelly Chance, Hiren T. Jethva, Thomas B. Ryerson, Carsten Warneke, and Armin Wisthaler

Supplement

https://doi.org/10.5194/acp-19-2765-2019-supplement

Data sets

CalNex NOAA P3 aircraft data archive CalNex Science Team https://esrl.noaa.gov/csd/groups/csd7/measurements/2010calnex/P3/DataDownload/

DC3 NASA DC8 aircraft data achive DC3 science team https://doi.org/10.5067/Aircraft/DC3/DC8/Aerosol-TraceGas

OMI/Aura NO2 Cloud-Screened Total and Tropospheric Column L3 Global Gridded 0.25 degree x 0.25 degree V3, NASA Goddard Space Flight Center N. A. Krotkov https://doi.org/10.5067/Aura/OMI/DATA3007

SEAC4RS NASA DC8 aircraft data archive SEAC4RS Science Team https://doi.org/10.5067/Aircraft/SEAC4RS/Aerosol-TraceGas-Cloud

MODIS Atmosphere L2 Aerosol Product R. Levy and C. Hsu https://doi.org/10.5067/MODIS/MYD04_L2.061

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Short summary

Organic aerosol (OA) intimately links natural and anthropogenic emissions with air quality and climate. Direct OA measurements from space are currently not possible. This paper describes a new method to estimate OA by combining satellite HCHO and in situ OA and HCHO. The OA estimate is validated with the ground network. This new method has a potential for mapping observation-based global OA estimate.