Articles | Volume 17, issue 18
https://doi.org/10.5194/acp-17-11403-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-11403-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
26 Sep 2017
Research article |
| 26 Sep 2017
A high-resolution and observationally constrained OMI NO2 satellite retrieval
Energy Systems Division, Argonne National Laboratory, Argonne, IL 60439, USA
Computation Institute, University of Chicago, Chicago, IL 60637, USA
Lok N. Lamsal
Goddard Earth Sciences Technology and Research, Universities Space Research Association, Columbia, MD 21046, USA
NASA Goddard Space Flight Center, Code 614, Greenbelt, MD 20771, USA
Christopher P. Loughner
NOAA Air Resources Laboratory, College Park, MD 20740, USA
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA
William H. Swartz
NASA Goddard Space Flight Center, Code 614, Greenbelt, MD 20771, USA
Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
Zifeng Lu
Energy Systems Division, Argonne National Laboratory, Argonne, IL 60439, USA
Computation Institute, University of Chicago, Chicago, IL 60637, USA
David G. Streets
Energy Systems Division, Argonne National Laboratory, Argonne, IL 60439, USA
Computation Institute, University of Chicago, Chicago, IL 60637, USA
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- Assessment of NO<sub>2</sub> observations during DISCOVER-AQ and KORUS-AQ field campaigns S. Choi et al. 10.5194/amt-13-2523-2020
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- Retrieval of total column and surface NO<sub>2</sub> from Pandora zenith-sky measurements X. Zhao et al. 10.5194/acp-19-10619-2019
- First top-down diurnal adjustment to NOx emissions inventory in Asia informed by the Geostationary Environment Monitoring Spectrometer (GEMS) tropospheric NO2 columns J. Park et al. 10.1038/s41598-024-76223-1
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- Sensitivity analysis of NO2 differential slant column density according to spatial resolution using GCAS data from the SIJAQ 2022 campaign S. Lee et al. 10.1016/j.atmosenv.2024.120723
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1 citations as recorded by crossref.
Latest update: 14 Dec 2024
Short summary
We developed a new satellite NO2 product using a high spatial resolution (1.33 × 1.33 km) model simulation constrained by aircraft observations. The high-resolution satellite product is now able to observe the spatial heterogeneities of NO2 pollution over a large area with more clarity. The satellite is now in better agreement with monitors at ground level observing the same pollution.
We developed a new satellite NO2 product using a high spatial resolution (1.33 × 1.33 km)...
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