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Discussion papers
https://doi.org/10.5194/essd-2018-66
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2018-66
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  25 Jun 2018

25 Jun 2018

Review status
This discussion paper is a preprint. A revision of this manuscript was accepted for the journal Earth System Science Data (ESSD) and is expected to appear here in due course.

The Berkeley High Resolution Tropospheric NO2 Product

Joshua L. Laughner1, Qindan Zhu2, and Ronald C. Cohen1,2 Joshua L. Laughner et al.
  • 1Department of Chemistry, University of California, Berkeley, Berkeley, CA 94720
  • 2Department of Earth and Planetary Sciences, University of California, Berkeley, Berkeley, CA 94720

Abstract. We describe upgrades to the Berkeley High Resolution (BEHR) NO2 satellite retrieval product. BEHR v3.0 builds on the NASA version 3 standard Ozone Monitoring Instrument (OMI) tropospheric NO2 product to provide a high spatial resolution product that is consistent with daily variations in the 12km a priori NO2 profiles. Other improvements to the BEHR v3.0 product include surface reflectance and elevation, and factors affecting the NO2 a priori profiles such as lightning and anthropogenic emissions.

We describe the retrieval algorithm in detail and evaluate the impact of changes to the algorithm between v2.1C and v3.0B has on the retrieved NO2 vertical column densities (VCDs). Not surprisingly, we find that, on average, the changes to the a priori NO2 profiles and the update to the new NASA slant column densities have the greatest impact on the retrieved VCDs. More significantly, we find that using daily a priori profiles results in greater average VCDs than using monthly profiles in regions and times with significant lightning activity.

The BEHR product is available as four subproducts on the University of California DASH repository: using monthly a priori profiles at native OMI pixel resolution (https://doi.org/10.6078/D1N086) and regridded to 0.05° × 0.05° (https://doi.org/10.6078/D1RQ3G) and using daily a priori profiles at native OMI ( https://doi.org/10.6078/D1WH41) and regridded (https: //doi.org/10.6078/D12D5X) resolutions.

Joshua L. Laughner et al.
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Joshua L. Laughner et al.
Data sets

Berkeley High Resolution (BEHR) OMI NO2 - Gridded pixels, daily profiles, v3, UC Berkeley Dash, Dataset J. Laughner, Q. Zhu, and R. Cohen https://doi.org/10.6078/D12D5X

Berkeley High Resolution (BEHR) OMI NO2 - Native pixels, daily profiles, UC Berkeley Dash, Dataset J. Laughner, Q. Zhu, and R. Cohen https://doi.org/10.6078/D1WH41

Berkeley High Resolution (BEHR) OMI NO2 - Gridded pixels, monthly profiles, UC Berkeley Dash, Dataset J. Laughner, Q. Zhu, and R. Cohen https://doi.org/10.6078/D1RQ3G

Berkeley High Resolution (BEHR) OMI NO2 - Native pixels, monthly profiles, UC Berkeley Dash, Dataset J. Laughner, Q. Zhu, and R. Cohen https://doi.org/10.6078/D1N086

Model code and software

ESSD Discussion - Supporting Code J. Laughner and Q. Zhu https://doi.org/10.5281/zenodo.1247564

CohenBerkeleyLab/BEHR-Core: BEHR Core code J. Laughner and Q. Zhu https://doi.org/10.5281/zenodo.998275

Joshua L. Laughner et al.
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Short summary
This paper describes the upgrade of the BErkeley High Resolution (BEHR) NO2 retrieval from version 2.1C to 3.0B. This retrieval measures NO2 over the continental US using input data at higher spatial and temporal resolution than global retrievals. We analyze how each part of the upgrade affected the measured NO2. Most interestingly, we find that using NO2 profiles at daily (rather than monthly) time resolution does lead to differences in multi-month averages for regions affected by lightning.
This paper describes the upgrade of the BErkeley High Resolution (BEHR) NO2 retrieval from...
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