Articles | Volume 10, issue 11
Atmos. Meas. Tech., 10, 4403–4419, 2017
https://doi.org/10.5194/amt-10-4403-2017
Atmos. Meas. Tech., 10, 4403–4419, 2017
https://doi.org/10.5194/amt-10-4403-2017

Research article 17 Nov 2017

Research article | 17 Nov 2017

Quantification of the effect of modeled lightning NO2 on UV–visible air mass factors

Joshua L. Laughner and Ronald C. Cohen

Data sets

Demonstration retrievals from "Quantification of the effect of modeled lightning NO2 on UV-visible air mass factors" Joshua L. Laughner and Ronald C. Cohen https://doi.org/10.6078/D19S9D

MODIS/Aqua Clouds 5-Min L2 Swath 1 km and 5 km, NASA MODIS Adaptive Processing System S. Platnick, M. King, G. Wind, S. Ackerman, P. Menzel, and R. Frey https://doi.org/10.5067/MODIS/MYD06_L2.006

MCD43C3 MODIS/Terra+Aqua BRDF/Albedo Albedo Daily L3 Global 0.05Deg CMG V006 C. Schaaf and Z. Wang https://doi.org/10.5067/MODIS/MCD43C3.006

OMNO2: OMI/Aura Nitrogen Dioxide (NO2) Total and Tropospheric Column 1-orbit L2 Swath 13x24 km V003 N. A. Krotkov and P. Veefkind https://doi.org/10.5067/Aura/OMI/DATA2017

Model code and software

Analysis code and intermediate data for “Quantification of the effect of modeled lightning NO2 on UV-visible air mass factors” Joshua L. Laughner https://doi.org/10.5281/zenodo.1001803

AutoWRFChem-Base v0.1.0: Automation for the WRF-Chem model Joshua L. Laughner https://doi.org/10.5281/zenodo.834798

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Short summary
NO2 (a gas that plays an important role in air quality) can be measured by satellite-based instruments. These measurements require a best guess of the vertical distribution of NO2 and are very sensitive to the changes in that distribution near the top of the troposphere (~ 12 km). NO2 concentrations at this altitude are strongly influenced by lightning; therefore, we study how different representations of lightning in models that provide that best guess affect the NO2 measured by satellites.