Atmospheric Composition Modeling and Analysis Program

Zhu, Q., et al. (2019), Lightning NO2 simulation over the contiguous US and its effects on satellite NO2 retrievals, Atmos. Chem. Phys., 19, 13067-13078, doi:10.5194/acp-19-13067-2019.

Li, K.-F., et al. (2016), Resolving a long-standing model-observation discrepancy on ozone solar cycle response, Earth and Space Science, 3, 431-440, doi:10.1002/2016EA000199.

Gassó, S., and O. Torres (2016), The role of cloud contamination, aerosol layer height and aerosol model in the assessment of the OMI near-UV retrievals over the ocean, Atmos. Meas. Tech., 9, 3031-3052, doi:10.5194/amt-9-3031-2016.

Jethva, H., et al. (2014), Global assessment of OMI aerosol single-scattering albedo using ground-based AERONET inversion, J. Geophys. Res., 119, doi:10.1002/2014JD021672.

Torres, O., et al. (2013), Improvements to the OMI near-UV aerosol algorithm using A-train CALIOP and AIRS observations, Atmos. Meas. Tech., 6, 3257-3270, doi:10.5194/amt-6-3257-2013.

Jethva, H., et al. (2013), A Color Ratio Method for Simultaneous Retrieval of Aerosol and Cloud Optical Thickness of Above-Cloud Absorbing Aerosols From Passive Sensors: Application to MODIS Measurements, IEEE Trans. Geosci. Remote Sens., 51, 3862-3870, doi:10.1109/TGRS.2012.2230008.

Torres, O., et al. (2012), Retrieval of Aerosol Optical Depth above Clouds from OMI Observations: Sensitivity Analysis and Case Studies, J. Atmos. Sci., 69, 1037-1053, doi:10.1175/JAS-D-11-0130.1.

Jethva, H., and O. Torres (2011), Satellite-based evidence of wavelength-dependent aerosol absorption in biomass burning smoke inferred from Ozone Monitoring Instrument, Atmos. Chem. Phys., 11, 10541-10551, doi:10.5194/acp-11-10541-2011.

Torres, O., et al. (2010), OMI and MODIS observations of the anomalous 2008–2009 Southern Hemisphere biomass burning seasons, Atmos. Chem. Phys., 10, 3505-3513, doi:10.5194/acp-10-3505-2010.