Explicit and consistent aerosol correction for visible wavelength satellite cloud and nitrogen dioxide retrievals based on optical properties from a global aerosol analysis

<p>We discuss an explicit and consistent aerosol correction for cloud and <span class="inline-formula">NO<sub>2</sub></span> retrievals that are based on the mixed Lambertian-equivalent reflectivity (MLER) concept. We apply the approach to data from the Ozone...

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Bibliographic Details
Main Authors: A. Vasilkov, N. Krotkov, E.-S. Yang, L. Lamsal, J. Joiner, P. Castellanos, Z. Fasnacht, R. Spurr
Format: Article
Language:English
Published: Copernicus Publications 2021-04-01
Series:Atmospheric Measurement Techniques
Online Access:https://amt.copernicus.org/articles/14/2857/2021/amt-14-2857-2021.pdf
Description
Summary:<p>We discuss an explicit and consistent aerosol correction for cloud and <span class="inline-formula">NO<sub>2</sub></span> retrievals that are based on the mixed Lambertian-equivalent reflectivity (MLER) concept. We apply the approach to data from the Ozone Monitoring Instrument (OMI) for a case study over northeastern China. The cloud algorithm reports an effective cloud pressure, also known as cloud optical centroid pressure (OCP), from oxygen dimer (<span class="inline-formula">O<sub>2</sub>−O<sub>2</sub></span>) absorption at 477 nm after determining an effective cloud fraction (ECF) at 466 nm. The retrieved cloud products are then used as inputs to the standard OMI <span class="inline-formula">NO<sub>2</sub></span> algorithm. A geometry-dependent Lambertian-equivalent reflectivity (GLER), which is a proxy of surface bidirectional reflectance, is used for the ground reflectivity in our implementation of the MLER approach. The current standard OMI cloud and <span class="inline-formula">NO<sub>2</sub></span> algorithms implicitly account for aerosols by treating them as nonabsorbing particulate scatters within the cloud retrieval. To explicitly account for aerosol effects, we use a model of aerosol optical properties from a global aerosol assimilation system and radiative transfer computations. This approach allows us to account for aerosols within the OMI cloud and <span class="inline-formula">NO<sub>2</sub></span> algorithms with relatively small changes. We compare the OMI cloud and <span class="inline-formula">NO<sub>2</sub></span> retrievals with implicit and explicit aerosol corrections over our study area.</p>
ISSN:1867-1381
1867-8548