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

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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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
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spelling doaj-9655f56b6823433b80444c05788850bc2021-04-13T06:20:18ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482021-04-01142857287110.5194/amt-14-2857-2021Explicit and consistent aerosol correction for visible wavelength satellite cloud and nitrogen dioxide retrievals based on optical properties from a global aerosol analysisA. Vasilkov0N. Krotkov1E.-S. Yang2L. Lamsal3J. Joiner4P. Castellanos5Z. Fasnacht6R. Spurr7Science System and Applications, Inc., Lanham, MD, USANASA Goddard Space Flight Center, Greenbelt, MD, USAScience System and Applications, Inc., Lanham, MD, USAUniversities Space Research Association, Columbia, MD, USANASA Goddard Space Flight Center, Greenbelt, MD, USANASA Goddard Space Flight Center, Greenbelt, MD, USAScience System and Applications, Inc., Lanham, MD, USART Solutions, Inc., Cambridge, MA, USA<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>https://amt.copernicus.org/articles/14/2857/2021/amt-14-2857-2021.pdf
collection DOAJ
language English
format Article
sources DOAJ
author A. Vasilkov
N. Krotkov
E.-S. Yang
L. Lamsal
J. Joiner
P. Castellanos
Z. Fasnacht
R. Spurr
spellingShingle A. Vasilkov
N. Krotkov
E.-S. Yang
L. Lamsal
J. Joiner
P. Castellanos
Z. Fasnacht
R. Spurr
Explicit and consistent aerosol correction for visible wavelength satellite cloud and nitrogen dioxide retrievals based on optical properties from a global aerosol analysis
Atmospheric Measurement Techniques
author_facet A. Vasilkov
N. Krotkov
E.-S. Yang
L. Lamsal
J. Joiner
P. Castellanos
Z. Fasnacht
R. Spurr
author_sort A. Vasilkov
title Explicit and consistent aerosol correction for visible wavelength satellite cloud and nitrogen dioxide retrievals based on optical properties from a global aerosol analysis
title_short Explicit and consistent aerosol correction for visible wavelength satellite cloud and nitrogen dioxide retrievals based on optical properties from a global aerosol analysis
title_full Explicit and consistent aerosol correction for visible wavelength satellite cloud and nitrogen dioxide retrievals based on optical properties from a global aerosol analysis
title_fullStr Explicit and consistent aerosol correction for visible wavelength satellite cloud and nitrogen dioxide retrievals based on optical properties from a global aerosol analysis
title_full_unstemmed Explicit and consistent aerosol correction for visible wavelength satellite cloud and nitrogen dioxide retrievals based on optical properties from a global aerosol analysis
title_sort explicit and consistent aerosol correction for visible wavelength satellite cloud and nitrogen dioxide retrievals based on optical properties from a global aerosol analysis
publisher Copernicus Publications
series Atmospheric Measurement Techniques
issn 1867-1381
1867-8548
publishDate 2021-04-01
description <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>
url https://amt.copernicus.org/articles/14/2857/2021/amt-14-2857-2021.pdf
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