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Analysis of simultaneous aerosol and ocean glint retrieval using multi-angle observationsSince early 2000, NASA's Multi-angle Imaging SpectroRadiometer (MISR) instrument has been performing remote sensing retrievals of aerosol optical properties from the polar-orbiting Terra spacecraft. A noteworthy aspect of MISR observations over the ocean is that, for much of the Earth, some of the multi-angle views have contributions from solar reflection by the ocean surface (glint, or glitter), while others do not. Aerosol retrieval algorithms often discard these glint-influenced observations because they can overwhelm the signal and are difficult to predict without knowledge of the (wind-speed-driven) ocean surface roughness. However, theoretical studies have shown that multi-angle observations of a location at geometries with and without reflected sun glint can be a rich source of information, sufficient to support simultaneous retrieval of both the aerosol state and the wind speed at the ocean surface. We are in the early stages of creating such an algorithm. In this paper, we describe our assessment of the appropriate level of parameterization for simultaneous aerosol and ocean surface property retrievals using sun glint. For this purpose, we use generalized nonlinear retrieval analysis (GENRA), an information content assessment (ICA) technique employing Bayesian inference, and simulations from the Ahmad–Fraser iterative radiative transfer code.

We find that four parameters are suitable: aerosol optical depth (τ), particle size distribution (expressed as the fine mode fraction f of small particles in a bimodal size distribution), surface wind speed (w), and relative humidity (r, to define the aerosol water content and complex refractive index). None of these parameters define ocean optical properties, as we found that the aerosol state could be retrieved with the nine MISR near-infrared views alone, where the ocean body is strongly absorbing in the open ocean. We also found that retrieval capability varies with observation geometry and that as τ increases so does the ability to determine aerosol intensive optical properties (r and f, while it decreases for w). Increases in w decrease the ability to determine the true value of that parameter but have minimal impact on retrieval of aerosol properties. We explored the benefit of excluding the two most extreme MISR view angles for which radiative transfer with the plane-parallel approximation is less certain, but we found no advantage in doing so. Finally, the impact of treating wind speed as a scalar parameter, rather than as a two-parameter directional wind, was tested. While the simpler scalar model does contribute to overall aerosol uncertainty, it is not sufficiently large to justify the addition of another dimension to parameter space.

An algorithm designed upon these principles is in development. It will be used to perform an atmospheric correction with MISR for coincident ocean color (OC) observations by the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument, also on the NASA Terra spacecraft. Unlike MISR, MODIS is a single-view-angle instrument, but it has a more complete set of spectral channels ideal for determination of optical ocean properties. The atmospheric correction of MODIS OC data can therefore benefit from MISR aerosol retrievals. Furthermore, higher-spatial-resolution data from coincident MISR observations may also improve glint screening.
Document ID
20210015019
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Kirk Knobelspiesse ORCID
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Amir Ibrahim ORCID
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Bryan Franz
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Sean Bailey ORCID
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Robert Levy ORCID
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Ziauddin Ahmad
(Science Applications International Corporation (United States) McLean, Virginia, United States)
Joel Gales
(Science Applications International Corporation (United States) McLean, Virginia, United States)
Meng Gao
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Michael Garay
(Jet Propulsion Lab La Cañada Flintridge, California, United States)
Samuel Anderson
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Olga Kalashnikova
(Jet Propulsion Lab La Cañada Flintridge, California, United States)
Date Acquired
May 3, 2021
Publication Date
May 3, 2021
Publication Information
Publication: Atmospheric Measurement Techniques
Publisher: European Geosciences Union / Copernicus Publications
Volume: 14
Issue: 5
Issue Publication Date: May 1, 2021
ISSN: 1867-1381
e-ISSN: 1867-8548
URL: https://amt.copernicus.org/articles/14/3233/2021/amt-14-3233-2021.html
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
WBS: 437949.02.01.02.88
CONTRACT_GRANT: NNH17ZDA001N-TASNPP
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
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