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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/amt-2019-260
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2019-260
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 22 Jul 2019

Submitted as: research article | 22 Jul 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Measurement Techniques (AMT).

A geometry-dependent surface Lambertian-equivalent reflectivity product for UV/Vis retrievals: Part II. Evaluation over open ocean

Zachary Fasnacht1, Alexander Vasilkov1, David Haffner1, Wenhan Qin1, Joanna Joiner2, Nickolay Krotkov2, Andrew M. Sayer3, and Robert Spurr4 Zachary Fasnacht et al.
  • 1Science Systems and Applications Inc., Lanham, MD, USA
  • 2NASA Goddard Space Flight Center, Greenbelt, MD, USA
  • 3GESTAR, Universities Space Research Association, Columbia, MD, USA
  • 4RT Solutions Inc., Cambridge, MA, USA

Abstract. Satellite-based cloud, aerosol, and trace gas retrievals from ultraviolet (UV) and visible (Vis) wavelengths depend on the accurate representation of surface reflectivity. Current UV and Vis retrieval algorithms typically use surface reflectivity climatologies that do not account for variation in satellite viewing geometry or surface roughness. The concept of geometry-dependent surface Lambertian-equivalent reflectivity (GLER) is implemented for water surfaces to account for surface anisotropy using a Case 1 water optical model and the Cox-Munk slope distribution for ocean surface roughness. GLER is compared with Lambertian-Equivalent reflectivity (LER) derived from the Ozone Monitoring Instrument (OMI) for clear scenes at 354, 388, 440, and 466 nm. We show that GLER compares well with the measured LER data over the open ocean and captures the directionality effects not accounted for in climatological LER databases. Small biases are seen when GLER and the OMI-derived LER are compared. GLER is biased low by up to 0.01–0.02 at Vis wavelengths, and biased high by around 0.01 in the UV, particularly at 354 nm. Our evaluation shows that GLER is an improvement upon climatological LER databases as it compares well with OMI measurements, and captures the directionality effects of surface reflectance.

Zachary Fasnacht et al.
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Status: open (until 16 Sep 2019)
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Zachary Fasnacht et al.
Data sets

OMI/Aura Level 1B VIS Global Geolocated Earth Shine Radiances M. Dobber https://doi.org/10.5067/Aura/OMI/DATA1004

OMI/Aura Global Ground Pixel Corners T. P. Kurosu, and E. A. Celarier https://doi.org/10.5067/Aura/OMI/DATA2020

OMI/Aura Nitrogen Dioxide (NO2) Total and Tropospheric Column N. A. Krotkov, L. N. Lamsal, S. V. Marchenko, E. A. Celarier, E. J. Bucsela, W. H. Swartz, and P. Veefkind https://doi.org/10.5067/Aura/OMI/DATA2017

Zachary Fasnacht et al.
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Short summary
The anisotropy of Earth's surface reflection plays an important role in satellite-based retrievals of cloud, aerosol, and trace gases. Most current ultraviolet and visible satellite retrievals utilize climatological surface reflectivity databases that do not account for surface anisotropy. The GLER concept was introduced to account for such features. Here we evaluate GLER for water surfaces by comparing with OMI measurements and show that it captures these surface anisotropy features.
The anisotropy of Earth's surface reflection plays an important role in satellite-based...
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