Articles | Volume 12, issue 7
https://doi.org/10.5194/amt-12-3997-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-3997-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Jul 2019
Research article |
| 19 Jul 2019
| 19 Jul 2019
A geometry-dependent surface Lambertian-equivalent reflectivity product for UV–Vis retrievals – Part 1: Evaluation over land surfaces using measurements from OMI at 466 nm
Wenhan Qin
CORRESPONDING AUTHOR
Science Systems and Applications Inc., Lanham, MD, USA
Zachary Fasnacht
Science Systems and Applications Inc., Lanham, MD, USA
David Haffner
Science Systems and Applications Inc., Lanham, MD, USA
Alexander Vasilkov
Science Systems and Applications Inc., Lanham, MD, USA
Joanna Joiner
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Nickolay Krotkov
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Bradford Fisher
Science Systems and Applications Inc., Lanham, MD, USA
Robert Spurr
RT Solutions Inc., Cambridge, MA, USA
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- Retrieval of pseudo-BRDF-adjusted surface reflectance at 440 nm from the Geostationary Environmental Monitoring Spectrometer (GEMS) S. Sim et al. 10.5194/amt-17-5601-2024
- Version 2 Ozone Monitoring Instrument SO<sub>2</sub> product (OMSO2 V2): new anthropogenic SO<sub>2</sub> vertical column density dataset C. Li et al. 10.5194/amt-13-6175-2020
- Directionally dependent Lambertian-equivalent reflectivity (DLER) of the Earth's surface measured by the GOME-2 satellite instruments L. Tilstra et al. 10.5194/amt-14-4219-2021
- Applying FP_ILM to the retrieval of geometry-dependent effective Lambertian equivalent reflectivity (GE_LER) daily maps from UVN satellite measurements D. Loyola et al. 10.5194/amt-13-985-2020
- An Observing System Simulation Experiment Analysis of How Well Geostationary Satellite Trace‐Gas Observations Constrain NOx Emissions in the US C. Hsu et al. 10.1029/2023JD039323
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- Revised estimates of NO2 reductions during the COVID-19 lockdowns using updated TROPOMI NO2 retrievals and model simulations B. Fisher et al. 10.1016/j.atmosenv.2024.120459
- UV Index Forecasting under the Influence of Desert Dust: Evaluation against Surface and Satellite-Retrieved Data D. Roshan et al. 10.3390/atmos11010096
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- Retrieving land surface reflectance anisotropy with Sentinel-3 observations and prior BRDF model constraints J. León-Tavares et al. 10.1016/j.rse.2023.113967
- Use of machine learning and principal component analysis to retrieve nitrogen dioxide (NO2) with hyperspectral imagers and reduce noise in spectral fitting J. Joiner et al. 10.5194/amt-16-481-2023
- Satellite remote-sensing capability to assess tropospheric-column ratios of formaldehyde and nitrogen dioxide: case study during the Long Island Sound Tropospheric Ozone Study 2018 (LISTOS 2018) field campaign M. Johnson et al. 10.5194/amt-16-2431-2023
Latest update: 19 Nov 2024
Short summary
Satellite observations depend on Sun and view angles due to anisotropy of the Earth's atmosphere and surface reflection. But most of the ultraviolet and visible cloud, aerosol, and trace-gas algorithms utilize surface reflectivity databases that do not account for surface anisotropy. We create a surface database using the GLER concept which adequately accounts for surface anisotropy, validate it with independent satellite data, and provide a simple implementation to the current algorithms.
Satellite observations depend on Sun and view angles due to anisotropy of the Earth's atmosphere...
