Articles | Volume 16, issue 1
https://doi.org/10.5194/acp-16-177-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-177-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
An optimal-estimation-based aerosol retrieval algorithm using OMI near-UV observations
U. Jeong
Dept. of Atmospheric Sciences, Yonsei University, Seoul, Korea
Dept. of Atmospheric Sciences, Yonsei University, Seoul, Korea
C. Ahn
Science Systems and Applications, Inc., Lanham, Maryland, USA
O. Torres
Goddard Space Flight Center, NASA, Greenbelt, Maryland, USA
Harvard-Smithsonian Center for Astrophysics, Cambridge, Massachusetts, USA
P. K. Bhartia
Goddard Space Flight Center, NASA, Greenbelt, Maryland, USA
R. J. D. Spurr
RT Solutions, Inc., 9 Channing Street, Cambridge, Massachusetts, USA
D. Haffner
Goddard Space Flight Center, NASA, Greenbelt, Maryland, USA
K. Chance
Harvard-Smithsonian Center for Astrophysics, Cambridge, Massachusetts, USA
B. N. Holben
Goddard Space Flight Center, NASA, Greenbelt, Maryland, USA
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- Satellite retrieval of aerosol combined with assimilated forecast M. Yoshida et al. 10.5194/acp-21-1797-2021
- A Fast Algorithm for Retrieving Maps of Atmospheric Pollution by Fine Particulate Matter from Multispectral Satellite Images S. Lisenko 10.1134/S1024856018010104
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- Aerosol Property Retrieval Algorithm over Northeast Asia from TANSO-CAI Measurements Onboard GOSAT S. Lee et al. 10.3390/rs9070687
- Generation of Hypothetical Radiances for Missing Green and Red Bands in Geostationary Environment Monitoring Spectrometer H. Ryu et al. 10.1109/JSTARS.2023.3280905
- An algorithm for hyperspectral remote sensing of aerosols: 3. Application to the GEO-TASO data in KORUS-AQ field campaign W. Hou et al. 10.1016/j.jqsrt.2020.107161
- Ground-based retrievals of aerosol column absorption in the UV spectral region and their implications for GEMS measurements S. Go et al. 10.1016/j.rse.2020.111759
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- Radiometric Cross-Calibration of Large-View-Angle Satellite Sensors Using Global Searching to Reduce BRDF Influence Q. Zhou et al. 10.1109/TGRS.2020.3019969
- GOCI Yonsei Aerosol Retrieval (YAER) algorithm and validation during the DRAGON-NE Asia 2012 campaign M. Choi et al. 10.5194/amt-9-1377-2016
- Directional Polarimetric Camera (DPC): Monitoring aerosol spectral optical properties over land from satellite observation Z. Li et al. 10.1016/j.jqsrt.2018.07.003
- Retrieval Accuracy of HCHO Vertical Column Density from Ground-Based Direct-Sun Measurement and First HCHO Column Measurement Using Pandora J. Park et al. 10.3390/rs10020173
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Latest update: 23 Nov 2024
Short summary
An aerosol retrieval and error analysis algorithm using OMI measurements based on an optimal-estimation method was developed in this study. The aerosol retrievals were validated using the DRAGON campaign products. The estimated errors of the retrievals represented the actual biases between retrieval and AERONET measurements well. The retrievals, with their estimated uncertainties, are expected to be valuable for relevant studies, such as trace gas retrieval and data assimilation.
An aerosol retrieval and error analysis algorithm using OMI measurements based on an...
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