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.
Research article
| 
18 Jan 2016
Research article |
| 18 Jan 2016
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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32 citations as recorded by crossref.
- Spectropolarimetric Characteristics of Brown Dwarfs. II. Uniform Clouds S. Sanghavi & R. West 10.3847/1538-4357/ab1b4e
- Effect of temperature-dependent cross sections on O4 slant column density estimation by a space-borne UV–visible hyperspectral sensor S. Park et al. 10.1016/j.atmosenv.2016.12.020
- Investigation of Simultaneous Effects of Aerosol Properties and Aerosol Peak Height on the Air Mass Factors for Space-Borne NO2 Retrievals H. Hong et al. 10.3390/rs9030208
- Improving Remote Sensing of Aerosol Microphysical Properties by Near‐Infrared Polarimetric Measurements Over Vegetated Land: Information Content Analysis W. Hou et al. 10.1002/2017JD027388
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- Retrieval and Validation of Aerosol Optical Properties Using Japanese Next Generation Meteorological Satellite, Himawari-8 H. Lim et al. 10.7780/kjrs.2016.32.6.12
- New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS) J. Kim et al. 10.1175/BAMS-D-18-0013.1
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- Investigation of the Effect of Spectral Fitting Windows on the SO2 Retrieval Based on the Radiance Simulation Using Principle Component Analysis J. Yang et al. 10.5572/KOSAE.2018.34.6.792
- First TROPOMI Retrieval of Aerosol Effective Height Using O₄ Absorption Band at 477 nm and Aerosol Classification W. Choi et al. 10.1109/TGRS.2020.3044050
- Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product N. Docter et al. 10.5194/amt-16-3437-2023
- 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
- Aerosol profiling using radiometric and polarimetric spectral measurements in the O2 near infrared bands: Estimation of information content and measurement uncertainties M. Choi et al. 10.1016/j.rse.2020.112179
- 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
- GOCI Yonsei aerosol retrieval version 2 products: an improved algorithm and error analysis with uncertainty estimation from 5-year validation over East Asia M. Choi et al. 10.5194/amt-11-385-2018
- 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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- Retrieval of hourly aerosol single scattering albedo over land using geostationary satellite data X. Jiang et al. 10.1038/s41612-024-00690-6
- The Effects of Aerosol on the Retrieval Accuracy of NO2 Slant Column Density H. Hong et al. 10.3390/rs9080867
- Simultaneous retrievals of biomass burning aerosols and trace gases from the ultraviolet to near-infrared over northern Thailand during the 2019 pre-monsoon season U. Jeong et al. 10.5194/acp-22-11957-2022
- Quantitative assessment of the potential of optimal estimation for aerosol retrieval from geostationary weather satellites in the frame of the iAERUS‐GEO algorithm A. Georgeot et al. 10.1002/asl.1199
- First atmospheric aerosol-monitoring results from the Geostationary Environment Monitoring Spectrometer (GEMS) over Asia Y. Cho et al. 10.5194/amt-17-4369-2024
- An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks B. Holben et al. 10.5194/acp-18-655-2018
- Synchronous Retrieval of LAI and Cab from UAV Remote Sensing: Development of Optimal Estimation Inversion Framework F. Zheng et al. 10.3390/agronomy13041119
- Retrieving aerosol single scattering albedo from FY-3D observations combining machine learning with radiative transfer model Q. Wang et al. 10.1016/j.atmosres.2024.107884
1 citations as recorded by crossref.
Latest update: 05 Jul 2025
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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