Articles | Volume 12, issue 15
https://doi.org/10.5194/acp-12-7087-2012
© Author(s) 2012. 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-12-7087-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
06 Aug 2012
Research article |
| 06 Aug 2012
Improvement of aerosol optical depth retrieval from MODIS spectral reflectance over the global ocean using new aerosol models archived from AERONET inversion data and tri-axial ellipsoidal dust database
J. Lee
Institute of Earth, Astronomy, and Atmosphere, Brain Korea 21 Program, Department of Atmospheric Sciences, Yonsei University, Seoul, Republic of Korea
Earth System Science Interdisciplinary Center, University of Maryland College Park, College Park, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
J. Kim
Institute of Earth, Astronomy, and Atmosphere, Brain Korea 21 Program, Department of Atmospheric Sciences, Yonsei University, Seoul, Republic of Korea
Joint Institute for Regional Earth System Science and Engineering, University of California Los Angeles, Los Angeles, CA, USA
P. Yang
Department of Atmospheric Sciences, Texas A&M University, College Station, TX, USA
N. C. Hsu
NASA Goddard Space Flight Center, Greenbelt, MD, USA
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Cited
39 citations as recorded by crossref.
- The new MISR research aerosol retrieval algorithm: a multi-angle, multi-spectral, bounded-variable least squares retrieval of aerosol particle properties over both land and water J. Limbacher et al. 10.5194/amt-15-6865-2022
- Efficient and Flexible Aggregation and Distribution of MODIS Atmospheric Products Based on Climate Analytics as a Service Framework J. Zheng et al. 10.3390/rs13173541
- AHI/Himawari-8 Yonsei Aerosol Retrieval (YAER): Algorithm, Validation and Merged Products H. Lim et al. 10.3390/rs10050699
- Retrievals of Aerosol Size Distribution, Spherical Fraction, and Complex Refractive Index From Airborne In Situ Angular Light Scattering and Absorption Measurements W. Espinosa et al. 10.1029/2018JD030009
- Mapping the Global Dust Storm Records: Review of Dust Data Sources in Supporting Modeling/Climate Study J. Wang 10.1007/s40726-015-0008-y
- GIST-PM-Asia v1: development of a numerical system to improve particulate matter forecasts in South Korea using geostationary satellite-retrieved aerosol optical data over Northeast Asia S. Lee et al. 10.5194/gmd-9-17-2016
- Comparison of AOD between CALIPSO and MODIS: significant differences over major dust and biomass burning regions X. Ma et al. 10.5194/amt-6-2391-2013
- Relative influence of meteorological conditions and aerosols on the lifetime of mesoscale convective systems S. Chakraborty et al. 10.1073/pnas.1601935113
- Aerosol Property Retrieval Algorithm over Northeast Asia from TANSO-CAI Measurements Onboard GOSAT S. Lee et al. 10.3390/rs9070687
- Development of Korean Air Quality Prediction System version 1 (KAQPS v1) with focuses on practical issues K. Lee et al. 10.5194/gmd-13-1055-2020
- AERONET-based models of smoke-dominated aerosol near source regions and transported over oceans, and implications for satellite retrievals of aerosol optical depth A. Sayer et al. 10.5194/acp-14-11493-2014
- Merged dust climatology in Phoenix, Arizona based on satellite and station data H. Lei et al. 10.1007/s00382-016-2997-7
- Assimilating AOD retrievals from GOCI and VIIRS to forecast surface PM2.5 episodes over Eastern China J. Pang et al. 10.1016/j.atmosenv.2018.02.011
- Assessment of long-range transboundary aerosols in Seoul, South Korea from Geostationary Ocean Color Imager (GOCI) and ground-based observations S. Lee et al. 10.1016/j.envpol.2020.115924
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- In situ measurements of angular-dependent light scattering by aerosols over the contiguous United States W. Espinosa et al. 10.5194/acp-18-3737-2018
- Aerosol optical properties derived from the DRAGON-NE Asia campaign, and implications for a single-channel algorithm to retrieve aerosol optical depth in spring from Meteorological Imager (MI) on-board the Communication, Ocean, and Meteorological Satellite (COMS) M. Kim et al. 10.5194/acp-16-1789-2016
- Remote sensing of aerosol properties from multi-wavelength and multi-pixel information over the ocean C. Shi et al. 10.5194/acp-19-2461-2019
- First atmospheric aerosol-monitoring results from the Geostationary Environment Monitoring Spectrometer (GEMS) over Asia Y. Cho et al. 10.5194/amt-17-4369-2024
- Comparison of aerosol optical depth between observation and simulation from MIROC-SPRINTARS: Effects of temporal inhomogeneous sampling S. Park et al. 10.1016/j.atmosenv.2018.05.021
- Enhanced Rayleigh Scattering Calibration for FY-3D MERSI II Sensor With Extensive and Long Term Ocean Samples W. Chen et al. 10.1109/JSTARS.2024.3443251
- Simultaneous retrieval of aerosol properties and clear-sky direct radiative effect over the global ocean from MODIS J. Lee et al. 10.1016/j.atmosenv.2014.04.021
- Observed characteristics of dust storm events over the western United States using meteorological, satellite, and air quality measurements H. Lei & J. Wang 10.5194/acp-14-7847-2014
- An optimal-estimation-based aerosol retrieval algorithm using OMI near-UV observations U. Jeong et al. 10.5194/acp-16-177-2016
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- AERONET‐Based Nonspherical Dust Optical Models and Effects on the VIIRS Deep Blue/SOAR Over Water Aerosol Product J. Lee et al. 10.1002/2017JD027258
- Estimating ground-level PM<sub>2.5</sub> in eastern China using aerosol optical depth determined from the GOCI satellite instrument J. Xu et al. 10.5194/acp-15-13133-2015
- Analysis of Aerosol Properties in Beijing Based on Ground-Based Sun Photometer and Air Quality Monitoring Observations from 2005 to 2014 W. Chen et al. 10.3390/rs8020110
- 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
- Integration of GOCI and AHI Yonsei aerosol optical depth products during the 2016 KORUS-AQ and 2018 EMeRGe campaigns H. Lim et al. 10.5194/amt-14-4575-2021
- In-Flight Calibration of GF-1/WFV Visible Channels Using Rayleigh Scattering X. Chen et al. 10.3390/rs9060513
- 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
- An exploratory study on the aerosol height retrieval from OMI measurements of the 477 nm O<sub>2</sub> − O<sub>2</sub> spectral band using a neural network approach J. Chimot et al. 10.5194/amt-10-783-2017
- Satellite Ocean Aerosol Retrieval (SOAR) Algorithm Extension to S‐NPP VIIRS as Part of the “Deep Blue” Aerosol Project A. Sayer et al. 10.1002/2017JD027412
- Evaluation of a new internally-mixed aerosol optics scheme in the weather research and forecasting model Z. Wang et al. 10.1016/j.jqsrt.2022.108147
- 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
39 citations as recorded by crossref.
- The new MISR research aerosol retrieval algorithm: a multi-angle, multi-spectral, bounded-variable least squares retrieval of aerosol particle properties over both land and water J. Limbacher et al. 10.5194/amt-15-6865-2022
- Efficient and Flexible Aggregation and Distribution of MODIS Atmospheric Products Based on Climate Analytics as a Service Framework J. Zheng et al. 10.3390/rs13173541
- AHI/Himawari-8 Yonsei Aerosol Retrieval (YAER): Algorithm, Validation and Merged Products H. Lim et al. 10.3390/rs10050699
- Retrievals of Aerosol Size Distribution, Spherical Fraction, and Complex Refractive Index From Airborne In Situ Angular Light Scattering and Absorption Measurements W. Espinosa et al. 10.1029/2018JD030009
- Mapping the Global Dust Storm Records: Review of Dust Data Sources in Supporting Modeling/Climate Study J. Wang 10.1007/s40726-015-0008-y
- GIST-PM-Asia v1: development of a numerical system to improve particulate matter forecasts in South Korea using geostationary satellite-retrieved aerosol optical data over Northeast Asia S. Lee et al. 10.5194/gmd-9-17-2016
- Comparison of AOD between CALIPSO and MODIS: significant differences over major dust and biomass burning regions X. Ma et al. 10.5194/amt-6-2391-2013
- Relative influence of meteorological conditions and aerosols on the lifetime of mesoscale convective systems S. Chakraborty et al. 10.1073/pnas.1601935113
- Aerosol Property Retrieval Algorithm over Northeast Asia from TANSO-CAI Measurements Onboard GOSAT S. Lee et al. 10.3390/rs9070687
- Development of Korean Air Quality Prediction System version 1 (KAQPS v1) with focuses on practical issues K. Lee et al. 10.5194/gmd-13-1055-2020
- AERONET-based models of smoke-dominated aerosol near source regions and transported over oceans, and implications for satellite retrievals of aerosol optical depth A. Sayer et al. 10.5194/acp-14-11493-2014
- Merged dust climatology in Phoenix, Arizona based on satellite and station data H. Lei et al. 10.1007/s00382-016-2997-7
- Assimilating AOD retrievals from GOCI and VIIRS to forecast surface PM2.5 episodes over Eastern China J. Pang et al. 10.1016/j.atmosenv.2018.02.011
- Assessment of long-range transboundary aerosols in Seoul, South Korea from Geostationary Ocean Color Imager (GOCI) and ground-based observations S. Lee et al. 10.1016/j.envpol.2020.115924
- Combined dust detection algorithm by using MODIS infrared channels over East Asia S. Park et al. 10.1016/j.rse.2013.09.019
- Quantitative evaluation of uncertainties in satellite retrieval of dust-like aerosols induced by spherical assumption C. Li et al. 10.1016/j.jqsrt.2014.01.003
- New approach to monitor transboundary particulate pollution over Northeast Asia M. Park et al. 10.5194/acp-14-659-2014
- Retrieving the height of smoke and dust aerosols by synergistic use of VIIRS, OMPS, and CALIOP observations J. Lee et al. 10.1002/2015JD023567
- In situ measurements of angular-dependent light scattering by aerosols over the contiguous United States W. Espinosa et al. 10.5194/acp-18-3737-2018
- Aerosol optical properties derived from the DRAGON-NE Asia campaign, and implications for a single-channel algorithm to retrieve aerosol optical depth in spring from Meteorological Imager (MI) on-board the Communication, Ocean, and Meteorological Satellite (COMS) M. Kim et al. 10.5194/acp-16-1789-2016
- Remote sensing of aerosol properties from multi-wavelength and multi-pixel information over the ocean C. Shi et al. 10.5194/acp-19-2461-2019
- First atmospheric aerosol-monitoring results from the Geostationary Environment Monitoring Spectrometer (GEMS) over Asia Y. Cho et al. 10.5194/amt-17-4369-2024
- Comparison of aerosol optical depth between observation and simulation from MIROC-SPRINTARS: Effects of temporal inhomogeneous sampling S. Park et al. 10.1016/j.atmosenv.2018.05.021
- Enhanced Rayleigh Scattering Calibration for FY-3D MERSI II Sensor With Extensive and Long Term Ocean Samples W. Chen et al. 10.1109/JSTARS.2024.3443251
- Simultaneous retrieval of aerosol properties and clear-sky direct radiative effect over the global ocean from MODIS J. Lee et al. 10.1016/j.atmosenv.2014.04.021
- Observed characteristics of dust storm events over the western United States using meteorological, satellite, and air quality measurements H. Lei & J. Wang 10.5194/acp-14-7847-2014
- An optimal-estimation-based aerosol retrieval algorithm using OMI near-UV observations U. Jeong et al. 10.5194/acp-16-177-2016
- Analysis of Aerosol Optical Properties for High Particulate Matters and Light Asian Dust in Seoul Using GOCI D. Kim et al. 10.5572/KOSAE.2017.33.3.233
- AERONET‐Based Nonspherical Dust Optical Models and Effects on the VIIRS Deep Blue/SOAR Over Water Aerosol Product J. Lee et al. 10.1002/2017JD027258
- Estimating ground-level PM<sub>2.5</sub> in eastern China using aerosol optical depth determined from the GOCI satellite instrument J. Xu et al. 10.5194/acp-15-13133-2015
- Analysis of Aerosol Properties in Beijing Based on Ground-Based Sun Photometer and Air Quality Monitoring Observations from 2005 to 2014 W. Chen et al. 10.3390/rs8020110
- 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
- Integration of GOCI and AHI Yonsei aerosol optical depth products during the 2016 KORUS-AQ and 2018 EMeRGe campaigns H. Lim et al. 10.5194/amt-14-4575-2021
- In-Flight Calibration of GF-1/WFV Visible Channels Using Rayleigh Scattering X. Chen et al. 10.3390/rs9060513
- 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
- An exploratory study on the aerosol height retrieval from OMI measurements of the 477 nm O<sub>2</sub> − O<sub>2</sub> spectral band using a neural network approach J. Chimot et al. 10.5194/amt-10-783-2017
- Satellite Ocean Aerosol Retrieval (SOAR) Algorithm Extension to S‐NPP VIIRS as Part of the “Deep Blue” Aerosol Project A. Sayer et al. 10.1002/2017JD027412
- Evaluation of a new internally-mixed aerosol optics scheme in the weather research and forecasting model Z. Wang et al. 10.1016/j.jqsrt.2022.108147
- 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
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