Articles | Volume 12, issue 6
https://doi.org/10.5194/amt-12-3269-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-12-3269-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
20 Jun 2019
Research article | Highlight paper |
| 20 Jun 2019
Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space
Department of Chemical and Biochemical Engineering, Center for Global
and Regional Environmental Research, and Informatics Initiative, The
University of Iowa, Iowa City, Iowa 52241, USA
Joint Center for Earth Systems Technology and Department of Physics,
University of Maryland Baltimore County, Baltimore, Maryland 21250, USA
Department of Chemical and Biochemical Engineering, Center for Global
and Regional Environmental Research, and Informatics Initiative, The
University of Iowa, Iowa City, Iowa 52241, USA
Yi Wang
Department of Chemical and Biochemical Engineering, Center for Global
and Regional Environmental Research, and Informatics Initiative, The
University of Iowa, Iowa City, Iowa 52241, USA
Jing Zeng
Department of Chemical and Biochemical Engineering, Center for Global
and Regional Environmental Research, and Informatics Initiative, The
University of Iowa, Iowa City, Iowa 52241, USA
Omar Torres
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space
Flight Center, Greenbelt, Maryland 20770, USA
Jeffrey S. Reid
Marine Meteorology Division, Naval Research Laboratory, Monterey,
California 93943, USA
Steven D. Miller
Cooperative Institute for Research in the Atmosphere, Colorado State
University, Fort Collins, Colorado 80523, USA
J. Vanderlei Martins
Joint Center for Earth Systems Technology and Department of Physics,
University of Maryland Baltimore County, Baltimore, Maryland 21250, USA
Lorraine A. Remer
Joint Center for Earth Systems Technology and Department of Physics,
University of Maryland Baltimore County, Baltimore, Maryland 21250, USA
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Cited
22 citations as recorded by crossref.
- The role of aerosol layer height in quantifying aerosol absorption from ultraviolet satellite observations J. Sun et al. 10.5194/amt-12-6319-2019
- Development of a nighttime shortwave radiative transfer model for remote sensing of nocturnal aerosols and fires from VIIRS J. Wang et al. 10.1016/j.rse.2020.111727
- A first comparison of TROPOMI aerosol layer height (ALH) to CALIOP data S. Nanda et al. 10.5194/amt-13-3043-2020
- First validation of GOME-2/MetOp absorbing aerosol height using EARLINET lidar observations K. Michailidis et al. 10.5194/acp-21-3193-2021
- Nighttime smoke aerosol optical depth over U.S. rural areas: First retrieval from VIIRS moonlight observations M. Zhou et al. 10.1016/j.rse.2021.112717
- Hourly Mapping of the Layer Height of Thick Smoke Plumes Over the Western U.S. in 2020 Severe Fire Season Z. Lu et al. 10.3389/frsen.2021.766628
- <i>A Tale of Two Dust Storms</i>: analysis of a complex dust event in the Middle East S. Miller et al. 10.5194/amt-12-5101-2019
- Aerosol Layer Height With Enhanced Spectral Coverage Achieved by Synergy Between VIIRS and OMPS-NM Measurements J. Lee et al. 10.1109/LGRS.2020.2992099
- Model Selection in Atmospheric Remote Sensing with an Application to Aerosol Retrieval from DSCOVR/EPIC, Part 1: Theory S. Sasi et al. 10.3390/rs12223724
- Aerosol Direct Radiative Effect Sensitivity Analysis T. Thorsen et al. 10.1175/JCLI-D-19-0669.1
- Stereoscopic hyperspectral remote sensing of the atmospheric environment: Innovation and prospects C. Liu et al. 10.1016/j.earscirev.2022.103958
- Raw EPIC Data Calibration A. Cede et al. 10.3389/frsen.2021.702275
- The 2018 fire season in North America as seen by TROPOMI: aerosol layer height intercomparisons and evaluation of model-derived plume heights D. Griffin et al. 10.5194/amt-13-1427-2020
- Investigating aerosol vertical distribution using CALIPSO time series over the Middle East and North Africa (MENA), Europe, and India: A BFAST-based gradual and abrupt change detection F. Brakhasi et al. 10.1016/j.rse.2021.112619
- Retrievals of Aerosol Optical Depth and Spectral Absorption From DSCOVR EPIC A. Lyapustin et al. 10.3389/frsen.2021.645794
- First retrieval of absorbing aerosol height over dark target using TROPOMI oxygen B band: Algorithm development and application for surface particulate matter estimates X. Chen et al. 10.1016/j.rse.2021.112674
- 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
- Characterization of Aerosol Type Over East Asia by 4.4 km MISR Product: First Insight and General Performance M. Tao et al. 10.1029/2019JD031909
- Can multi-angular polarimetric measurements in the oxygen-A and B bands improve the retrieval of aerosol vertical distribution? X. Chen et al. 10.1016/j.jqsrt.2021.107679
- Evaluation of Aerosol Properties Observed by DSCOVR/EPIC Instrument From the Earth‐Sun Lagrange 1 Orbit C. Ahn et al. 10.1029/2020JD033651
- Lagrange Point Missions: The Key to next Generation Integrated Earth Observations. DSCOVR Innovation F. Valero et al. 10.3389/frsen.2021.745938
- Simultaneous observation of speed dependence and Dicke narrowing for self-perturbed P-branch lines of O2 B band K. Bielska et al. 10.1016/j.jqsrt.2021.107927
22 citations as recorded by crossref.
- The role of aerosol layer height in quantifying aerosol absorption from ultraviolet satellite observations J. Sun et al. 10.5194/amt-12-6319-2019
- Development of a nighttime shortwave radiative transfer model for remote sensing of nocturnal aerosols and fires from VIIRS J. Wang et al. 10.1016/j.rse.2020.111727
- A first comparison of TROPOMI aerosol layer height (ALH) to CALIOP data S. Nanda et al. 10.5194/amt-13-3043-2020
- First validation of GOME-2/MetOp absorbing aerosol height using EARLINET lidar observations K. Michailidis et al. 10.5194/acp-21-3193-2021
- Nighttime smoke aerosol optical depth over U.S. rural areas: First retrieval from VIIRS moonlight observations M. Zhou et al. 10.1016/j.rse.2021.112717
- Hourly Mapping of the Layer Height of Thick Smoke Plumes Over the Western U.S. in 2020 Severe Fire Season Z. Lu et al. 10.3389/frsen.2021.766628
- <i>A Tale of Two Dust Storms</i>: analysis of a complex dust event in the Middle East S. Miller et al. 10.5194/amt-12-5101-2019
- Aerosol Layer Height With Enhanced Spectral Coverage Achieved by Synergy Between VIIRS and OMPS-NM Measurements J. Lee et al. 10.1109/LGRS.2020.2992099
- Model Selection in Atmospheric Remote Sensing with an Application to Aerosol Retrieval from DSCOVR/EPIC, Part 1: Theory S. Sasi et al. 10.3390/rs12223724
- Aerosol Direct Radiative Effect Sensitivity Analysis T. Thorsen et al. 10.1175/JCLI-D-19-0669.1
- Stereoscopic hyperspectral remote sensing of the atmospheric environment: Innovation and prospects C. Liu et al. 10.1016/j.earscirev.2022.103958
- Raw EPIC Data Calibration A. Cede et al. 10.3389/frsen.2021.702275
- The 2018 fire season in North America as seen by TROPOMI: aerosol layer height intercomparisons and evaluation of model-derived plume heights D. Griffin et al. 10.5194/amt-13-1427-2020
- Investigating aerosol vertical distribution using CALIPSO time series over the Middle East and North Africa (MENA), Europe, and India: A BFAST-based gradual and abrupt change detection F. Brakhasi et al. 10.1016/j.rse.2021.112619
- Retrievals of Aerosol Optical Depth and Spectral Absorption From DSCOVR EPIC A. Lyapustin et al. 10.3389/frsen.2021.645794
- First retrieval of absorbing aerosol height over dark target using TROPOMI oxygen B band: Algorithm development and application for surface particulate matter estimates X. Chen et al. 10.1016/j.rse.2021.112674
- 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
- Characterization of Aerosol Type Over East Asia by 4.4 km MISR Product: First Insight and General Performance M. Tao et al. 10.1029/2019JD031909
- Can multi-angular polarimetric measurements in the oxygen-A and B bands improve the retrieval of aerosol vertical distribution? X. Chen et al. 10.1016/j.jqsrt.2021.107679
- Evaluation of Aerosol Properties Observed by DSCOVR/EPIC Instrument From the Earth‐Sun Lagrange 1 Orbit C. Ahn et al. 10.1029/2020JD033651
- Lagrange Point Missions: The Key to next Generation Integrated Earth Observations. DSCOVR Innovation F. Valero et al. 10.3389/frsen.2021.745938
- Simultaneous observation of speed dependence and Dicke narrowing for self-perturbed P-branch lines of O2 B band K. Bielska et al. 10.1016/j.jqsrt.2021.107927
Latest update: 08 Jun 2023
Short summary
Detecting aerosol layer height from space is challenging. The traditional method relies on active sensors such as lidar that provide the detailed vertical structure of the aerosol profile but is costly with limited spatial coverage (more than 1 year is needed for global coverage). Here we developed a passive remote sensing technique that uses backscattered sunlight to retrieve smoke aerosol layer height over both water and vegetated surfaces from a sensor 1.5 million kilometers from the Earth.
Detecting aerosol layer height from space is challenging. The traditional method relies on...
