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
| 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
Viewed
Total article views: 5,733 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 21 Dec 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,548 | 1,082 | 103 | 5,733 | 104 | 123 |
- HTML: 4,548
- PDF: 1,082
- XML: 103
- Total: 5,733
- BibTeX: 104
- EndNote: 123
Total article views: 4,954 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Jun 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,111 | 754 | 89 | 4,954 | 91 | 112 |
- HTML: 4,111
- PDF: 754
- XML: 89
- Total: 4,954
- BibTeX: 91
- EndNote: 112
Total article views: 779 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 21 Dec 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 437 | 328 | 14 | 779 | 13 | 11 |
- HTML: 437
- PDF: 328
- XML: 14
- Total: 779
- BibTeX: 13
- EndNote: 11
Viewed (geographical distribution)
Total article views: 5,733 (including HTML, PDF, and XML)
Thereof 5,112 with geography defined
and 621 with unknown origin.
Total article views: 4,954 (including HTML, PDF, and XML)
Thereof 4,562 with geography defined
and 392 with unknown origin.
Total article views: 779 (including HTML, PDF, and XML)
Thereof 550 with geography defined
and 229 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
46 citations as recorded by crossref.
- The polarization crossfire (PCF) sensor suite focusing on satellite remote sensing of fine particulate matter PM2.5 from space Z. Li et al. 10.1016/j.jqsrt.2022.108217
- Aerosol Layer Height Retrieval Over Ocean From the Advanced Himawari Imager Using Spectral Reflectance Sensitivity H. Lim et al. 10.1109/LGRS.2023.3236299
- A first comparison of TROPOMI aerosol layer height (ALH) to CALIOP data S. Nanda et al. 10.5194/amt-13-3043-2020
- Validation of the TROPOMI/S5P aerosol layer height using EARLINET lidars K. Michailidis et al. 10.5194/acp-23-1919-2023
- Retrieving High Temporal Resolution Aerosol Layer Height From EPIC/DSCOVR Using Machine Learning Method X. Tian et al. 10.1109/TGRS.2024.3405186
- 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
- A Tale of Two Dust Storms: 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
- Aerosol Direct Radiative Effect Sensitivity Analysis T. Thorsen et al. 10.1175/JCLI-D-19-0669.1
- 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
- Retrieval algorithm for aerosol effective height from the Geostationary Environment Monitoring Spectrometer (GEMS) S. Park et al. 10.5194/amt-18-2241-2025
- Distributions and Direct Radiative Effects of Different Aerosol Types in North China N. Peng et al. 10.3390/rs15235511
- 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
- First atmospheric aerosol-monitoring results from the Geostationary Environment Monitoring Spectrometer (GEMS) over Asia Y. Cho et al. 10.5194/amt-17-4369-2024
- Potential of NASA’s Plankton, Aerosol, Cloud, and Ocean Ecosystem (PACE) Satellite Observations in the Oxygen Bands for Determining Aerosol Layer Height over Ocean X. Xu et al. 10.34133/remotesensing.0167
- 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
- Light-absorbing black carbon and brown carbon components of smoke aerosol from DSCOVR EPIC measurements over North America and central Africa M. Choi et al. 10.5194/acp-24-10543-2024
- Evaluation of Aerosol Properties Observed by DSCOVR/EPIC Instrument From the Earth‐Sun Lagrange 1 Orbit C. Ahn et al. 10.1029/2020JD033651
- The CHROMA cloud-top pressure retrieval algorithm for the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) satellite mission A. Sayer et al. 10.5194/amt-16-969-2023
- 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
- 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
- Enhancing Aerosol Vertical Distribution Retrieval With Combined LSTM and Transformer Model From OCO-2 O2 A-Band Observations Y. Wang et al. 10.1109/JSTARS.2025.3552310
- Performance of DSCOVR/EPIC diurnal aerosol products over China: Ground validation and intercomparison L. Gui et al. 10.1016/j.atmosres.2024.107268
- Multi-layer retrieval of aerosol optical depth in the troposphere using SEVIRI data: a case study of the European continent M. Pashayi et al. 10.5194/amt-18-1415-2025
- 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
- Effect of scattering angle on DSCOVR/EPIC observations G. Wen & A. Marshak 10.3389/frsen.2023.1188056
- 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
- Stereoscopic hyperspectral remote sensing of the atmospheric environment: Innovation and prospects C. Liu et al. 10.1016/j.earscirev.2022.103958
- Aerosol layer height (ALH) retrievals from oxygen absorption bands: intercomparison and validation among different satellite platforms, GEMS, EPIC, and TROPOMI H. Kim et al. 10.5194/amt-18-327-2025
- Raw EPIC Data Calibration A. Cede et al. 10.3389/frsen.2021.702275
- Pressure and temperature dependencies of air-perturbed O2 B-band line shapes K. Bielska et al. 10.1016/j.saa.2023.123185
- Aerosol Detection from the Cloud–Aerosol Transport System on the International Space Station: Algorithm Overview and Implications for Diurnal Sampling E. Nowottnick et al. 10.3390/atmos13091439
- First Mapping of Monthly and Diurnal Climatology of Saharan Dust Layer Height Over the Atlantic Ocean From EPIC/DSCOVR in Deep Space Z. Lu et al. 10.1029/2022GL102552
- Estimation of Aerosol Layer Height from OLCI Measurements in the O2A-Absorption Band over Oceans L. Jänicke et al. 10.3390/rs15164080
- Direct Retrieval of NO 2 Vertical Columns from UV-Vis (390-495 nm) Spectral Radiances Using a Neural Network C. Li et al. 10.34133/2022/9817134
- 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
- Evaluation of EPIC oxygen bands stability with radiative transfer simulations over the South Pole Y. Zhou et al. 10.1016/j.jqsrt.2023.108737
- Assessment of smoke plume height products derived from multisource satellite observations using lidar-derived height metrics for wildfires in the western US J. Huang et al. 10.5194/acp-24-3673-2024
- Lagrange Point Missions: The Key to next Generation Integrated Earth Observations. DSCOVR Innovation F. Valero et al. 10.3389/frsen.2021.745938
- Scattering and absorbing aerosols in the climate system J. Li et al. 10.1038/s43017-022-00296-7
- Assessment of clear-sky irradiance from 6S affected by local climatology of India S. Rizvi et al. 10.1016/j.jqsrt.2024.109166
46 citations as recorded by crossref.
- The polarization crossfire (PCF) sensor suite focusing on satellite remote sensing of fine particulate matter PM2.5 from space Z. Li et al. 10.1016/j.jqsrt.2022.108217
- Aerosol Layer Height Retrieval Over Ocean From the Advanced Himawari Imager Using Spectral Reflectance Sensitivity H. Lim et al. 10.1109/LGRS.2023.3236299
- A first comparison of TROPOMI aerosol layer height (ALH) to CALIOP data S. Nanda et al. 10.5194/amt-13-3043-2020
- Validation of the TROPOMI/S5P aerosol layer height using EARLINET lidars K. Michailidis et al. 10.5194/acp-23-1919-2023
- Retrieving High Temporal Resolution Aerosol Layer Height From EPIC/DSCOVR Using Machine Learning Method X. Tian et al. 10.1109/TGRS.2024.3405186
- 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
- A Tale of Two Dust Storms: 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
- Aerosol Direct Radiative Effect Sensitivity Analysis T. Thorsen et al. 10.1175/JCLI-D-19-0669.1
- 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
- Retrieval algorithm for aerosol effective height from the Geostationary Environment Monitoring Spectrometer (GEMS) S. Park et al. 10.5194/amt-18-2241-2025
- Distributions and Direct Radiative Effects of Different Aerosol Types in North China N. Peng et al. 10.3390/rs15235511
- 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
- First atmospheric aerosol-monitoring results from the Geostationary Environment Monitoring Spectrometer (GEMS) over Asia Y. Cho et al. 10.5194/amt-17-4369-2024
- Potential of NASA’s Plankton, Aerosol, Cloud, and Ocean Ecosystem (PACE) Satellite Observations in the Oxygen Bands for Determining Aerosol Layer Height over Ocean X. Xu et al. 10.34133/remotesensing.0167
- 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
- Light-absorbing black carbon and brown carbon components of smoke aerosol from DSCOVR EPIC measurements over North America and central Africa M. Choi et al. 10.5194/acp-24-10543-2024
- Evaluation of Aerosol Properties Observed by DSCOVR/EPIC Instrument From the Earth‐Sun Lagrange 1 Orbit C. Ahn et al. 10.1029/2020JD033651
- The CHROMA cloud-top pressure retrieval algorithm for the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) satellite mission A. Sayer et al. 10.5194/amt-16-969-2023
- 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
- 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
- Enhancing Aerosol Vertical Distribution Retrieval With Combined LSTM and Transformer Model From OCO-2 O2 A-Band Observations Y. Wang et al. 10.1109/JSTARS.2025.3552310
- Performance of DSCOVR/EPIC diurnal aerosol products over China: Ground validation and intercomparison L. Gui et al. 10.1016/j.atmosres.2024.107268
- Multi-layer retrieval of aerosol optical depth in the troposphere using SEVIRI data: a case study of the European continent M. Pashayi et al. 10.5194/amt-18-1415-2025
- 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
- Effect of scattering angle on DSCOVR/EPIC observations G. Wen & A. Marshak 10.3389/frsen.2023.1188056
- 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
- Stereoscopic hyperspectral remote sensing of the atmospheric environment: Innovation and prospects C. Liu et al. 10.1016/j.earscirev.2022.103958
- Aerosol layer height (ALH) retrievals from oxygen absorption bands: intercomparison and validation among different satellite platforms, GEMS, EPIC, and TROPOMI H. Kim et al. 10.5194/amt-18-327-2025
- Raw EPIC Data Calibration A. Cede et al. 10.3389/frsen.2021.702275
- Pressure and temperature dependencies of air-perturbed O2 B-band line shapes K. Bielska et al. 10.1016/j.saa.2023.123185
- Aerosol Detection from the Cloud–Aerosol Transport System on the International Space Station: Algorithm Overview and Implications for Diurnal Sampling E. Nowottnick et al. 10.3390/atmos13091439
- First Mapping of Monthly and Diurnal Climatology of Saharan Dust Layer Height Over the Atlantic Ocean From EPIC/DSCOVR in Deep Space Z. Lu et al. 10.1029/2022GL102552
- Estimation of Aerosol Layer Height from OLCI Measurements in the O2A-Absorption Band over Oceans L. Jänicke et al. 10.3390/rs15164080
- Direct Retrieval of NO 2 Vertical Columns from UV-Vis (390-495 nm) Spectral Radiances Using a Neural Network C. Li et al. 10.34133/2022/9817134
- 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
- Evaluation of EPIC oxygen bands stability with radiative transfer simulations over the South Pole Y. Zhou et al. 10.1016/j.jqsrt.2023.108737
- Assessment of smoke plume height products derived from multisource satellite observations using lidar-derived height metrics for wildfires in the western US J. Huang et al. 10.5194/acp-24-3673-2024
- Lagrange Point Missions: The Key to next Generation Integrated Earth Observations. DSCOVR Innovation F. Valero et al. 10.3389/frsen.2021.745938
- Scattering and absorbing aerosols in the climate system J. Li et al. 10.1038/s43017-022-00296-7
- Assessment of clear-sky irradiance from 6S affected by local climatology of India S. Rizvi et al. 10.1016/j.jqsrt.2024.109166
Latest update: 29 May 2025
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...
