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
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- 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
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- 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
- Performance of DSCOVR/EPIC diurnal aerosol products over China: Ground validation and intercomparison L. Gui et al. 10.1016/j.atmosres.2024.107268
- 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
- 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
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Latest update: 22 Nov 2024
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...
