Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space
<p>We present an algorithm for retrieving aerosol layer height (ALH) and aerosol optical depth (AOD) for smoke over vegetated land and water surfaces from measurements of the Earth Polychromatic Imaging Camera (EPIC) onboard the Deep Space Climate Observatory (DSCOVR). The algorithm uses Earth...
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Copernicus Publications
2019-06-01
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doaj-2b3dcb0eb85b475d918d2b326043bdac2020-11-25T01:08:57ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482019-06-01123269328810.5194/amt-12-3269-2019Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep spaceX. Xu0X. Xu1J. Wang2Y. Wang3J. Zeng4O. Torres5J. S. Reid6S. D. Miller7J. V. Martins8L. A. Remer9Department of Chemical and Biochemical Engineering, Center for Global and Regional Environmental Research, and Informatics Initiative, The University of Iowa, Iowa City, Iowa 52241, USAJoint Center for Earth Systems Technology and Department of Physics, University of Maryland Baltimore County, Baltimore, Maryland 21250, USADepartment of Chemical and Biochemical Engineering, Center for Global and Regional Environmental Research, and Informatics Initiative, The University of Iowa, Iowa City, Iowa 52241, USADepartment of Chemical and Biochemical Engineering, Center for Global and Regional Environmental Research, and Informatics Initiative, The University of Iowa, Iowa City, Iowa 52241, USADepartment of Chemical and Biochemical Engineering, Center for Global and Regional Environmental Research, and Informatics Initiative, The University of Iowa, Iowa City, Iowa 52241, USAAtmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland 20770, USAMarine Meteorology Division, Naval Research Laboratory, Monterey, California 93943, USACooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado 80523, USAJoint Center for Earth Systems Technology and Department of Physics, University of Maryland Baltimore County, Baltimore, Maryland 21250, USAJoint Center for Earth Systems Technology and Department of Physics, University of Maryland Baltimore County, Baltimore, Maryland 21250, USA<p>We present an algorithm for retrieving aerosol layer height (ALH) and aerosol optical depth (AOD) for smoke over vegetated land and water surfaces from measurements of the Earth Polychromatic Imaging Camera (EPIC) onboard the Deep Space Climate Observatory (DSCOVR). The algorithm uses Earth-reflected radiances in six EPIC bands in the visible and near-infrared and incorporates flexible spectral fitting that accounts for the specifics of land and water surface reflectivity. The fitting procedure first determines AOD using EPIC atmospheric window bands (443, 551, 680, and 780 <span class="inline-formula">nm</span>), then uses oxygen (<span class="inline-formula">O<sub>2</sub></span>) A and B bands (688 and 764 <span class="inline-formula">nm</span>) to derive ALH, which represents an optical centroid altitude. ALH retrieval over vegetated surface primarily takes advantage of measurements in the <span class="inline-formula">O<sub>2</sub></span> B band. We applied the algorithm to EPIC observations of several biomass burning events over the United States and Canada in August 2017. We found that the algorithm can be used to obtain AOD and ALH multiple times daily over water and vegetated land surface. Validation is performed against aerosol extinction profiles detected by the Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) and against AOD observed at nine Aerosol Robotic Network (AERONET) sites, showing, on average, an error of 0.58 <span class="inline-formula">km</span> and a bias of <span class="inline-formula">−0.13</span> <span class="inline-formula">km</span> in retrieved ALH and an error of 0.05 and a bias of 0.03 in retrieved AOD. Additionally, we show that the aerosol height information retrieved by the present algorithm can potentially benefit the retrieval of aerosol properties from EPIC's ultraviolet (UV) bands.</p>https://www.atmos-meas-tech.net/12/3269/2019/amt-12-3269-2019.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
X. Xu X. Xu J. Wang Y. Wang J. Zeng O. Torres J. S. Reid S. D. Miller J. V. Martins L. A. Remer |
spellingShingle |
X. Xu X. Xu J. Wang Y. Wang J. Zeng O. Torres J. S. Reid S. D. Miller J. V. Martins L. A. Remer Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space Atmospheric Measurement Techniques |
author_facet |
X. Xu X. Xu J. Wang Y. Wang J. Zeng O. Torres J. S. Reid S. D. Miller J. V. Martins L. A. Remer |
author_sort |
X. Xu |
title |
Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space |
title_short |
Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space |
title_full |
Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space |
title_fullStr |
Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space |
title_full_unstemmed |
Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space |
title_sort |
detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from epic/dscovr in deep space |
publisher |
Copernicus Publications |
series |
Atmospheric Measurement Techniques |
issn |
1867-1381 1867-8548 |
publishDate |
2019-06-01 |
description |
<p>We present an algorithm for retrieving aerosol layer height (ALH)
and aerosol optical depth (AOD) for smoke over vegetated land and water
surfaces from measurements of the Earth Polychromatic Imaging Camera (EPIC)
onboard the Deep Space Climate Observatory (DSCOVR). The algorithm uses
Earth-reflected radiances in six EPIC bands in the visible and near-infrared
and incorporates flexible spectral fitting that accounts for the specifics of
land and water surface reflectivity. The fitting procedure first determines
AOD using EPIC atmospheric window bands (443, 551, 680, and 780 <span class="inline-formula">nm</span>),
then uses oxygen (<span class="inline-formula">O<sub>2</sub></span>) A and B bands (688 and 764 <span class="inline-formula">nm</span>) to derive ALH,
which represents an optical centroid altitude. ALH retrieval over vegetated
surface primarily takes advantage of measurements in the <span class="inline-formula">O<sub>2</sub></span> B band. We
applied the algorithm to EPIC observations of several biomass burning events
over the United States and Canada in August 2017. We found that the
algorithm can be used to obtain AOD and ALH multiple times daily over water
and vegetated land surface. Validation is performed against aerosol
extinction profiles detected by the Cloud–Aerosol Lidar with Orthogonal
Polarization (CALIOP) and against AOD observed at nine Aerosol Robotic
Network (AERONET) sites, showing, on average, an error of 0.58 <span class="inline-formula">km</span> and a bias
of <span class="inline-formula">−0.13</span> <span class="inline-formula">km</span> in retrieved ALH and an error of 0.05 and a bias of 0.03 in
retrieved AOD. Additionally, we show that the aerosol height information
retrieved by the present algorithm can potentially benefit the retrieval of
aerosol properties from EPIC's ultraviolet (UV) bands.</p> |
url |
https://www.atmos-meas-tech.net/12/3269/2019/amt-12-3269-2019.pdf |
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