Comparison of dust-layer heights from active and passive satellite sensors
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Published:2018-05-18
Issue:5
Volume:11
Page:2911-2936
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ISSN:1867-8548
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Container-title:Atmospheric Measurement Techniques
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language:en
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Short-container-title:Atmos. Meas. Tech.
Author:
Kylling ArveORCID, Vandenbussche SophieORCID, Capelle VirginieORCID, Cuesta JuanORCID, Klüser Lars, Lelli LucaORCID, Popp Thomas, Stebel KerstinORCID, Veefkind Pepijn
Abstract
Abstract. Aerosol-layer height is essential for understanding the
impact of aerosols on the climate system. As part of the European Space
Agency Aerosol_cci project, aerosol-layer height as derived from passive
thermal and solar satellite sensors measurements have been compared with
aerosol-layer heights estimated from CALIOP measurements. The Aerosol_cci
project targeted dust-type aerosol for this study. This ensures relatively
unambiguous aerosol identification by the CALIOP processing chain. Dust-layer
height was estimated from thermal IASI measurements using four different
algorithms (from BIRA-IASB, DLR, LMD, LISA) and from solar GOME-2 (KNMI) and
SCIAMACHY (IUP) measurements. Due to differences in overpass time of the
various satellites, a trajectory model was used to move the CALIOP-derived
dust heights in space and time to the IASI, GOME-2 and SCIAMACHY dust height
pixels. It is not possible to construct a unique dust-layer height from the
CALIOP data. Thus two CALIOP-derived layer heights were used: the cumulative
extinction height defined as the height where the CALIOP extinction column is
half of the total extinction column, and the geometric mean height, which is
defined as the geometrical mean of the top and bottom heights of the dust
layer. In statistical average over all IASI data there is a general tendency
to a positive bias of 0.5–0.8 km against CALIOP extinction-weighted
height for three of the four algorithms assessed, while the fourth algorithm
has almost no bias. When comparing geometric mean height there is a shift of
−0.5 km for all algorithms (getting close to zero for the three
algorithms and turning negative for the fourth). The standard deviation of
all algorithms is quite similar and ranges between 1.0 and 1.3 km.
When looking at different conditions (day, night, land, ocean), there is more
detail in variabilities (e.g. all algorithms overestimate more at night than
during the day). For the solar sensors it is found that on average SCIAMACHY
data are lower by −1.097 km (−0.961 km) compared to the
CALIOP geometric mean (cumulative extinction) height, and GOME-2 data are
lower by −1.393 km (−0.818 km).
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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